PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collections

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Adaptation and Validation of the Post-Pandemic Health Promotion Behavior of Young Adults in the Digital Age (ps-Sgd) Scale in the Turkish Population
(MDPI, 2024) Koç, Mustafa Can; Yıldırım, Elif; Özdurak Singin, Rabia Hürrem; Talaghir, Laurentiu-Gabriel; Iconomescu, Teodora Mihaela; Karakaş, Neşe
Background: Young adulthood is a critical developmental period in which individuals establish life-long health behaviors and take responsibility for their own health care. Health promotion strategies tailored to young adults, leveraging digital tools, and addressing challenges exacerbated by events like the COVID-19 pandemic are needed. The aim of this study was to adapt the post-pandemic health promotion behavior of young adults in the digital age (PS-SGD) scale to the Turkish population in order to assess and compare the health behavior of young adults after the pandemic. Methods: A total of 312 participants, aged between 19 and 29 years, were included in the study via non-probabilistic criterion sampling, while the Turkish adaptation process started with translation and back translation methods performed with three language and two health science experts. For statistical analysis, EFA and CFA were conducted to evaluate internal consistency and structural validity. Confirmatory factor analysis was utilized to confirm the structure of the six sub-dimensions. Additionally, measurement invariance was examined regarding participants' gender to determine if the scale accurately captured similar traits across diverse groups. The relationship between the test-retest data was tested by Pearson correlation to measure consistency and its invariance over time. Results: The gender distribution of the sample was found to be 61.3% female and 38.7% male. According to the results of EFA, items 8 and 18 were removed from the Turkish-adapted version. As a result of the reliability analysis conducted with the Turkish version of the scale, the Cronbach alpha coefficient was obtained as 0.851 for the post-pandemic health promotion behavior. Additionally, the scale was rated as reliable with the following Cronbach alpha values: 0.79 for the personal hygiene, 0.78 for dietary habits, 0.72 for using mobile devices, 0.70 for emotional health, 0.68 for health care and physical activity, and 0.51 for social health sub-dimensions. To examine the six sub-dimension factor structures of the scale, fit indices were calculated as chi 2/df (1.722), GFI (0.894), IFI (0.908), TLI (0.892), CFI (0.907), RMSEA (0.048), and SRMR (0.057) and were within acceptable limits. Findings of the multi-group confirmatory factor analysis for measurement invariance were less than or equal to 0.01 for the triangle CFI and triangle RMSEA values across all indices. Consequently, it was observed that the item-factor structure, factor loadings, variances, covariances, and error variances of the scale were equivalent for both male and female young adults, while test-retest results showed a high positive correlation. Conclusions: The Turkish version of the post-pandemic health promotion behavior scale of young adults in the digital age scale, consisting of 25 items and six subscales, was proven to be a valid and reliable tool to measure health promotion behavior in young adults aged 19-29 years.
Citation - WoS: 2
Citation - Scopus: 3
Alternative Green Application Areas for Olive Pomace Catalytic Pyrolysis Biochar Obtained Via Marble Sludge Catalyst
(Springer, 2024) Göktepeli, Gamze; Özgan, Afra; Önen, Vildan; Ahmetli, Gülnare; Kalem, Merve; Yel, Esra
Evaluating industrial wastes in the system with minimum preprocessing and generation economically valuable products from them have critical importance. In this regard, especially cheap, wieldy, and readily available catalysts have been researched to increase variety of useful products in pyrolysis systems, to reduce process time, and to increase quality and diversity of products. Therefore, in this study, marble sludge (named K1) was evaluated as catalyst at different dosages (10%, 20%, 30%, 50%) and pyrolysis temperatures (300, 500, 700 degrees C) in olive pomace (OP) pyrolysis and; the potential green applications of produced new biochars at new usage areas with different purposes based on characteristics were investigated. ANOVA test results showed that temperature and catalysts ratio had significant effect on pyrolysis product yields since significance value for K1 and temperature was lower than 0.05 for pyrolysis products. OP-K1 biochars had alkaline properties and high earth metal quantities. Moreover, increment in K1 ratio and temperature resulted in decrement of the biochar surface acidity. Therefore, it can be indicated that these biochars can have a potential usage for anaerobic digestion processes, lithium-ion batteries, and direct carbon solid oxide fuel cell (DC-SOFC) but further electrochemical property test should be performed. Moreover, produced biochars can be alternative fuels in some processes instead of coal since they have low S content and high heat values. Consequently, it is foreseen that produced biochars will have an important place in the development of potential usage areas with a new and environmentally friendly approach in different areas apart from the conventional uses of catalytic pyrolysis chars.
