Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(67)
- Merdan, Mehmet(59)
- Duran, Celal(49)
- Ozdes, Duygu(46)
- Kaygusuz, Abdullah(45)
- Demir, Selim(37)
- Turan, Ibrahim(37)
- Karsli, Orhan(36)
- Öztürk, Serkan(35)
- Dokuz, Abdurrahman(34)
- Araz, Onur(32)
- Kandemir, Raif(31)
- Kulakaç, Nurşen(29)
- Sipahi, Ferkan(29)
- Arslan, Mehmet(27)
- Baltaci, Cemalettin(27)
- Baltacı, Cemalettin(27)
- Kurt, Kemal(27)
- Topal, Fevzi(27)
- Gücer, Mehmet Ali(25)
- Peker, Iskender(25)
- Aydin, Faruk(24)
- Bayrakdaroglu, Serdar(24)
- Maden, Nafiz(24)
- Ozturk, Samet(24)
- Vural, Alaaddin(24)
- Yolcu, Halil(24)
- Yücel, Cem(24)
- Aliyazicioglu, Yuksel(23)
- Kankal, Murat(23)
- Reis, Hatice Catal(23)
- Ürkek, Bayram(23)
- Günen, Mehmet Akif(22)
- Kurnaz, Muammer(22)
- Topal, Meryem(22)
- Karimullah, Suud Sarim(21)
- Uysal, Ibrahim(21)
- Ashyralyyev, Charyyar(20)
- Aydin, Aydanur(20)
- Bayraktar, Alemdar(20)
Yayınlar
- Derleme MakaleYayıncıda açık erişim2024Scopus SJRQ1From Garden to Pillow: Understanding the Relationship between Plant-Based Nutrition and Quality of Sleep
Arslan, Neslihan; Bozkır, Eda; Koçak, Tevfik; Akin, Meleksen; Yilmaz, Birsen
The effect of diet on sleep quality has been addressed in many studies; however, whether/how plant-based diets (PBDs) impact sleep-related parameters has not been explored in detail. This review aims to give an overview of the components of PBDs and the possible mechanisms through which PBDs may improve sleep quality. Studies have indicated that diets such as PBDs, which are typically high in fruits, vegetables, nuts, seeds, whole grains, and fiber, are associated with better sleep outcomes, including less fragmented sleep and improved sleep duration. Several mechanisms may explain how PBDs impact and/or improve sleep outcomes. Firstly, PBDs are characteristically rich in certain nutrients, such as magnesium and vitamin B6, which have been associated with improved sleep patterns. Secondly, PBDs are often lower in saturated fats and higher in fiber, which may contribute to better overall health, including sleep quality. Additionally, plant bioactive compounds like phytochemicals and antioxidants in fruits, vegetables, and herbs may have sleep-promoting effects. According to available data, PBD and Mediterranean diet elements promise to enhance sleep quality; however, it is crucial to note that diets should be customized based on each person’s needs.
AtıfScopus20WoS17OpenAlex21
İncele - MakaleAçık Erişim2024Scopus SJRQ1Improving brain tumor classification with combined convolutional neural networks and transfer learning
İncir, Ramazan; Bozkurt, Ferhat
Brain tumors pose a serious threat, causing the deaths of thousands of people worldwide, and can lead to life-threatening consequences when not accurately diagnosed. The classification of brain tumors and the determination of correct treatment strategies are crucial, yet this process encounters various challenges. These tumors originate from different cell types and exhibit diversity in growth rates, histological features, and genetic structures. Some may show similarities at the microscopic level, complicating classification and making diagnosis and treatment challenging. The examination of brain MR images is a widely used method in diagnosing brain tumors. However, occasional misdiagnosis of tumors can lead to ineffective responses to treatments and reduced chances of survival for patients. Traditional machine learning classifiers require manually determined features, which is quite time-consuming. On the other hand, deep learning is highly effective in feature extraction and has recently been widely preferred in classification. In this context, the effectiveness of transfer learning architectures in brain tumor diagnosis was evaluated. Six different transfer learning architectures, including ResNet-50, MobileNet, VGG16, Inception-V3, DenseNet-121, and EfficientNetV2-M, were used in this study. A public MRI dataset was used for model validation and comparison with similar studies. To address the imbalance in the number of images among classes in the dataset, data augmentation techniques such as random rotation were applied during data preprocessing. Experiments revealed that the EfficientNetV2-M model outperformed other architectures with a 98.01% accuracy rate. Additionally, the study aimed to create a new model with more comprehensive feature extraction and generalization ability by combining the advantages of multiple models in different combinations. In this context, combinations of EfficientNetV2-M architecture with Inception-V3 and DenseNet-121 architectures were formed. Through these combinations, a concatenation-based EfficientNetV2-M + Inception-V3 model achieved a 98.41% accuracy value. It was observed that the proposed concatenation-based model outperformed advanced methods in improving medical imaging techniques and patient outcomes.
