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Koleksiyondaki öğeler
- MakaleYalnız künye2026Scopus SJRQ2A Parametric Study on a Thermoelectric-Integrated Battery Thermal Management System for Electric Vehicles: New Designs Utilizing Different Numbers of Thermoelectric Modules
Tuğan, Volkan
The safety, lifespan, and performance of battery systems in electric vehicles directly depend on the implementation of an effective thermal management strategy. In this study, a novel lithium-ion battery thermal management system integrated with a wavy cooling channel and different numbers of thermoelectric modules is proposed. Computational fluid dynamics-based numerical simulations were conducted at two ambient temperatures (298.15 K and 303.15 K) and three different thermoelectric temperatures (288.15 K, 293.15 K, and 298.15 K). Three configurations with four, six, and eight thermoelectric modules were analyzed and compared with the conventional case without thermoelectrics. The lowest maximum battery temperature was obtained with the design employing eight thermoelectric modules under the conditions of 298.15 K ambient temperature and 288.15 K thermoelectric temperature. It was found that integrating thermoelectrics into the battery thermal management system reduced the maximum battery temperature by up to 12.11 K and the maximum temperature difference by up to 5.83 K. Furthermore, maintaining the thermoelectric temperature approximately 5–10 K below the ambient temperature was identified as a critical design parameter to ensure both efficient cooling and thermal homogeneity. The use of different numbers of thermoelectric modules and the selection of appropriate operating temperatures were shown to play a decisive role in optimizing system performance.
- MakaleYalnız künye2025Scopus SJRQ1Dunite powder as a green precursor in one-part alkali-activated composites: Effects on mechanical and durability properties
Benli, Ahmet; Bayraktar, Oğuzhan Yavuz; Karataş, Mehmet; Bodur, Burak; Yılmazoğlu, Mehmet Uğur; Kaplan, Gökhan
Natural pozzolans are a sustainable alternative to Portland cement, offering abundant alumina and reactive silica for geopolymer production. Due to their simple extraction methods, they are cost-effective and environmentally friendly. This study explores the utilization of dunite powder (DP) as a sustainable precursor in one-part alkali-activated slag-based composites (AAC), aiming to evaluate its potential to partially replace granulated blast furnace slag (GBFS). The mechanical, fresh, and durability properties of the composites were investigated by varying DP replacement levels (0%, 15%, 30%, and 60%) under an activator dosage of sodium metasilicate, with the mixtures cured at 80 °C for 24 h and subsequently exposed to ambient conditions. The compressive and flexural strengths were evaluated at 7, 28, and 91 days, while the fresh properties (flowability and setting time), durability under sulfate attack, high-temperature resistance, freeze-thaw resistance, dry shrinkage, sorptivity and microstructural characteristics (SEM, XRD, and FT-IR) were also examined. The compressive strength decreased with higher DP content, with the 60% DP mixture showing a 43% strength reduction at 28 days compared to the reference mixture. However, the 30% DP mixture achieved a favorable balance between strength and sustainability, demonstrating a compressive strength decrease of only 11% at 91 days. The mixture containing 15% DP demonstrated the best performance under high-temperature conditions and freeze-thaw cycles. The 60% DP mixture exhibited the highest mass and strength loss when exposed to temperatures above 400 °C and a 15% compressive strength reduction after 120 days of immersion in a 10% MgSO4 solution.
AtıfScopus29OpenAlex22
İncele - MakaleYalnız künye2025Scopus SJRQ2Ampelographic and population structure analysis of grape accessions under eastern anatolia conditions-Türkiye (Tunceli), assessed by SSR markers
Karaca Sanyürek, Nesrin; Söylemezoğlu, Gökhan; Yüksel Özmen, Canan; Ergül, Ali; Ovayurt, Çağrı
Türkiye, which holds an important agricultural spot in the world with its ecological conditions for the cultivation of numerous plant species, has a highly rich genetic potential in terms of the genetic resource diversity of grapes. The Tunceli province, located in the Eastern Anatolia region, is a Turkish region with a harsh terrain structure. This study aims to perform the genetic characterisation and identification of the grape accessions within the Tunceli province, which are not included in the national collection vineyard and are at risk of extinction. In this study, ampelographic characterisation was conducted using a set of 78 descriptors (Vitis species) established by the OIV (Organisation Internationale de la Vigne et du vin) and a Principal Component Analysis was performed. A total of 54 grape samples, consisting of 52 indigenous (from six different regions/populations), 2 reference samples, 1 identical, 1 synonymous, and 4 homonymous cases, were identified using 6 SSR markers. In the structure analysis, it was observed that there was significant gene flow among the Tunceli region populations. Moreover, through the Bayesian analysis, it was determined that the Tunceli region populations (except for the reference population) had a high degree of admixture. In the FCA analysis (with the reference population), it was found that the Akpazar population in particular and, partially, the Mazgirt population, exhibited distinctions. However, genetic distance data also confirmed the distance of the Akpazar population from others. In the RPPs clustering analyses, while the entire population was distributed across 4 different RPPs, 39 accessions (72%) were assigned to one of the RPPs with a membership probability greater than 80%.