Citation - WoS: 26
Citation - Scopus: 26
Analysis of Land Use/Land Cover Changes and Prediction of Future Changes With Land Change Modeler: Case of Belek, Turkey
(Springer, 2023) Akdeniz, Halil Burak; Serdaroğlu Sağ, Neslihan; İnam, Şaban
In the areas declared to be a tourism center by state planning, a rapid tourism-related development occurs depending on the investments in tourism, which causes a dramatic land use/land cover (LULC) change. Determining, monitoring, and modeling of LULC changes are required in order to ensure the conservation-use balance and sustainability within such vulnerable areas that are under development pressure. This study consists of four steps. In the first step, the Landsat images dated 1985, 2000, 2010, and 2021 were classified using the maximum likelihood method and the LULC of Belek Tourism Center located in Turkey were determined. The second step included the identification of areal and spatial changes between the LULC classes for the four periods. In the third step, the LULC changes in Belek Tourism Center for 2040 were modeled using the land change modeler. Last step evaluated the relationship between the modeled spatial development pattern and the current planning decisions. According to the results obtained during 36 years, the rates of built-up, forest, and water body areas have increased by 11.91%, 13.67%, and 0.82%, respectively, whereas the rates of barren land and agricultural areas have reduced by 22.25% and 4.15%, respectively. The LULC map modeled for 2040 predicts the built-up areas to expand by 8.25% and the agricultural areas to shrink by 5.42% by comparison with 2021. This study will contribute as a key measure for planners, policy-, and decision-makers to make decisions related to sustainable land use in the areas declared to be a tourism center.
Citation - WoS: 52
Citation - Scopus: 62
Analytical Review of Geopolymer Concrete: Retrospective and Current Issues
(MDPI, 2023) Meskhi, Besarion; Beskopylny, Alexey N.; Stel'makh, Sergey A.; Shcherban, Evgenii M.; Mailyan, Levon R.; Shilov, Alexander A.; El’shaeva, Diana; Shilova, Karolina; Karalar, Memduh; Aksoylu, Ceyhun; Özkılıç, Yasin Onuralp
The concept of sustainable development provides for the search for environmentally friendly alternatives to traditional materials and technologies that would reduce the amount of CO2 emissions into the atmosphere, do not pollute the environment, and reduce energy costs and the cost of production processes. These technologies include the production of geopolymer concretes. The purpose of the study was a detailed in-depth analytical review of studies of the processes of structure formation and properties of geopolymer concretes in retrospect and the current state of the issue. Geopolymer concrete is a suitable, environmentally friendly and sustainable alternative to concrete based on ordinary Portland cement (OPC) with higher strength and deformation properties due to its more stable and denser aluminosilicate spatial microstructure. The properties and durability of geopolymer concretes depend on the composition of the mixture and the proportions of its components. A review of the mechanisms of structure formation, the main directions for the selection of compositions and processes of polymerization of geopolymer concretes has been made. The technologies of combined selection of the composition of geopolymer concrete, production of nanomodified geopolymer concrete, 3D printing of building structures from geopolymer concrete, and monitoring the state of structures using self-sensitive geopolymer concrete are considered. Geopolymer concrete with the optimal ratio of activator and binder has the best properties. Geopolymer concretes with partial replacement of OPC with aluminosilicate binder have a denser and more compact microstructure due to the formation of a large amount of calcium silicate hydrate, which provides improved strength, durability, less shrinkage, porosity and water absorption. An assessment of the potential reduction in greenhouse gas emissions from the production of geopolymer concrete compared to the production of OPC has been made. The potential of using geopolymer concretes in construction practice is assessed in detail.
