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 SJRQ2Enterococcus durans SL70, a Novel Exopolysaccharide Producer from Traditional Sourdough Fermentation of Einkorn (Triticum monococcum L. ssp. monococcum)
Genc, Berna; Karatas, Seyda Merve; Tunç, Merve Tuğçe
Research background. Given the potential of microbial exopolysaccharides from lactic acid bacteria in various industrial processes, alternative sources for the isolation of lactic acid bacteria are highly topical. In this study, we used a traditional sourdough from einkorn (Triticum monococcum L. ssp. monococcum) as a source of lactic acid bacteria for the isolation, identification and determination of exopolysaccharide producers. Experimental approach. The sourdough was prepared from einkorn according to the traditional method. Lactic acid bacteria were isolated and purified using the single colony technique on MRS and M17 media. The isolates were characterised using matrix-assisted laser desorption ionization-time of flight mass (MALDI-TOF) spectrometry. All isolates were analysed for extracellular polysaccharide production and one isolate was selected for purification and characterisation of its polysaccharide. Results and conclusions. The isolates were identified as Lactobacillus plantarum, L. paraplantarum, L. brevis, Pediococcus pentosaceus, Enterococcus faecium and E. durans. The production of exopolysaccharides by all lactic acid bacteria was evaluated and it was found that all strains (except one) were capable of producing exopolysaccharides. One polysaccharide (EPS-SL70) was purified from the isolates of E. durans SL70. This anionic heteropolysaccharide had, in addition to the carbohydrate backbone, a protein structure that did not contain nucleic acid. The carbohydrate backbone consisted of mannose, glucose, rhamnose, arabinose, xylose and galactose. Novelty and scientific contribution. The microbial flora of traditional einkorn sourdough has been identified in this study and represents the first report on the exopolysaccharide production by lactic acid bacteria in traditional einkorn sourdough. Additionally, Enterococcus durans from einkorn sourdough was identified as a new exopolysaccharide producer.
AtıfScopus3WoS2OpenAlex4
İncele - MakaleYayıncıda açık erişim2024Scopus SJRQ1Public's social media use during the Kahramanmaraş earthquakes on 6 February 2023
Mızrak, Sefa
Social media facilitates crisis management and emergency response efforts by disseminating disaster information during disasters. Understanding the positive and negative contributions of social media to disaster management after devastating disasters will make social media more effective and efficient for crisis management in the future. The objective of this study was to investigate the public's social media use in the 15-day period after the earthquakes that occurred on February 6, 2023, in Türkiye. The study was designed both quantitatively and qualitatively. The data were collected from 1698 people residing in Türkiye via a survey method and analyzed via descriptive, ordinal logistic regression, and thematic analysis. The thoughts of 245 participants regarding social media use were analyzed qualitatively. The results showed that social media was employed as a powerful resource for sharing information after the earthquakes. The participants used Instagram the most and followed the social media accounts of the institutions the most. Posting the physical and psychological damage of earthquakes and humanitarian aid negatively affected the participants and caused them to think that social media was useless. Due to the information shared by social media phenomena and nongovernmental organizations, the participants stated that social media was useful after the earthquakes. For people to share posts that will contribute to search and rescue, aid and damage assessment on reliable and high-follower social media accounts, disaster managers, scientists and policy makers should understand communities' usage intentions, satisfaction and criticism regarding social media accounts and platforms during previous disasters.
AtıfScopus15WoS13OpenAlex20İncele - MakaleAçık Erişim2024Scopus SJRQ1Prediction of effect of fabrication parameters on the properties of B4C ceramic particle reinforced AA2024 matrix nanocomposites using neural networks
Varol, Temel; Çanakçı, Aykut; Özşahin, Şükrü; Beder, Murat; Akçay, Serhatcan Berk
In the present study, a prediction model was created to predict the impact of B4C content, milling time and matrix size on the hardness and density of AA2024-B4C nanocomposites produced by means of flake powder metallurgy. The process involved synthesizing AA2024-B4C nanocomposite powders by mechanical milling followed by preparing nanocomposites by hot pressing. The matrix size of the AA2024 alloy powders, the milling time, and the B4C content were selected as the input parameters. On the other hand, the density and the hardness of the AA2024-B4C nanocomposites were designed as the output parameters. The results showed that the sintered density is significantly improved by decreasing matrix size. It was found that density of AA2024–3 wt%B4C nanocomposites is lower than AA2024–1 wt%B4C nanocomposites. However, the hardness of AA2024–3 wt%B4C nanocomposites is better than AA2024–1 wt%B4C nanocomposites. The AA2024-B4C nanocomposite prediction model could predict hardness and density with a mean absolute percentage error (MAPE) of 0.32% and 1.38%. The results show that the ANN model is a useful tool for the matrix size effect prediction, milling time and B4C content on the density and hardness of AA2024-B4C nanocomposites prepared by flake powder metallurgy.