- MakaleAçık Erişim2026Scopus SJRQ2Pollution estimation and health risks assessment related to the agricultural application of mussel shell-derived chitosan as organic amendment
Arslan Topal, E. Işil; Topal, Murat; Çelik, Erdal; Öbek, Erdal
In this study, estimation of pollution and assessment of health risks related to the agricultural application of mussel shell–derived chitosan as organic amendment were evaluated. Furthermore, considering WHO maximum permissible levels in soil, the application rates of chitosan to agricultural soils were calculated. Geo-accumulation index (Igeo), enrichment factor (EF), contamination factor (CF), pollution load index (PLI), and ecological risk index (ERI) were calculated. Mussel shell-derived chitosan generally did not contribute to soil metal loading when evaluated in terms of those indices. The highest hazard quotient for ingestion (HQing) across male (ML), female (FML), and children (CL) followed the order Cr > Ni > Mn >Pb >Zn >Cu, while maximum HQing among metals was observed in the order CL > FML > ML. For inhalation exposure, highest HQinh for all metals was also found in the order CL > FML > ML, with individual metal contributions following Mn > Ni > Cr >Zn >Pb >Cu. Maximum HQder exhibited the trend ML > FML > CL, and the metal-specific order for HQder was Cr > Pb > Ni >Zn >Mn >Cu. Hazard Index (HI) and Total HI for ingestion, inhalation and dermal exposure were all less than 1. Cancer risk was less than 1 × 10−6. Consequently, there were no pollution and health risks associated with the use of musselshell‑derived chitosan in agriculture as organic amendment.
- Derleme MakaleYalnız künye2025Scopus SJRQ1A short review of structural, mechanical and magnetic properties of high and medium entropy alloys added rare earth elements
Yayla, Nihal; Güler, Ömer
This study presents a comprehensive review of the structural, mechanical and magnetic properties of high and medium entropy alloys (HEA and MEA) with rare earth elements (REE) additions. The addition of REE has been shown to have significant effects on phase transformations, microstructural arrangements and thermodynamic stability. Studies in the literature show that REE addition improves properties such as hardness, strength, deformation resistance and magnetic performance. In particular, changes such as transitions from FCC to HCP, formation of intermetallic phases and grain refinement have been observed in phase types with the addition of elements such as Gd, Y and Nd. REE added HEAs offer great potential for modern engineering and advanced technology applications with their superior magnetic moments, magnetocaloric effects and thermal stability. However, there is limited information in the literature on REE added HEAs. This review aims to provide a comprehensive framework for the development of REE added HEAs and to serve as an important reference point for future research.
AtıfScopus7WoS7OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ2Investigation of anticorrosive and antibacterial properties of electrochemically modified AISI430 steel surfaces; [Elektrokimyasal yöntem ile modifiye edilmiş AISI430 çelik yüzeylerin antikorozif ve antibakteriyel özelliklerinin incelenmesi]
Açar, Gülistan; Cihangir, Salih; Omaç, Basri; Aydoğdu, Hacı Mehmet; Oflaz, Mücahit
Both pharmacological and material-based approaches aim to slow bacterial evolution toward resistance. In this context, imparting specific antibacterial properties to materials is essential. Traditionally, alloying was a method to equip entire metals with antibacterial features, such as incorporating small amounts of copper (Cu) and/or silver (Ag). However, due to the high cost and inherent limitations of alloying, surface modification processes have gained prominence. Recent antibacterial studies on copper have led to the application of Cu(Ag) electrochemical coatings on AISI430 steel surfaces. This study aims to combine copper’s antibacterial properties with enhanced corrosion resistance and surface hardness. The coatings were deposited using deep eutectic solvents, known for their environmentally friendly properties, followed by potentiodynamic analysis. Microstructural and phase distribution characteristics were examined through SEM-EDS analysis, while surface roughness was analyzed using profilometry. Transitioning from micro-disc electrodes to macro-scale AISI430 substrates, Cu(Ag) films containing 16% Ag demonstrated nanoscale roughness, approximately double the hardness, and superior corrosion resistance compared to conventional copper surfaces. Antibacterial tests compared the coated surfaces with untreated AISI430 steel. Results showed that Cu(Ag)-coated surfaces exhibited improved antibacterial properties. This study shows how Cu(Ag) electrochemical coatings can be used to make surfaces that are antibacterial, long-lasting, and resistant to corrosion.