Citation - WoS: 11
Citation - Scopus: 19
Artificial Intelligence in Healthcare Competition (teknofest-2021): Stroke Data Set
(AVES, 2022) Koç, U.; Sezer, E.A.; Özkaya, Y.A.; Yarbay, Y.; Taydaş, O.; Ayyıldız, V.A.; Bahadır, Murat
Objective: The artificial intelligence competition in healthcare was organized for the first time at the annual aviation, space, and technology festival (TEKNOFEST), Istanbul/Türkiye, in September 2021. In this article, the data set preparation and competition processes were explained in detail; the anonymized and annotated data set is also provided via official website for further research. Materials and Methods: Data set recorded over the period covering 2019 and 2020 were centrally screened from the e-Pulse and Teleradiology System of the Republic of Türkiye, Ministry of Health using various codes and filtering criteria. The data set was anonymized. The data set was prepared, pooled, curated, and annotated by 7 radiologists. The training data set was shared with the teams via a dedicated file transfer protocol server, which could be accessed using private usernames and passwords given to the teams under a non-disclosure agreement signed by the representative of each team. Results: The competition consisted of 2 stages. In the first stage, teams were given 192 digital imaging and communications in medicine images that belong to 1 of 3 possible categories namely, hemorrhage, ischemic, or non-stroke. Teams were asked to classify each image as either stroke present or absent. In the second stage of the competition, qualifying 36 teams were given 97 digital imaging and communications in medicine images that contained hemorrhage, ischemia, or both lesions. Among the employed methods, Unet and DeepLabv3 were the most frequently observed ones. Conclusion: Artificial intelligence competitions in healthcare offer good opportunities to collect data reflect-ing various cases and problems. Especially, annotated data set by domain experts is more valuable. © 2022, AVES. All rights reserved.
Assessment of Accumulation, Spatial Distribution and Sources of Potentially Toxic Elements (PTEs) in Sediments of a Saline Lake
(Taylor & Francis Inc, 2025) Huseyinca, Mehmet Yavuz; Kupeli, Suayip
Potentially Toxic Elements (PTEs) are hazardous for human and ecosystem health due to their non-biodegradable nature. In this study we investigated the concentrations of PTEs, including As, Co, Cr, Cu, Mn, Mo, Ni, Pb and V in sediments of Lake Tuz around the salt pans for possible contamination. Lake Tuz is a shallow saline lake where halite (table salt) production is carried out in the salt pans and has significant geo and eco-tourism potential due to its unique ecosystem and natural beauty. The extent of pollution level and ecological risk were evaluated by geochemical indices and guideline values. According to the Geoaccumulation Index (Igeo), Enrichment Factor (EF) and Contamination Factor (Cf) indices Cr, Mo, As and occasionally Ni accumulated in moderate to strong levels. Intensity maps of Pollution Load Index (PLI) and Modified Degree of Contamination (mCdeg) indicated pollution hotspots in the neck region and in the eastern shore of the lake respectively. The Potential Ecological Risk Index (PERI) values indicated low and moderate levels of ecological risk. Statistical analyses including Pearson Correlation Coefficient (PCC), Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA) suggested that Co, Cr, Cu, Mn, Mo, Ni and V are of geogenic origin and As and Pb are of anthropogenic origin. Provenance analysis suggested that host rocks for geogenic PTEs were granodiorites and ophiolites situated in the catchment area of the lake. Anthropogenic PTEs were most likely related to agrochemicals used in surrounding farmlands.
The Association of Food Rejection Behaviours in Preschool Children With Compliance to the Mediterranean Diet and Their Quality of Life: A Cross-Sectional Analysis
(Cambridge Univ Press, 2025) Demir, Gulperi; Kudret, Meltem; Demir, Rabia Sena; Bagci, Sumeyya; Yildirim, Elif
Food refusal behaviours in preschool children can significantly impact their nutritional status and overall quality of life. This study investigated the relationship between food refusal behaviours, compliance with the Mediterranean diet and quality of life in preschool children. Conducted as a cross-sectional study, it included 400 children aged 4-6 years and their parents. The Child Food Rejection Scale measured food refusal behaviours, The Children's Mediterranean Diet Quality Scale (KIDMED) assessed compliance with the Mediterranean Diet and the Children Quality of Life-Questionnaire (Kiddy-KINDL) scale evaluated quality of life. The mean age of the children was 480 (sd 071) years. According to age-based BMI-Z scores, 710 % were normal, 155 % underweight, 90 % slightly overweight and 45 % obese. Parents' average age was 3465 (SD 535) years; 968 % were married, 888 % had a nuclear family structure, 580 % were university graduates and 698 % rated their income level as moderate. Girls had higher food refusal scores than boys (P < 005). Children who frequently fell ill also scored higher in food refusal (P < 005). Food refusal decreased with higher family income, larger family size and older parental age (P < 005). Parental nutrition education significantly reduced food refusal scores (P < 005). Higher KIDMED scores were associated with lower food refusal (P < 001), and children with low Kiddy-KINDL scores exhibited higher food refusal behaviours (P < 001). A positive correlation was found between KIDMED and Kiddy-KINDL scores (P < 001). No significant associations were detected between BMI Z scores and food rejection and its subscales. The findings suggest that compliance with the Mediterranean diet reduces food refusal behaviours in preschool children and increases quality of life, while low quality of life is associated with increased food refusal behaviours.