AtıfScopus6WoS5OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ1In-plane crushing behavior and energy absorption of CFRP honeycombs with different core topologies
Pehlivan, Levent; Baykasoğlu, Cengiz
The in-plane crushing behavior and energy absorption performance of carbon fiber reinforced polymer (CFRP) honeycombs with different core topologies were experimentally investigated under uniaxial loading conditions. Three types of CFRP honeycomb core topologies (i.e. circular, square and hexagonal) with different cell wall thicknesses and heights were considered in the designs. The honeycomb samples were fabricated by the molding and bonding process, which is widely used in the easy, fast and economical manufacturing of thin-walled honeycomb structures. A total of twenty-seven sample groups were experimentally tested for each loading condition, in which honeycomb samples with different core topologies were designed to have almost the same weights for a meaningful comparison. The experimental results revealed that all honeycomb designs have higher in-plane compression strength in the expansion direction, and hexagonal honeycombs showed the highest strength and energy absorption performance in both directions due to their stable load-carrying capacity and outstanding force efficiency. In particular, the experimental findings showed that the crushing strength and the specific energy absorption of CFRP honeycomb structures can be improved up to 6.1 and 4.2 times, respectively, by properly adjusting the cell wall thickness and height parameters. The results also revealed that the proposed lightweight CFRP honeycombs with the structural densities of 155–283 kg/m3 showed better in-plane crushing performance than many competing cellular topologies.
AtıfScopus27WoS26OpenAlex28İncele - MakaleAçık Erişim2024Humanitarian Ecology in Islamic Law: Balancing Human Needs and Environmental Preservation in Islamic Law
Karimullah, Suud Sarim
This study has a comprehensive objective of understanding the practical implications of environmental protection within the framework of Islamic law, taking into account the balance of human needs and ecological preservation. The method used is library research with literature analysis through synthesis and integration of information from various relevant sources, such as books, scientific articles, and other documents related to the research topic. The findings of the study show that environmental protection in the framework of Islamic law not only provides a solid moral and ethical foundation but also challenges the conventional paradigm in natural resource management by offering a holistic approach that integrates spiritual, social, and ecological values. Through maqasid al-sharia, environmental protection becomes an integral part of the objectives of sharia, namely preserving life (hifz al-nafs) and ecological sustainability (hifz al-biāh) by providing ethical guidance to prevent overexploitation while encouraging sustainable innovation. Thus, Islamic law not only responds to the challenges of the global environmental crisis but also offers a model of sustainability that brings together spiritual, ethical, and practical values in creating harmony between human needs and the preservation of nature, making it relevant as a strategic solution for the modern world.