- Derleme MakaleYalnız künye2026Scopus SJRQ1Assessing the Impact of Climate Change on the Sustainability of Sorghum Production: A Bibliometric Analysis
Zheng, Mingke; Tutar, Halit; Shaghaleh, Hiba; Alhaj Hamoud, Yousef; Er, Hasan; Omac, Basri; Yildirim, Gokhan; Eren, Ömer; Khalifa, Muhammad; Mwamahonje, Andekelile
Sorghum is a crucial crop for sustainable agriculture due to its drought resistance, low carbon footprint, and diverse applications in food, feed, and bioenergy. However, understanding the impact of climate change on sorghum production is essential for ensuring its future sustainability. This study conducts a comprehensive bibliometric analysis of scientific publications related to sorghum and climate change using the Web of Science (WoS) database, covering the period from 1984 to 2024. A total of 1053 relevant papers were analyzed, revealing an average annual growth rate of 12.73% and an average citation count of 32.02 per document. Most of the publications (83.5%) were research articles, while 9.7% were review papers. Among the contributing researchers, Prasad PVV emerged as the most productive author based on an h-index of 13, whereas the United States was identified as the most influential country, contributing 235 documents and 13,750 citations. Keyword clustering analysis identified five major research themes, including sustainable energy and environmental impacts, climate resilience, socioeconomic effects of climate change, and key crops. The findings of this study offer valuable scientific insights to guide future research and policymaking on climate change and sorghum sustainability.
AtıfScopus4OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2A New Hybrid ConvViT Model for Dangerous Farm Insect Detection
Utku, Anil; Kaya, Mahmut; Canbay, Yavuz
This study proposes a novel hybrid convolution and vision transformer model (ConvViT) designed to detect harmful insect species that adversely affect agricultural production and play a critical role in global food security. By utilizing a dataset comprising images of 15 distinct insect species, the suggested approach combines the strengths of traditional convolutional neural networks (CNNs) with vision transformer (ViT) architectures. This integration aims to capture local-level morphological features effectively while analyzing global spatial relationships more comprehensively. While the CNN structure excels at discerning fine morphological details of insects, the ViT’s self-attention mechanism enables a holistic evaluation of their overall configurations. Several data preprocessing steps were implemented to enhance the model’s performance, including data augmentation techniques and strategies to ensure class balance. In addition, hyperparameter optimization contributed to more stable and robust model training. Experimental results indicate that the ConvViT model outperforms commonly used benchmark architectures such as EfficientNetB0, DenseNet201, ResNet-50, VGG-16, and standalone ViT, achieving a classification accuracy of 93.61%. This hybrid approach improves accuracy and strengthens generalization capabilities, delivering steady performance during training and testing phases, thereby increasing its reliability for field applications. The findings highlight that the ConvViT model achieves high efficiency in pest detection by integrating local and global feature learning. Consequently, this scalable artificial intelligence solution can support sustainable agricultural practices by enabling the early and accurate identification of pests and reducing the need for intensive pesticide use.