Citation - WoS: 1
Citation - Scopus: 1
Bacterial Microbiome Diversity Along Poultry Slaughtering Lines: Insights From Chicken Carcasses and Environmental Sources
(Sciendo, 2024) Telli, Arife Ezgi; Bicer, Yusuf; Telli, Nihat; Sönmez, Gonca; Turkal, Gamze; Güzel, İsmail
Introduction This study aimed to determine the bacterial diversity of chicken carcasses and their surrounding environment at various stages along a poultry slaughter line.Material and Methods Amplicon sequencing of the 16S rRNA gene was employed to assess the shifts in bacterial community diversity at both phylum and genus levels. Samples were collected from September to November 2021, targeting carcass surfaces at various operational stages (post-defeathering, post-evisceration, post-water chilling, and post-cooling), as well as from the internal environments and air of these units. The study took place in a vertically integrated poultry slaughterhouse in Konya, Turkey.Results Microbial diversity increased after the chilling and storage stages as a result of redistribution of the microorganisms after the physical effect of the slaughtering stages. The final product sample taken after storage had the highest bacterial abundance. The abundance at this stage was found to be strongly correlated with that at other slaughtering stages, as well as with the abundance in chilling water and on the personnel's hands. The common genera in chicken carcasses during slaughter stages were Macrococcus, Acinetobacter, Enterococcus, Escherichia-Shigella, Psychrobacter, Streptococcus, Lactococcus and Ligilactobacillus. Microbiome data in environmental samples indicated that the genera in highest relative abundance were Bacillus, Anoxybacillus, Acinetobacter and Psychrobacter. In air samples, the storage room had the highest diversity and in this place Bacillus spp. and Staphylococcus spp. were in the majority.Conclusion This study may provide some useful information to pinpoint the critical contamination sources in the poultry slaughtering process.
Citation - WoS: 44
Citation - Scopus: 47
Biosorption of Methylene Blue and Malachite Green on Biodegradable Magnetic Cortaderia Selloana Flower Spikes: Modeling and Equilibrium Study
(TAYLOR & FRANCIS INC, 2021) Parlayıcı, Şerife; Pehlivan, Erol
This study involves the production of a novel biosorbent obtained fromCortaderia selloanaflower spikes (CSFs). MagneticC. selloanaflower spikes (nM infinity CSFs) was applied as an ideal biosorbent for the elimination of dyes from water. They were utilized for the removal from aqueous solutions of malachite green (MG) and methylene blue (MB) dyes. The analyses of the equilibrium were done under certain experimental parameters such as contact time, initial dye concentration, pH, and quantity of biosorbent. The rapid intake of dyes to reach the equilibrium in a short period time showed the effectiveness of nM infinity CSFs to adsorb MG and MB. The experimental information of MB and MG was obtained from the Langmuir model and it confirmed the magnificent dye biosorption ability; 72.99 mg/g for CSFs/MB, 119.05 mg/g for nM infinity CSFs/MB, 31.06 mg/g for CSFs/MG, and 56.50 mg/g for nM infinity CSFs/MG. Langmuir's model affirmed the excellent dye biosorption ability. The pseudo-second-order kinetic model displayed a great fit to the experimental result for the removal of MG and MB. The nM infinity CSFs compared with raw biosorbent affirmed that the magnetic form of the biosorbent has a greater removal ability for MB and MG. nM infinity CSFs is a noteworthy biosorbent for MB and MG removal from wastewater. [GRAPHICS] HIGHLIGHTS Magnetic Cortaderia selloana flower spikes (nM1CSFs) was synthesized for the biosorption of dyes FT-IR and SEM analysis were used for characterization. The Langmuir isotherm model fitted the data of the adsorption for nM1CSFs nM1CSFs is a noteworthy biosorbent for MB and MG removal from wastewater.
Citation - WoS: 36
Citation - Scopus: 40
Buckling Analysis of Cnt-Reinforced Polymer Composite Beam Using Experimental and Analytical Methods
(MDPI, 2023) Madenci, Emrah; Özkılıç, Yasin Onuralp; Aksoylu, Ceyhun; Asyraf, Muhammad Rizal Muhammad; Syamsir, Agusril; Supian, Abu Bakar Mohd; Mamaev, Nicolay
The aim of this article was to investigate the effect of carbon nanotubes (CNTs) on the buckling behavior of fiber-reinforced polymer (FRP) composites. The materials used included three layers: carbon-fiber-reinforced polymer (CFRP), epoxy and CNTs. A set of mechanical tests, such as compression and buckling tests, was performed, and also analytical solutions were developed. Damage analysis was also carried out by controlling the damage initiation and crack progression on the composite samples. Experimental results revealed that using 0.3% with CNT additives enhanced the buckling performance of the composite. Finally, the average load-carrying capacity for the clamped-clamped boundary condition was 268% higher in the CNT samples and 282% higher in the NEAT samples compared to the simple-simple condition.