AtıfScopus75WoS49OpenAlex67İncele - MakaleAçık Erişim2024Scopus SJRQ3Functional outcome and single hop test results of ACL reconstruction in athletes at a follow-up of 6 and 12 months: modified all-inside versus conventional hamstring autograft
Yoldaş, Burak; Yılmaz, Ali Kerim; Yılmaz, Coşkun; Akdemir, Enes; Anıl, Berna; Benli, Merve Demir; Genç, Ahmet Serhat; Kehribar, Lokman
Anterior cruciate ligament (ACL) tears are injuries with a high incidence in athletes, and ACL reconstruction (ACLR) is a surgical treatment orthopedists perform. This study aims to compare the 6 and 12 months post-op results of single leg hop tests (SLHT) performed in multidirectional conventional semitendinosus/gracilis (ST/G) and modified all inside (MAI) ACLR techniques on both sides and the limb symmetry indexes (LSI) of both techniques. This study evaluated a retrospective cohort of 50 male athletes who applied MAI (n = 23) and traditional ACLR ST/G (n = 27) techniques. Functional knee strength of the participants on both sides was measured with different SLHTs at 6 and 12 months postoperatively. The SLHT included medial side (MSTH), triple hop (TH), medial rotation (90◦) (MRH), crossover triple (CH) ve the single hop (SH) hop for distance. Both ACLR techniques showed significant improvement in mean Tegner, International Knee Documentation Committee (IKDC) and Lysholm scores preoperatively and at 6 and 12 months postoperatively (p < 0.05). For MAI and ST/G techniques, there was no significant difference in the results of SLHTs at 6 and 12 months for both the operated and non-operated sides (p < 0.05). Significance was found only in the MRH test of the non-operated side (p < 0.05). There was no significant difference in SLHT scores between the operated and non-operated sides at 6 and 12 months postoperatively (p > 0.05). There was no difference in LSI scores between techniques (p < 0.05). Our study revealed similar LSI rates in ST/G and MAI techniques at 6 and 12 months, suggesting that MAI technique can be used as a functional ACLR technique for athletes.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2024Scopus SJRQ2Performance Comparison of Various Tunnel Lighting Scenarios on Driver Lane-Changing Behaviours in a Driving Simulator
Ozturk, Omer Faruk; Mazlum, Yusuf; Aydin, Metin Mutlu; Coruh, Emine; Bayata, Halim Ferit
Recent advances in tunnel infrastructure have emphasized safety, operational efficiency and low operating costs. Modern tunnels are equipped with systems to improve both safety and operational performance. This study investigates the effect of tunnel lighting and vehicle breakdown scenarios on driver lane changing behaviour (LCB) using a driving simulator modelled on the third longest twin-tube tunnel. Data were collected from 125 drivers considering various driver characteristics with different lighting conditions and the presence of a stopped vehicle in a lane. The results show that drivers tend to slow down and change lanes more safely in response to red and flashing lights. In contrast, blue sky lights, which are designed to reduce stress and compare with other dangerous scenarios, had no significant effect on LCB. In addition, demographic factors such as gender and previous simulator experience played a role in influencing LCB tendencies. Female drivers and those familiar with simulators showed more cautious behaviour. The findings showed valuable insights into how tunnel lighting systems can improve safety. Results highlighted the potential for dynamic lighting and targeted driver training programs to improve tunnel safety. All these findings may contribute to ongoing efforts to improve traffic management and reduce accidents in tunnel environments.
