Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(66)
- Merdan, Mehmet(56)
- Duran, Celal(50)
- Ozdes, Duygu(47)
- Kaygusuz, Abdullah(42)
- Demir, Selim(37)
- Turan, Ibrahim(37)
- Ashyralyyev, Charyyar(34)
- Dokuz, Abdurrahman(33)
- Araz, Onur(31)
- Öztürk, Serkan(31)
- Sipahi, Ferkan(30)
- Kandemir, Raif(28)
- Arslan, Mehmet(27)
- Karsli, Orhan(27)
- Kulakaç, Nurşen(26)
- Baltacı, Cemalettin(25)
- Gücer, Mehmet Ali(25)
- Kurt, Kemal(25)
- Maden, Nafiz(25)
- Ozturk, Samet(25)
- Topal, Fevzi(25)
- Baltaci, Cemalettin(24)
- Yücel, Cem(24)
- Aliyazicioglu, Yuksel(23)
- Bayrakdaroglu, Serdar(23)
- Kankal, Murat(23)
- Peker, Iskender(23)
- Yolcu, Halil(23)
- Reis, Hatice Catal(21)
- Topal, Meryem(21)
- Vural, Alaaddin(21)
- Aydin, Aydanur(20)
- Aydin, Faruk(20)
- Bayraktar, Alemdar(20)
- Kurnaz, Muammer(20)
- Çelik, Necati(20)
- Ürkek, Bayram(20)
- Cakir, Tufan(18)
- Günen, Mehmet Akif(18)
Yayınlar
- MakaleAçık Erişim2024Scopus SJRQ1Thermal resistance of Listeria monocytogenes, Escherichia coli O157:H7 and Salmonella in animal fat – Kinetic analysis and mathematical modeling
Ozturk, Samet; Huang, Lihan; Hwang, Cheng-An; Sheen, Shiowshuh
The objective of this study was to evaluate the effect of fat on thermal resistance of L. monocytogenes, E. coli O157:H7, and Salmonella spp. A 4-strain cocktail of each microorganism was inoculated to beef tallow and heated isothermally at temperatures between 55 and 80℃. All survival curves did not follow the 1st-order inactivation kinetics but conformed to a two-stage linear pattern. The first stage was markedly less heat-resistant than the second, as manifested by significantly lower D values. The z values of E. coli O157 H7 and Salmonella spp. were 11.8 °C and 12.3 °C in the first stage (z1) but increased to 23.7 °C and 20.8 °C in the second stage (z2), respectively. For L. monocytogenes, while the z values were similar for both stages (z1 = 19.6 °C and z2 = 18.5 °C), the second stage D values are 3.6–5.9 times of those in the first stage. One-step analysis was used to fit the nonlinear curves to the Weibull model, yielding < 1 exponents for the model (0.495, 0.362, and 0.282, respectively, for L. monocytogenes, E. coli O157:H7, and Salmonella spp.), suggesting gradually increased thermal resistance during heating. The experimental results showed that these microorganisms could resist heating for longer time and at higher temperatures in tallow than they do in regular meats containing lower levels of fat. The kinetic models can be used to develop thermal processes to properly inactivate pathogens contaminated in the fat portions of meat products or other high fat products.
AtıfScopus9WoS8OpenAlex10
İncele - MakaleAçık Erişim2024Scopus SJRQ1Evaluation of Spiritual Care and Well-Being Levels of Individuals Diagnosed with Lung Cancer in Turkey
Çakmak, Seher; Demir Doğan, Melike; Selim, Nisanur; Kalleci, Gülse Nur
This study aimed to assess the spiritual care needs and spiritual well-being levels of lung cancer patients undergoing chemotherapy (CT). This descriptive cross-sectional study was conducted with 110 patients in the outpatient CT unit of a university hospital. Data were collected using a personal information form, the “Three-Factor Spiritual Well-Being Scale” and the “Spiritual Care Needs Scale.” The average age of participants was 62.6 ± 8.0 years. Patients with a university or above education level, civil servants, self-employed individuals, those receiving only CT, and those with less than 5 CT cycles had significantly higher spiritual well-being scores (p < 0.05). Spiritual care needs scale scores were significantly higher for married individuals and those receiving only CT (p < 0.05). In conclusion, both spiritual well-being levels and spiritual care needs were observed to be high among lung cancer patients.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2024Scopus SJRQ2Fatigue and tensile behaviour of Ti+TiN+Ti+TiVN multilayer nitride films coated on AZ91 magnesium alloy by closed field unbalanced magnetron sputtering
Alibeyoğlu, Fatih; Karabudak, Filiz; Yeşildal, Ruhi; Balcı, Arif; Efeoğlu, İhsan; Ateş, Onur Kazım
Despite their extensive use in the automotive and aerospace industries, Mg and Mg alloys, which are light metals, exhibit low fatigue and tensile strength. In this study, transition metal-nitride (TMN) multilayer coatings (Ti+TiN+Ti+TiVN) were coated twice on AZ91 Mg alloy using a Confined Field Unbalanced Magnetron Sputtering (CFUBMS) system to increase fatigue and tensile strength. The structural properties of the films were analyzed by using X-ray diffraction (XRD), scanning electron microscope (SEM), and energy dispersive spectrometry (EDS) methods, and the mechanical properties were analyzed by rotating bending fatigue and tensile testing machines. Ti+TiN+Ti+TiVN multilayer nitride surface coatings on AZ91 Mg alloys showed a dense and columnar microstructure and according to XRD results (111) was the preferred orientation with the dominant peak. The fatigue limit value of the AZ91 base material was fixed at 60.46 MPa, while it increased to 68.48 MPa after being coated with multilayer nitride. Along with the multilayer nitride coating, the tensile strength increased from 169.98 MPa to 175.43 MPa. As a result, the multilayer hard nitride coating with low surface roughness, which fills the defects, notches, and voids on the surface of the AZ91 base material, increased the fatigue and tensile strength in parallel. Based on the outcomes of the research, the literature has been enriched with an innovative approach through the enhancement of fatigue and tensile strengths by applying a CFUBMS coating to lightweight metals and alloys, such as AZ91, especially in the transportation industry where lightness and dynamic load resistance are essential.