AtıfScopus5OpenAlex4İncele - MakaleAçık Erişim2024Scopus SJRQ1The impact of implementing backbone architectures on fracture segmentation in X-ray images
Turk, Salih; Bingol, Ozkan; Coskuncay, Ahmet; Aydin, Tolga
X-ray imaging is widely utilized for the detection of bone fractures due to its affordability, rapid processing capabilities, broad accessibility, and ease of use. Despite these advantages, the intricate analysis of X-ray images necessitates advanced computational techniques to fully exploit their rich informational content. Notably, accurate segmentation of these images plays a critical role in aiding medical professionals with precise diagnoses and effective treatment planning. This study examines the impact of integrating different backbone architectures for the task of fracture segmentation in X-ray images. Specifically, the research focuses on enhancing the widely-used DeepLabV3 model by incorporating pre-trained networks such as ResNet50, ResNet101, and MobileNetV3 into the encoder component to improve feature extraction and segmentation accuracy. The FracAtlas dataset, which presents unique challenges due to its small size and the diversity of fractures from various anatomical regions, was employed for model evaluation. Data augmentation techniques were implemented to expand the dataset, and an additional subset focusing on cropped images of fracture areas was developed. The models were trained over 50 epochs, and their performance was assessed using metrics such as Intersection over Union (IoU), loss values, and Dice scores. The results indicate that the DeepLabV3 model with ResNet-based backbones achieved IoU values exceeding 0.93 on the original dataset and demonstrated outstanding performance on the augmented and cropped datasets, with AUC values reaching up to 0.99. The study also highlights the computational complexity of the models, with ResNet101 exhibiting the highest time complexity, while MobileNetV3 was the most efficient in terms of processing time and memory consumption.
AtıfScopus8WoS6OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ2Optimizing Advanced High-Strength Steel Joints via Regional Rapid Cooling in Resistance Spot Welding
Hıdıroglu, Mehtap; Aydın, Kemal; Kahraman, Nizamettin
During resistance spot welding (RSW), the thermal cycles that occur cause microstructural differentiations in the heat-affected zones of martensitic steels, leading to internal stresses. In this context, a new and innovative methodology has been developed to minimize the adverse effects of heterogeneous hardness changes in the welding area on joint durability. This methodology utilizes a unique prototype setup based on the regional rapid cooling (RRC) process, which is integrated into the welding machine and operates in synchronization with the machine during the process. Through this setup, the aim is to effectively control the microstructure and hardness values in the welding area. This innovative approach presents potential improvements in the field of welding technology by aiming to optimize material performance during the welding process. According to microstructure results, the RRC process has narrowed the heat-affected zone to 1.27 mm, increased the hardness values by 9.2%, showed a 3% increase in tensile-shear strength, a 9% increase in cross-tension strength, and based on fatigue strength results, no fractures occurred in all specimens subjected to a force of 0.3 kN.
AtıfScopus4WoS3OpenAlex4İncele - MakaleAçık Erişim2024Scopus SJRQ2Innovations in dairy technology: probiotics in Turkish white cheese production
Mazlum, Halit; Atasever, Mustafa
Cheese offers significant advantages as a probiotic carrier food compared to fermented milk and yoğurt due to its fat content, solid matrix, higher pH, low oxygen levels, and longer shelf life. This study examined Turkish white cheeses ripened with both classical starter culture (Lactococcus lactis subsp. lactis and Lactococcus lactis subsp. cremoris) and various probiotic cultures (Lactobacillus acidophilus, Lactobacillus casei, Lactobacillus paracasei, and Bifidobacterium bifidum). The quality and functional properties of these cheeses were investigated to evaluate the effect of adding probiotics to traditional starter culture and their potential for use as carrier food for probiotics. During the 90-days ripening period, the numbers of L. acidophilus, L. casei, L. paracasei, and B. bifidum were determined to be in the range of 8.09 ± 0.34–8.65 ± 0.30, 7.19 ± 0.28–8.12 ± 0.90, 7.01 ± 1.45–8.73 ± 0.98, and 7.16 ± 1.10–8.21 ± 1.19 log cfu/g, respectively. The study found that probiotic levels in the cheese remained above the effective threshold (≥ 107 cfu/g) throughout the ripening process. This was accompanied by an increase in water-soluble nitrogen, an indicator of proteolysis, leading to higher ripening index values in all cheese samples. In terms of sensory evaluation, cheeses with L. acidophilus and L. paracasei were particularly well-received, scoring higher (7.90 ± 0.30–8.47 ± 0.12, 7.80 ± 0.34–8.75 ± 0.12, respectively) in taste and aroma than the others. Overall, probiotics positively influenced the quality and functional properties of the white cheese. Notably, the L. casei ATCC 393 strain, used for the first time in Turkish white cheese production, proved highly compatible with existing production technologies. It was concluded from the study that Turkish white cheese is a suitable food for transporting probiotics to the intestinal environment.