AtıfScopus9WoS5OpenAlex11İncele - MakaleYalnız künye2026Scopus SJRQ3Optimization and Modeling of Brilliant Yellow Removal Via Neodymium-Infused Polymeric Hydrogel: A Central Composite Design Study
Pıhtılı Yıldız, Güzin; Tanyol, Mehtap; Demir, Ferhat
This study investigates the adsorption performance of a neodymium (III)-reinforced Poly(acrylamide-co-N-vinylimidazole) hydrogel composite [P(AAm-co-NVI)/Nd3+] for the removal of brilliant yellow (BY) dye from aqueous media. The hydrogel structure and metal–polymer interactions were characterized using FT-IR, TGA, SEM, and XRD analyses. The adsorption process was systematically optimized using a central composite design (CCD) approach combined with response surface methodology (RSM). The CCD-RSM second-order model exhibited a good fit to the experimental data (R2 = 0.9350), as supported by ANOVA. Numerical optimization revealed a maximum removal efficiency of 99.13% at a hydrogel dosage of 0.08 g/100 mL, an initial BY concentration of 81.68 mg/L, and a contact time of 61.73 min. Langmuir and the Freundlich isotherms were used in modeling the adsorption data. When the correlation coefficients of both models were compared, it was observed that the Langmuir isotherm provided a better fit for adsorption. The enhanced adsorption performance is attributed to the presence of Nd3+ ions, which promote additional electrostatic interactions and coordination sites between the hydrogel matrix and anionic dye molecules. The results demonstrate that Nd3+-reinforced hydrogels can serve as efficient and tunable adsorbent systems, particularly when process parameters are optimized statistically.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Post-disaster psychological effects: identifying earthquake-induced trauma in athletes
Uğurlu, Fatih Mehmet; Güler, Muhammed; Albayrak, Veysel; Aygören, Caner
Natural disasters not only cause physical destruction but also lead to various psychological problems affecting the mental health of individuals. This study was conducted to determine the levels of post-earthquake trauma in athletes who experienced earthquakes and whether certain variables made a difference in this situation. The sample of the study consisted of 359 athletes living in 11 provinces affected by the earthquakes centered in Kahramanmaraş, Turkey, on February 6, 2023. Participants were reached using the Snowball Sampling Method. The Sociodemographic Information Form and the Post-Earthquake Trauma Level Determination Scale were used to collect data. As a result of the descriptive statistics, it was seen that athletes experienced above-average earthquake trauma (M = 65.84). When examined in terms of sociodemographic variables, it was found that women showed more symptoms of earthquake trauma than men, those who experienced the loss of relatives showed more symptoms than those who did not, and those who experienced the loss of a home showed more symptoms than those who did not. In conclusion, while exercise and physical activity are methods used to cope with trauma, being an athlete alone is not sufficient to cope with earthquake trauma. Women, whether athletes or not, experience more earthquake trauma than men. Losing relatives exacerbates the trauma caused by the earthquake. Furthermore, the loss of a home, which prevents individuals from meeting some basic physiological needs, is a significant factor in earthquake trauma.
- MakaleAçık Erişim2026Scopus SJRQ1RGO-CBPAC versus CBPAC for diluted leachate treatment: adsorption isotherms, kinetics and thermodynamics
Ogedey, A.; Oguz, E.
This study compares carbon-based activated carbon (CBPAC) and reduced graphene oxide-modified CBPAC (RGO-CBPAC) for removing COD, NH3–N, and turbidity from 1:4 diluted leachate from the Bingöl landfill site. Brunauer Emmett Teller (BET) analysis indicated severe micropore blockage in CBPAC after adsorption (887 → 0.76 m2/g), whereas RGO-CBPAC retained a higher surface area (908 → 23 m2/g) and mesoporous structure, demonstrating enhanced structural stability due to graphene incorporation. Fourier-transform infrared spectroscopy (FTIR) and scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM–EDX) confirmed the presence of surface functional groups and effective pollutant uptake, with RGO-CBPAC showing stronger surface–pollutant interactions. Zeta potential analysis showed pH-dependent surface charge behaviour, with CBPAC exhibiting amphoteric characteristics and RGO-CBPAC maintaining a more negative surface. After adsorption, both became more negatively charged, indicating the accumulation of negatively charged species. Kinetic analysis showed that COD adsorption on CBPAC followed pseudo-first-order and intraparticle diffusion models, whereas NH3–N and turbidity followed pseudo-second-order kinetics. In contrast, RGO-CBPAC exhibited pseudo-second-order and intraparticle diffusion behaviour for all pollutants, suggesting chemisorption with diffusion-controlled contributions. Adsorption equilibrium was best described by the Langmuir isotherm, yielding maximum capacities of 500 and 588 mg O2/g for COD, 17.5 and 36.5 mg/g for NH3–N, and 18.1 and 58.5 mg/g ((NH2)2H2SO4)/g for turbidity on CBPAC and RGO-CBPAC, respectively. Thermodynamic analysis demonstrated that COD and turbidity removal using RGO-CBPAC were spontaneous (∆G° < 0) and endothermic (∆H° > 0), whereas NH3–N removal remained non-spontaneous for both adsorbents. RGO incorporation significantly enhanced adsorption performance.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ3Experimental and Theoretical Study on the Freshwater Productivity of a Single-Slope Solar Still