AtıfScopus4WoS4OpenAlex2İncele - MakaleAçık Erişim2024Scopus SJRQ1Improving radio frequency heating uniformity in peanuts: Effects of packaging geometry, electrode gap, particle size and interlayer displacement process
Tasci, Caner; Liu, Shuxiang; Erdogdu, Ferruh; Ozturk, Samet
This study aimed to assess the impact of various processing parameters including electrode gap, packaging geometry, and particle size on the heating efficiency of radio frequency (RF) processing for peanut thermal decontamination. In addition, interlayer displacements were presented to evaluate the effect of the mixing on heating uniformity. Experimental studies were carried out using 3D-printed polylactic acid (PLA) containers (square, rectangular, and cylindrical) to place the peanut samples with particle sizes ranging from 0.71 to 2.00 mm at 100–140 mm electrode gaps. Temperature changes within the samples were monitored using fiber optic sensors and surface temperature distributions were determined with an infrared camera. Heating uniformity index (λ) was then calculated to assess the effects of RF processing conditions on RF heating uniformity. Results showed that the cylindrical container exhibited a more consistent and uniform heating profile (λ = 0.12) with 1.58 °C min−1 heating rate compared to other containers, and a single interlayer displacement between top and bottom layers further improved temperature distribution uniformity. Smaller particle sizes also led to faster heating rates from 1.71 to 1.55 °C min−1 with more uniform heating due to the reduced porosity within the particles with increased thermal conduction and electromagnetic energy absorption. This study presented valuable insights for developing an effective RF process as an alternative to conventional thermal treatments for decontamination of low-moisture, high-fat particulate foods. Industrial significance: This research presented an innovative approach applying RF heating for a possible decontamination process for peanut samples. The research tackled the growing worldwide consumer demand for food products to satisfy food safety regulations while peanuts were selected to demonstrate the process effect due to the recent food safety issues in peanut butter considering that a pre-process for decontamination would lead to a decrease in the resulting safety issues.
AtıfScopus21WoS20OpenAlex20İncele - MakaleAçık Erişim2024Scopus SJRQ1The Effect of Heat Treatment on the Mechanical Properties and Oxidation Resistance of AlSi10Mg Alloy
Beder, Murat; Akçay, Serhatcan Berk; Varol, Temel; Çuvalcı, Hamdullah
In this study, the microstructure, hardness, tensile strength, and dry wear properties of the cast AlSi10Mg alloy as well as the effects of processing parameters on the oxidation behavior of this alloy were investigated. In this context, AlSi10Mg (wt%) alloy was produced by gravity die casting method, and then, air cooling, quenching, and T6 treatment were applied. The microstructure of the alloy was investigated using an optical microscope, SEM, and EDS. Additionally, thermogravimetric analysis (TGA) was used to determine the effect of processing parameters on the oxidation behavior of the samples. The friction and wear properties of the alloy were investigated using a ball-on-disk wear test device. It was founded that the as-cast AlSi10Mg alloy's microstructure contained phases of α(Al), Si, and β-Mg2Si. It has been observed that the microstructure of the cast AlSi10Mg alloy gradually turns into a spherical form when quenching and air-cooling heat treatments are applied. Also, T6 heat treatment led to further spheroidization of Si particles, formation of β-Mg2Si precipitates, and elimination of the Chinese script morphology of the β-Mg2Si phase. It was observed that the yield strength of the AlSi10Mg alloy in the as-cast state decreased negligibly compared to the air-cooled state, while there was an increase of up to 70% in the aging-treated condition. The results show that the tensile strength of the as-cast AlSi10Mg alloy increased by 115% after aging. Additionally, it was found that the AlSi10Mg alloy's wear resistance increased with the aging process.
AtıfScopus29WoS25OpenAlex27İncele - 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.
AtıfScopus20WoS17OpenAlex21İncele - 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 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 - 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 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