AtıfScopus5WoS5OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ1Different gait combinations based on multi-modal deep CNN architectures
Yaprak, Büşranur; Gedikli, Eyüp
Gait recognition is the process of identifying a person from a distance based on their walking patterns. However, the recognition rate drops significantly under cross-view angle and appearance-based variations. In this study, the effectiveness of the most well-known gait representations in solving this problem is investigated based on deep learning. For this purpose, a comprehensive performance evaluation is performed by combining different modalities, including silhouettes, optical flows, and concatenated image of the Gait Energy Image (GEI) head and leg region, with GEI itself. This evaluation is carried out across different multimodal deep convolutional neural network (CNN) architectures, namely fine-tuned EfficientNet-B0, MobileNet-V1, and ConvNeXt-base models. These models are trained separately on GEIs, silhouettes, optical flows, and concatenated image of GEI head and leg regions, and then extracted GEI features are fused in pairs with other extracted modality features to find the most effective gait combination. Experimental results on the two different datasets CASIA-B and Outdoor-Gait show that the concatenated image of GEI head and leg regions significantly increased the recognition rate of the networks compared to other modalities. Moreover, this modality demonstrates greater robustness under varied carrying (BG) and clothing (CL) conditions compared to optical flows (OF) and silhouettes (SF). Codes available at https://github.com/busrakckugurlu/Different-gait-combinations-based-on-multi-modal-deep-CNN-architectures.git
AtıfScopus4WoS3OpenAlex4İncele - MakaleAçık Erişim2024Scopus SJRQ4EVALUATION OF UNMET HEALTH NEEDS IN EUROPEAN UNION COUNTRIES: 2020-2021; [Évaluation des besoins de santé non satisfaits dans les pays de l’Union européenne: 2020-2021]
Köse, Aslı
The objective of the study. This study aimed to evaluate the effect of unmet health needs in European Union countries on Healthy Life Expectancy in 2020-2021 and determine the grouping of countries in this period. Material and methods. The study used unmet health needs data from the Eurostat database. Two models were created by path analysis using structural equation modeling. The impact of unmet health needs on life expectancy in 2020-2021 was evaluated. The cluster analysis grouped the European Union countries according to their unmet health needs. Results. The primary factor with the highest average contributing to unmet health needs in 2020-2021 was the absence of a requirement to report health issues. Among the reasons for postponing health needs in 2020-2021, the criterion of “absence of specialists” was determined to be the criterion with the lowest average. According to the cluster analysis, the most similar countries are the Netherlands and Austria, Albania and Serbia, while the least similar are Bulgaria and Belgium, Estonia and Belgium. Conclusions. During the pandemic, individuals gave up receiving health services due to their fear of catching COVID-19. It has been determined that unmet health needs did not affect life expectancy for 2020. In 2021, there was a statistically significant relationship between the “no need to report” unmet health need criterion and Healthy Life Year Expectancy. This study determined the “expensive, remote and transportation” criterion, which has the second highest average among the reasons for unmet health needs.
AtıfScopus2OpenAlex1İncele - Derleme MakaleYayıncıda açık erişim2024Scopus SJRQ2An overview memristor based hardware accelerators for deep neural network
Gökgöz, Baki; Gül, Fatih; Aydın, Tolga
The prevalence of artificial intelligence applications using artificial neural network architectures for functions such as natural language processing, text prediction, object detection, speech, and image recognition has significantly increased in today's world. The computational functions performed by artificial neural networks in classical applications require intensive and large-scale data movement between memory and processing units. Various software and hardware efforts are being made to perform these operations more efficiently. Despite these efforts, latency in data traffic and the substantial amount of energy consumed in data processing emerge as bottleneck disadvantages of the Von Neumann architecture. To overcome this bottleneck problem, it is necessary to develop hardware units specific to artificial intelligence applications. For this purpose, neuro-inspired computing chips are believed to provide an effective approach by designing and integrating a set of features inspired by neurobiological systems at the hardware level to address the problems arising in artificial intelligence applications. The most notable among these approaches is memristor-based neuromorphic computing systems. Memristors are seen as promising devices for hardware-level improvement in terms of speed and energy because they possess non-volatile memory and exhibit analog behavior. They enable effective storage and processing of synaptic weights, offering solutions for hardware-level development. Taking into account these advantages of memristors, this study examines the research conducted on artificial neural networks and hardware that can directly perform deep learning functions and mimic the biological brain, which is different from classical systems in today's context.