AtıfScopus4WoS4OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ3The Effect of Oral and Dental Health Status on the Self-Esteem Levels of Turkish University Youth
Alsaç, Selda Yüzer; Oztas, Gulay; Acar, Mukaddes Demir; Tuncay, Birgül; Coskun, Adnan Batuhan
Objectives: This study aimed to investigate the impact of oral and dental health status on the self-esteem levels of Turkish university youth. Methods: This descriptive cross-sectional study included a sample of 962 Turkish university youth, aged 16 - 24, who met all the study criteria during the 2020 - 2021 academic year. Data were collected using a questionnaire and the Rosenberg Self-Esteem Scale (RSES). The data were analyzed with SPSS version 23.0. T-tests were used for pairwise comparisons, and one-way ANOVA was used for multiple comparisons. Results: Among the students who participated in the study, 56.7% were found to have high self-esteem, with a mean RSES score of 1.69 ± 1.62. Statistically significant differences were found between the RSES score and several factors, including decayed teeth (P < 0.01), presence of halitosis (P < 0.01), tooth color (P < 0.01), crooked teeth (P = 0.045), and toothache (P = 0.008). It was determined that dental crookedness, decayed teeth, bad breath, dark yellow teeth, the presence of tooth fillings, and extracted teeth were negatively associated with self-esteem. However, no statistically significant differences were found between selfesteem and factors such as the presence of tooth fillings, extracted teeth, tooth brushing habits, frequency of dental visits, or snack food consumption (P > 0.05). Conclusions: The results of this study reveal that poor oral care negatively impacts individuals' self-esteem. Issues related to oral and dental health, particularly concerning the appearance and condition of teeth, affect young people's relationships and self-confidence in social environments. It is crucial to develop family and school education programs, as well as national policies, particularly during childhood and university years, when attitudes toward oral and dental health are being established.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2024Scopus SJRQ2Advanced Tomato Disease Detection Using the Fusion of Multiple Deep-Learning and Meta-Learning Techniques
Catal Reis, Hatice
Automatic and early detection of diseases in crops is important for producers in terms of product yield. Methods are needed to diagnose the disease and select interventions for tomato leaf. This study aims to create a novel framework for automatically extracting tomato leaf disease. The recommended method automatically detects diseases in three classes: healthy, early, and late blight. This study developed a multi-deep and meta-learning fusion framework that automatically combines modern deep-learning algorithms and meta-classifiers to detect tomato leaf disease. The study includes CNN, transformer, and MLP-based models previously trained with the ImageNet dataset and voting classifier (VtC) methods, which are meta-classifiers. Hybrid approaches have been developed using the VtC method and deep learning algorithms such as CoAtNet, FasterNet, FastViT, WaveMLP, and DenseNet201. In addition to the proposed hybrid framework, different types of deep learning models based on CNN, transformer, MLP, transfer learning, and the dataset improved by the CLAHE technique and the original dataset were used to diagnose tomato leaf diseases. While CNN-based modern architectures include DenseNet201, MobileNet, LCNet, GhostNet, CoAtNet, ConvMixer, and FasterNet, transformer architectures include BeiT, FlexiViT, MaxViT, FastViT, and MLP-based architectures include MLP mixer and WaveMLP models. In the classification performed with original images, the proposed method produced incorrect results in only five images among 900 test data. In the classification made with CLAHE images, the proposed hybrid framework produced the most successful result in this study, producing incorrect results in only four images.
AtıfScopus9WoS8OpenAlex8İncele - MakaleAçık Erişim2024Scopus SJRQ3Noise as a physical risk factor in furniture industry machines
Yasar, Sekip Sadiye; Komut, Osman; Yasar, Mehmet; Fidan, Muhammed Said
This study aimed to determine the risk level of noise, which is an important physical risk, in small and medium-sized furniture industry enterprises. The noise levels of the circular sawing machines, edge banding machines, and mitre cutting machines, which are among the main processing machines of the sector, were measured. The study was carried out in 32 furniture businesses. The possible risks of noise on the operators of the machines in question and other employees were evaluated. Noise level measurements were made with the help of TESTO 815 measuring device. Dunnett’s T3 test was used to detect differences in noise levels for machine operators and other employees. It was determined that the edge banding machine does not pose an occupational health and safety risk in terms of noise risk factors. However, the mitre cutting machine and the circular sawing machine pose a risk for the machine operator in active production by creating noise above the established exposure limit value. The mitre cutting machine carries the same risk for the machine operator when it is in operation but in passive production. The results revealed the need for personal protective equipment for machine operators for mitre cutting and circular sawing machine.
AtıfScopus2WoS1OpenAlex3İncele - MakaleAçık Erişim2024Determination of University Students’ Preventive Attitudes for Lung Cancer and Healthy Life Awareness and The Influencing Factors; [Üniversite Öğrencilerinin Akciğer Kanserinden Korunmaya Yönelik Tutum ve Sağlıklı Yaşam Farkındalıkları ile Etkileyen Faktörlerin Belirlenmesi]
Demir Doğan, Melike
Objective: This study was conducted to determine the attitudes of university students towards lung cancer screening and healthy lifestyle and the factors affecting these attitudes. Material and Method: In this descriptive cross-sectional study, data were collected from 295 students between September 2022 and February 2023 using personal information form, Healthy Living Awareness Scale, and Health Belief Model Scale for Lung Cancer and Screenings. Results: It was observed that the perception of sensitivity and perception of obstacle subscales of the Health Belief Model Scale for Lung Cancer and Screenings were higher in males than females, and those with extended families had higher perception of violence and perception of obstacle than those with nuclear families. Perception of sensitivity and perception of violence decreased as general health status improved. Sensitivity perception was higher in smokers compared to non-smokers. Health motivation was higher in non-smokers than smokers. In addition, perception of barrier was higher in alcohol consumers compared to non-consumers. As the awareness of healthy living increased, the perception of violence and perception of barrier subscales of the health belief model of lung cancer orientation decreased. Conclusion: Consequently, it was determined that the students perceived lung cancer screening as beneficial, but they were not sensitive enough to have screening. The barrier perception related to screening was low, the health motivation was high and the severity perception was moderate.
- 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.
AtıfScopus1WoS1OpenAlex2İncele - 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