Citation - WoS: 5
Citation - Scopus: 5
Catalytic Effect of Nickel Oxide Nanoparticles From Lupinus Albus Extract on Green Synthesis and Photocatalytic Reduction of Methylene Blue: Kinetics and Mechanism
(Taylor & Francis Inc, 2024) Yılmaz, Mine; Ceyhan, A. Abdullah; Baytar, Orhan
Green synthesis of nanomaterials is advancing due to their ease of synthesis, cheapness, nontoxicity, and renewability. An environmentally friendly biogenic method has been developed for the green synthesis of nickel oxide nanoparticles (NiO NPs) using phytochemical-rich bioextract. They are rich in bioextract phenolics, flavonoids, and berberine. These phytochemicals successfully reduce and stabilize NiNO3 into NiO NPs. In this study, NiO NPs were synthesized by the green synthesis method from Lupinus Albus. Characterization of NiO NPs was carried out by TEM, XRD, SEM, UV, XRF, BET, and EDX analyses. According to XRD analysis, TEM results also support this, where the NiO NPs particle size diameter is 5 nm. It was determined by the Tauc equation that the band energy gap of NiO NPs is 1.69 eV. It was determined that the BET surface area of NiO NPs was 49.6 m2/g. NiO nanoparticles synthesized from Lupinus Albus extract by the green synthesis method were used as catalysts in the photocatalytic reduction of methylene blue with NaBH4. In the photocatalytic reduction of methylene blue with NaBH4, it was determined that there was no color change in 48 h without a catalyst, and in the presence of NiO nanoparticle catalyst, methylene blue was reduced by 97% in 8 min. The kinetics of the photocatalytic reduction of methylene blue with NaBH4 is a pseudo-first-order kinetic model and the kinetic rate constant is determined as 0.66 min-1, indicating that the catalytic effect of NiO NPs is very high at this value. NiO NPs were used five times in the photocatalytic reduction of methylene blue with NaBH4 and it was determined that the reduction of methylene blue was over 90% in each use. NiO nanoparticles were synthesized from Lupinus Albus extract by green synthesis, which is an easily applied, cost-effective, and environmentally friendly method. The synthesized NiO nanoparticles were characterized using various characterization techniques. NiO nanoparticles have a high catalytic effect in the photocatalytic reduction of methylene blue with NaBH4. Photocatalytic reduction of methylene blue with uncatalyzed NaBH4 could not be achieved, and 97% reduction of methylene blue was completed in 8 min in the presence of NiO nanoparticle catalyst.
Citation - WoS: 2
Citation - Scopus: 2
Chitosan-Coated Black Sesame (sesamum Indicum L.) Seed Pulp as a Novel Candidate Adsorbent for Cr(vi) Elimination
(IWA PUBLISHING, 2019) Parlayıcı, Şerife; Tuna, Kübra; Özdemir, Elif; Pehlivan, Erol
This study evaluates the application of Cr(VI) adsorption from the prepared synthetic solution by black sesame (Sesamum indicum L.) seed pulp (BSSP) and chitosan (Cts)-coated black sesame seed pulp beads (Cts-BSSP). BSSP and Cts-BSSP were used as an adsorbent without any chemical or physical treatment to remove Cr(VI) from an aqueous medium. The results indicated that the Cr(VI) removal was pH-dependent and reached an optimum at pH 2.0. It has been observed that the percentage of adsorption increased from 62% to 95% when the amount of Cts-BSSP increased from 0.0125 g to 0.0250 g. The required adsorbent amount for the maximum removal was 0.05 g and 0.1 g for Cst-BSSP and BSSP, respectively. The contact time for the adsorption was 120 min and 90 min for BSSP and Cst-BSSP, respectively. Scanning electron microscopy and Fourier transform infrared spectroscopy were used to explore the possible adsorption mechanism for Cr(VI). The equilibrium data for the BSSP and Cts-BSSP were used with the Langmuir and Freundlich adsorption isotherm models to assess the adsorption capacity and relevant mechanism. The adsorption capacity of the Cts-BSSP for Cr(VI) is relatively high compared to BSSP. The monolayer maximum adsorption capacities for Cr(VI) ions were 31.44 and 18.32 mg/g for Cts-BSSP and BSSP, respectively.