AtıfScopus16WoS13OpenAlex16İncele - MakaleAçık Erişim2024Investigation of aroma components obtained by HS-SPME (Headspace-solid phase microextraction) method of wild strawberry (Fragaria vesca L.) and strawberry (Fragaria x ananassa Duch.) fruits; [Dağ çileği (Fragaria vesca L.) ve çilek (Fragaria x ananassa Duch.) meyvelerinin HS-SPME (Tepe boşluğu katı faz mikro ekstraksiyonu) yöntemi ile elde edilen aroma bileşenlerin araştırılması]
Öz, Mehmet; Baltaci, Cemalettin; Fidan, Muhammed Said
Wild strawberries (Fragaria vesca) are in the category of non-wood forest products due to their unique fragrance, aroma, and natural ability to grow. In this study, aroma components of wild strawberry (Fragaria vesca) and strawberry (Fragaria x ananassa) fruits were determined by Headspace-Solid Phase Micro-Extraction technique combined with Gas Chromatography-Mass Spectrometry (HS-SPME/GC-MS). In addition, it aimed to compare the results of both fruits with each other by chemical classification of the aroma components determined from wild strawberry and strawberry fruits. As a result of the HS-SPME/GC-MS analysis; 50 and 76 aroma components were determined in wild strawberry and strawberry fruits, respectively. The structure of aroma components was defined as 97.63% of wild strawberries and 98.26% of strawberries. The main components in the aroma compounds are 2-undecanone (10.38%), γ-decalactone (8.81%), and eugenol (7.14%) in wild strawberry fruit; nerolidol (29.44%), γ-decalactone (26.36%) and bisabolol oxide II (4.23%) were found in strawberry fruits. In addition, chemical classes of identified aroma compounds were determined as ester, terpene or terpenoid, fatty acids, aldehyde, and ketone classes in Fragaria vesca and Fragaria x ananassa fruits. When the results are examined, it is seen that strawberry fruits are found to be higher than wild strawberry fruits in terms of percentage of aroma components, number of aroma components, and percentage of dominant components.
AtıfScopus2
İncele - MakaleAçık Erişim2024Scopus SJRQ1Enhancing the performance of parabolic trough solar collectors: Cost-effective innovative designs for sustainable energy harvesting
Karaağaç, Mehmet Onur; Akıncı, Burak; Ergün, Alper
This study aims to improve the performance and stability of parabolic trough solar collectors (PTSC), especially those with heat storage capacity. Three different receiver tube designs have been meticulously developed to achieve this goal. As a result of the research, the Black surface (BS) -PTSC and PTSC- Paraffin wax (PW) systems achieved 26.5% and 56.8% more thermal energy flow, respectively, compared to the conventional PTSC. In addition, while the average thermal efficiencies of the PTSC, BS-PTSC, and PTSC-PW systems were found to be 11.2%, 14.1%, and 16.9%, respectively, the average exergy efficiencies of the PTSC, BS-PTSC, and PTSC-PW were 1.4%, 1.9%, and 2.3%. Painting the black copper pipe and filling the receiver tube with paraffin wax PCM increased thermal and exergy efficiency. Besides, comparing the temperature differences based on the PTSC system, it was found that BS-PTSC and PTSC-PW systems have 12.3% and 16.4% higher tank temperatures, respectively. The findings of this research have demonstrated the potential of parabolic trough solar collectors equipped with heat storage. It has also increased the sustainability index in terms of sustainability and reduced CO2 emissions into the atmosphere. Furthermore, it has been shown that these simple and inexpensive designs, without significant modifications to the system, can achieve high thermal performance without unnecessary expensive components.
AtıfScopus23WoS20OpenAlex24İncele - MakaleAçık Erişim2024Scopus SJRQ2Corrosion and adhesion properties of MAO-coated LA91 magnesium alloy
Sukuroglu, Suleyman; Sukuroglu, Ebru Emine; Totik, Yasar; Gulten, Gokhan; Efeoglu, Ihsan; Avci, Selcuk
Magnesium–lithium alloy is used in different areas of industry and is known as a super light metallic engineering material. However, the use of these alloys is limited due to their surface properties under extreme loads and aggressive environments. Surface treatments can be applied to these alloys to increase their usage areas and improve their weak surface properties. In this study, the micro-arc oxidation method was applied to improve the surface properties of LA91 alloy. The corrosion and adhesion behaviour of the coated samples were investigated. The lowest corrosion current density in the coatings was obtained under Experiment 3. Experiment 3 has the highest Lc2 value due to the coating thickness and the denser and smaller diameter pores of the functional intermediate layer.
AtıfScopus15WoS14OpenAlex16İncele - MakaleAçık Erişim2024Scopus SJRQ1Accuracy assessment of UAV-based documentation of archaeological site: Kültepe-Kaneš
Günen, Mehmet Akif; Kulakoğlu, Fikri; Besdok, Erkan
High quality 2D/3D metric documentation of archaeological sites is used in many different applications such as archaeological-heritage management, digital archaeological excavation planning, orthophotographic documentation, and ancient Digital Surfaces Models (DSM) research. Structure-from-Motion based photogrammetry (SfM) is an indirect geodesic measurement technique based on multiple view image processing using high-level automation techniques. Using SfM to generate the high accuracy 2D/3D data needed for digital documentation of archaeological cultural heritage is relatively practical, economical, and fast. Factors such as the number of ground control points and their distribution to the study area, the robustness of the camera system model parameters, and the analytical model of the photogrammetric triangulation method used affect the accuracy of the data produced using SfM-photogrammetry. Kültepe-Kaneš, the center of the ancient Kingdom of Kaneš, which is located in central-Anatolia, was an Assyrian Trade Colony active between ca. 2000 BC and 1700 BC. The site, which was the center of the Old Assyrian trade colonies in Anatolia and one of the most important sites in ancient history, has been under excavation for the last 75 years. In this paper, high accuracy digital documentation of the Kültepe-Kaneš archaeological excavation area was made using different SfM methods. Statistical analysis revealed no significant difference in accuracy between Real-Time Kinematic (RTK) and Post-Process Kinematic (PPK) methods for the study area. This suggests that either PPK, RTK, or aerial triangulation with Ground Control Points (GCPs) can be employed to generate orthophotos and DSMs for archaeological sites with relatively flat surface areas, as long as a sufficient number of uniformly distributed GCPs are used.
AtıfScopus10WoS8OpenAlex5İncele - MakaleYalnız künye2024Scopus SJRQ2The effect of a serious game-based web application on stoma care education for nursing students: A randomized controlled trial
Kulakaç, Nurşen; Çilingir, Dilek
Aim: This study was carried out in a randomized controlled manner to determine the effect of a serious game based web application on stoma care education for nursing students. Method: The learning styles and digital game motivation levels of the students in the study were determined, and aprior knowledge test was performed. While the website of the serious game-based application was open to the access of the intervention group for two weeks, no intervention was made for the control group. Second knowledge and skil lmeasurements were performed after two weeks for all students in the study, and evaluations of retention were performed four weekslater. Findings: The analyses revealed that the second and retention stoma care and colostomy irrigation knowledge test and skill scores of the intervention group were significantly higher than those of the control group (p<0.05). Conclusion: As the students' time to use the serious game increased, their knowledge tests and skill scores also increased significantly. Therefore, it was concluded that serious game technology had a positive effect on teaching nursing students the practice of stoma care.
AtıfScopus18WoS14OpenAlex21İncele - MakaleAçık Erişim2024Scopus SJRQ2Convergence and data dependence results of the nonlinear Volterra integral equation by the Picard's three step iteration
Cona, Lale
Picard's three step iteration algorithm was one of the iteration algorithms that was recently shown to be faster than some other iterative algorithms in the existing literature. The purpose of this paper was to study using this iteration algorithm for the solution of nonlinear Volterra integral equations. It was investigated that the sequences obtained from this iteration algorithm converged to the solution of nonlinear Volterra integral equations. Moreover, data dependence was obtained for nonlinear Volterra integral equations. An example was given that confirmed the applicability of the newly proven theorems.