Citation - WoS: 67
Citation - Scopus: 108
Classification of Coronavirus (covid-19) Fromx-Rayandctimages Using Shrunken Features
(WILEY, 2021) Öztürk, Şaban; Özkaya, Umut; Barstuğan, Mücahid
Necessary screenings must be performed to control the spread of the COVID-19 in daily life and to make a preliminary diagnosis of suspicious cases. The long duration of pathological laboratory tests and the suspicious test results led the researchers to focus on different fields. Fast and accurate diagnoses are essential for effective interventions for COVID-19. The information obtained by using X-ray and Computed Tomography (CT) images is vital in making clinical diagnoses. Therefore it is aimed to develop a machine learning method for the detection of viral epidemics by analyzing X-ray and CT images. In this study, images belonging to six situations, including coronavirus images, are classified using a two-stage data enhancement approach. Since the number of images in the dataset is deficient and unbalanced, a shallow image augmentation approach was used in the first phase. It is more convenient to analyze these images with hand-crafted feature extraction methods because the dataset newly created is still insufficient to train a deep architecture. Therefore, the Synthetic minority over-sampling technique algorithm is the second data enhancement step of this study. Finally, the feature vector is reduced in size by using a stacked auto-encoder and principal component analysis methods to remove interconnected features in the feature vector. According to the obtained results, it is seen that the proposed method has leveraging performance, especially to make the diagnosis of COVID-19 in a short time and effectively. Also, it is thought to be a source of inspiration for future studies for deficient and unbalanced datasets.
Citation - WoS: 5
Citation - Scopus: 5
Combined Use of Bwm-Topsis Methods in the Selection of Thermal Power Plant Installation Site in the Karapinar/Turkiye Region, at Risk of Sinkhole Formation
(Springer Science and Business Media Deutschland GmbH, 2024) Gumussoy, A.D.; Onen, V.; Yalpir, S.
With the rapidly increasing world population and the need for industrialization, energy supply has become an important global problem. A significant part of the world's energy needs is provided by fossil fuels. About half of all global coal deposits are low-quality coals, including lignite. Karapınar/Konya, also the study area, has Turkiye's second richest lignite reserve. The region's lignite reserve can be used in thermal power plants for electricity generation in terms of its nature and the amount is an important opportunity to meet the energy demand for both region and country. The region contains many sinkholes, and the potential for the formation of new sinkholes makes the site selection for thermal power plants in the region an even more strategic decision. This study aims to propose the most suitable thermal power plant site for the region by using Multi-Criteria Decision Making methods and Geographic Information Systems in an integrated way. Within the scope of the study, a total of twelve sub-criteria were taken into consideration under the main criteria of Geological, Economic and Environmental. The Best–Worst Method was applied to determine the criteria weights, and by using the weights, a suitability map for the thermal power plant installation site was produced and candidate regions were determined. TOPSIS was applied to determine the most suitable location among the candidate regions. The Candidate Region in the easternmost part of Karapinar district was chosen as the most suitable site for the thermal power plant installation. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
Citation - WoS: 7
Citation - Scopus: 12
A Comprehensive Study of Brain Tumour Discrimination Using Phase Combinations, Feature Rankings, and Hybridised Classifiers
(SPRINGER HEIDELBERG, 2020) Koyuncu, Hasan; Barstuğan, Mücahid; Öziç, Muhammet Üsame
The binary categorisation of brain tumours is challenging owing to the complexities of tumours. These challenges arise because of the diversities between shape, size, and intensity features for identical types of tumours. Accordingly, framework designs should be optimised for two phenomena: feature analyses and classification. Based on the challenges and difficulty of the issue, limited information or studies exist that consider the binary classification of three-dimensional (3D) brain tumours. In this paper, the discrimination of high-grade glioma (HGG) and low-grade glioma (LGG) is accomplished by designing various frameworks based on 3D magnetic resonance imaging (3D MRI) data. Accordingly, diverse phase combinations, feature-ranking approaches, and hybrid classifiers are integrated. Feature analyses are performed to achieve remarkable performance using first-order statistics (FOS) by examining different phase combinations near the usage of single phases (T1c, FLAIR, T1, and T2) and by considering five feature-ranking approaches (Bhattacharyya, Entropy, Roc,ttest, and Wilcoxon) to detect the appropriate input to the classifier. Hybrid classifiers based on neural networks (NN) are considered due to their robustness and superiority with medical pattern classification. In this study, state-of-the-art optimisation methods are used to form the hybrid classifiers: dynamic weight particle swarm optimisation (DW-PSO), chaotic dynamic weight particle swarm optimisation (CDW-PSO), and Gauss-map-based chaotic particle-swarm optimisation (GM-CPSO). The integrated frameworks, including DW-PSO-NN, CDW-PSO-NN, and GM-CPSO-NN, are evaluated on the BraTS 2017 challenge dataset involving 210 HGG and 75 LGG samples. The 2-fold cross-validation test method and seven metrics (accuracy, AUC, sensitivity, specificity, g-mean, precision, f-measure) are processed to evaluate the performance of frameworks efficiently. In experiments, the most effective framework is provided that uses FOS, data including three phase combinations, the Wilcoxon feature-ranking approach, and the GM-CPSO-NN method. Consequently, our framework achieved remarkable scores of 90.18% (accuracy), 85.62% (AUC), 95.24% (sensitivity), 76% (specificity), 85.08% (g-mean), 91.74% (precision), and 93.46% (f-measure) for HGG/LGG discrimination of 3D brain MRI data.
Citation - WoS: 17
Citation - Scopus: 20
Creep Properties and Analysis of Cross Arms' Materials and Structures in Latticed Transmission Towers: Current Progress and Future Perspectives
(MDPI, 2023) Asyraf, Muhammad Rizal Muhammad; Rafidah, Mazlan; Madenci, Emrah; Özkılıç, Yasin Onuralp; Aksoylu, Ceyhun; Razman, Muhammad Rizal; Ramli, Zuliskandar
Fibre-reinforced polymer (FRP) composites have been selected as an alternative to conventional wooden timber cross arms. The advantages of FRP composites include a high strength-to-weight ratio, lightweight, ease of production, as well as optimal mechanical performance. Since a non-conductive cross arm structure is exposed to constant loading for a very long time, creep is one of the main factors that cause structural failure. In this state, the structure experiences creep deformation, which can result in serviceability problems, stress redistribution, pre-stress loss, and the failure of structural elements. These issues can be resolved by assessing the creep trends and properties of the structure, which can forecast its serviceability and long-term mechanical performance. Hence, the principles, approaches, and characteristics of creep are used to comprehend and analyse the behaviour of wood and composite cantilever structures under long-term loads. The development of appropriate creep methods and approaches to non-conductive cross arm construction is given particular attention in this literature review, including suitable mitigation strategies such as sleeve installation, the addition of bracing systems, and the inclusion of cross arm beams in the core structure. Thus, this article delivers a state-of-the-art review of creep properties, as well as an analysis of non-conductive cross arm structures using experimental approaches. Additionally, this review highlights future developments and progress in cross arm studies.
Citation - WoS: 1
Citation - Scopus: 1
A Cutting-Edge Multilayer Nanofiber Wound Dressing: Design, Synthesis, and Investigation for Enhanced Wound Healing in Vitro and in Vivo
(John Wiley and Sons Inc, 2025) Bilgiseven, I.M.; Deveci, I.; Kismet, K.; Karakurt, S.
Wounds, disruptions in normal anatomy, are classified as acute or chronic. The choice of wound treatment relies significantly on dressing materials. Electrospun nanofibrous materials offer promising applications in wound healing, featuring a substantial surface area, close mimicry of the natural extracellular matrix, and adjustable water resistance, air permeability, and drug release. This research endeavors to formulate an innovative three-layered nanofibrous wound dressing using the electrospinning technique with the primary objectives of enhancing patient well-being, exhibiting antimicrobial characteristics, and expediting wound healing. The designed dressing comprises nanofibers of polyurethane (PU), quercetin (Q)-loaded polyethylene glycol (PEG), polyvinyl alcohol (PVA), and gelatin. Characterization of individual layers and the integrated wound dressing was conducted through SEM and FT-IR analyses. The efficacy of the nanofibrous wound dressing was assessed through in vitro human cell culture and in vivo rat wound models. The anti-toxic effects of nanofiber wound dressing on human epithelial and keratin cells have been proven. In vitro wound models in 24-well plates were utilized to assess the impact on wound healing rates. Photographic documentation of wound closure was performed at the different treatment hours, revealing complete closure of the wounds by the end of the 48th hour. Rats with 2 × 1 cm wounds were treated with the nanofibrous dressings, and wound healing progress was observed over a 14-day period. qRT-PCR was employed to analyze MMP-9, TIMP1, COL1A1, PDGFA, and VEGFC mRNA expressions. With its contemporary design surpassing existing treatments, the nanofiber wound dressing stands out for its wound-healing acceleration and antibacterial properties. © 2025 Wiley Periodicals LLC.