AtıfWoS1OpenAlex1İncele - MakaleAçık Erişim2024Scopus SJRQ1Evaluation of microbiological, antioxidant, thermal, rheological and sensory properties of ice cream fermented with kefir culture and flavored with mint (Menthaspicata L.)
Öztürk-Yalçın, Feyza; Ürkek, Bayram; Şengül, Mustafa
Kefir is a healthy fermented dairy product, while ice cream is one of the most consumed dairy products. In this research, ice cream was fermented using a commercial kefir culture and flavored with a mint aroma in different proportions: 0% (KI), 0.2% (KIM2), 0.4% (KIM4), and 0.6% (KIM6). The study investigated the microbiological, thermal, rheological, textural, compositional, and sensory properties as well as antioxidant activity of kefir ice cream samples during 45-day storage. The lactic bacilli, lactic cocci, and Leuconostoc counts of samples were >7 log CFU/g, while the yeast counts were <4 log CFU/g. The microbiological properties (except for yeast counts) of the samples were coherent with legal limits. Antioxidant values (except for samples KIM2 and KIM6) values did not indicate significant differences (p <.05). The pH and melting rate values of the samples decreased with the addition of mint flavor, while acidity values increased. The addition of mint aroma caused significant changes in the thermal properties of ice cream. The overrun, a*, WI, and hardness values of the samples decreased based on the mint flavor concentration, whereas the viscosity and rheological increased. Samples KI and KIM2 were scored higher than other samples for all sensory properties. As a result, fermented ice cream flavored (0.2% mint) with mint could be produced as a desirable dairy product with potential functional properties.
AtıfScopus8WoS6OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ4STRATEGIC FLASHPOINTS: NATO’S CONTAINMENT OF RUSSIA IN THE BLACK SEA AND ARCTIC REGIONS; [Puncte fierbinți strategice: îngrădirea Rusiei de către NATO în zona Mării Negre și în regiunea arctică]
Aksoy, Metin; Limon, Onur; Limon, Elif Gürdal
This study examines the strategic significance of NATO’s containment policy in the Black Sea and Arctic regions and its impact on Russia’s geopolitical and military responses. These areas, once peripheral to play only a minor role in global security dynamics, have become critical flashpoints because of NATO enlargement and increasing Russian aggression. By applying George Kennan’s containment theory to NATO’s post-Cold War strategy, this study examines how NATO’s actions have contributed to the escalation of tensions in these regions. The analysis addresses the challenges and risks NATO faces in maintaining its containment approach and offers insights into the future relationship between NATO and Russia.
- MakaleAçık Erişim2024Scopus SJRQ1Performance of differently arranged double-tuned mass dampers for structural seismic response control including soil-structure interaction
Araz, Onur; Elias, Said
Reducing vibrations occurring in structures under environmental loads makes a significant contribution to the development of structural safety. Tuned mass dampers (TMD) are one of the systems commonly used to control structural vibrations. Since TMD is adjusted according to the dominant frequency of the structure, factors that may cause changes in the frequency of the structure can significantly reduce the effectiveness of TMD. One of the main factors that can cause changes in the frequency values of the structure is the interaction between the structure and the soil. To overcome this situation, it is recommended to apply control systems consisting of multiple TMDs (MTMD) to the main structure instead of a single TMD. MTMD systems are arranged in two different types, serial and parallel. In this paper, a methodology that considers the structure-soil interaction (SSI) is presented for the optimum design of control systems with different configurations placed on a main structure under the influence of ground motion. To research the SSI effects, the TMDs-structure coupled system is supported by rocking and swaying springs and the corresponding dashpots, and then the equations of motions of the structural system are derived. In the optimization process based on particle swarm optimization in the frequency domain, different soil types, configuration types, and mass ratios are considered. The efficiency of optimum TMDs arranged in series and parallel is also evaluated using near and far fault ground motions in the time domain. Numerical results show that if structures are constructed on soils with low shear wave velocities, ignoring SSI can significantly change the design parameters and effectiveness of the control system.
AtıfScopus34WoS30OpenAlex32İncele