Citation - WoS: 22
Citation - Scopus: 24
Decolorization of Water Through Removal of Methylene Blue and Malachite Green on Biodegradable Magnetic Bauhinia Variagata Fruits
(TAYLOR & FRANCIS INC, 2022) Bayram, Okan; Köksal, Elif; Göde, Fethiye; Pehlivan, Erol
Batch sorption experiments were performed to investigate the potential of Bauhinia variagata fruit (BVf) and nano-magnetic Bauhinia variagata fruit (nM-BVf) to remove methylene blue (MB) and malachite green (MG). Equilibrium studies have been carried out using various experimental parameters such as the amount of biosorbent, initial solution concentration, contact time, pH, and temperature. The Langmuir, Freundlich, Scatchard, D-R and Temkin adsorption models were applied for the experimental information of MB and MG. The Freundlich model fits better than the Langmuir model. Freundlich model confirmed the magnificent dye sorption ability; 19.3 mg/g for BVf/MB, 21.2 mg/g for nM-BVf/MB, 19.7 mg/g for BVf/MG, and 30.1 mg/g for nM-BVf/MG. The pseudo-second-order kinetic model displayed a more suitable behavior to the experimental result for the removal of MG and MB. Thermodynamic parameters such as changes in Gibbs free energy (Delta G(o)), enthalpy (Delta H-o), and entropy (Delta S-o) were investigated and the fine details in the adsorption system were completed. The conclusion from this study is that the prepared nano biosorbent can be efficient for the removal of cationic dyes from wastewater.
Citation - WoS: 10
Citation - Scopus: 16
Design and Validation of Multichannel Wireless Wearable Semg System for Real-Time Training Performance Monitoring
(HINDAWI LTD, 2019) Örücü, Serkan; Selek, Murat
Monitoring of training performance and physical activity has become indispensable these days for athletes. Wireless technologies have started to be widely used in the monitoring of muscle activation, in the sport performance of athletes, and in the examination of training efficiency. The monitorability of performance simultaneously in the process of training is especially a necessity for athletes at the beginner level to carry out healthy training in sports like weightlifting and bodybuilding. For this purpose, a new system consisting of 4 channel wireless wearable SEMG circuit and analysis software has been proposed to detect dynamic muscle contractions and to be used in real-time training performance monitoring and analysis. The analysis software, the Haar wavelet filter with threshold cutting, can provide performance analysis by using the methods of moving RMS and %MVC. The validity of the data obtained from the system was investigated and compared with a biomedical system. In this comparison, 90.95% +/- 3.35 for left biceps brachii (BB) and 90.75% +/- 3.75 for right BB were obtained. The output of the power and %MVC analysis of the system was tested during the training of the participants at the gym, and the training efficiency was measured as 96.87% +/- 2.74.
Citation - WoS: 3
Citation - Scopus: 2
Effect of Hetero-Atom Doping on the Structure and Optical Properties of Carbon Quantum Dots for the Sensitive Detection of Heavy Metal Ions
(Wiley, 2025) Kurukavak, Cisem Kirbiyik; Tok, Mutahire; Toprak, Aysegul; Yurdakul, Merve; Ersoz, Mustafa
Metal pollution in water sources due to modernization is a human health and environmental problem. Therefore, the highly fluorescent boron- and nitrogen-doped and nitrogen-doped carbon quantum dots (B,N-CQDs and N-CQDs, respectively) were synthesized and investigated to be used as a fluorescence sensor for metal ion detection. In this study, the synthesized B,N-CQDs and N-CQDs had an average size of 4-6 nm and 3-4 nm, respectively. The B,N-CQDs presented high sensitivity as 0.0090, 0.0086 and 0.0091 units per micromolar for Cr3+, Cu2+ and Fe2+, respectively, whereas the N-CQDs showed sensitivity as 0.0047, 0.0102, 0.0095 and 0.0121 units per micromolar for Cr3+, Cu2+, Fe2+ and Ni2+, respectively. In the concentration range of 10-80 mu M, the detection limits of B,N-CQDs and N-CQDs were found to be in the range of 13.9-65.5 mu g/L and 14.9-38.3 mu g/L, respectively. The result of the study clearly indicates that B,N-CQDs and N-CQDs can be seen as metal ion sensing devices with high sensitivity and low cost.

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