Tuğan, Volkan; Işık, Erdem; İnallı, Mustafa
Converting saline water into freshwater using renewable energy resources is crucial to address global shortages of freshwater. This study aims to investigate the freshwater productivity of a single-slope solar still (SSS) operating with solar energy, one of the renewable energy sources. The main motivation of this study is to evaluate the experimental, theoretical, and economic performance of the solar still under climate conditions that have not been sufficiently studied before. Experimental analyses were conducted under the climatic conditions of Tunceli, a city located in the Eastern Anatolia Region of Türkiye. In addition, a comprehensive theoretical analysis was carried out using energy equations, and the experimental and theoretical results were compared with each other. Finally, the economic feasibility of the system was evaluated through a cost analysis. The SSS's experimental and theoretical productivity were found to be 1883.9 and 2458.7 g/m2/day, respectively. The experimental thermal efficiency for this still was 15.1%, whereas the theoretical thermal efficiency was 19.7%. It was concluded that the theoretical productivity and efficiency values were close to the experimental values and the difference between them originated from the assumptions of theoretical calculations. The cost of water distilled by the single-slope solar distillation unit was found to be $0.077/kg, and the payback period was found to be 9 months.
AtıfScopus2WoS3OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1A new lightweight convolutional neural network model for detecting drivable road regions
Doğan, Gürkan; Uyanık, Hakan; Ergen, Burhan
Nowadays, due to the rapid increase in the number of autonomous vehicles on the market, the safe navigation of these vehicles in drivable road areas has become extremely important. One of the most crucial factors in ensuring safe navigation is addressing the detection of drivable road areas as a task of semantic segmentation. Considering that autonomous vehicles are modular, the algorithm to perform this task must have the optimum trade-off in terms of lightweight, computational complexity, and segmentation accuracy. In this study, RoNet, a new model based on convolutional neural networks that provides an optimum trade-off for the detection of drivable road regions, was designed and proposed. The standard convolution types for the encoder and decoder bottleneck module of the RoNet model, as well as the spatial edge attention mechanism, have been optimized by developing asymmetric convolution types using asymmetric atrous convolution, asymmetric convolution types using Prewitt and Sobel kernels. Spatial edge attention mechanism is designed to reduce the loss of detailed information in small-resolution feature maps. In experimental tests performed with CamVid and FUVid datasets, RoNet achieved a better trade-off in terms of segmentation accuracy, number of parameters, and computational complexity compared to other state-of-the-art methods.
AtıfScopus3WoS3OpenAlex6İncele - Kitap BölümüYalnız künye2025Scientific production in waste management and ecological sustainability from a bibliometric approach
Ay, Ilhami; Dal, Murat
This study employs a bibliometric approach to examine the scientific production trends in waste management and ecological sustainability, encompassing publications from 1995 to 2024. The research employs the VOSviewer software to analyse 778 academic articles indexed in the Web of Science database. By identifying key journals, influential authors, major keywords and citation networks, the study elucidates the academic evolution and emerging directions in waste management research. The findings indicate a significant increase in publication activity post-2014, which reflects the growing importance of sustainability issues. The key themes identified include waste management, environmental sustainability, life cycle assessment, and the circular economy. The study underscores the need for interdisciplinary approaches and enhanced global collaboration in advancing sustainable waste management practices. Through its comprehensive analysis, this research provides valuable insights for academia and policymakers to address environmental challenges effectively.
- MakaleYalnız künye2026Scopus SJRQ1Thermodynamic assessment of an equiatomic FeNiCoCrMn precursor for a spinel high-entropy oxide produced via mechano-oxidation with structure–radiation interaction correlation
Güler, Ömer; Güler, Seval Hale; Özkul, İskender; ALMisned, Ghada; Sen Baykal, Duygu; Tekin, H.O.
Spinel high-entropy oxides (HEOs) can stabilize multiple transition-metal cations within a single lattice, yet their radiation-interaction behavior is scarcely explored. Here, a (FeNiCoCrMn)3O4 spinel HEO was produced via an alloy-to-oxide route: 40 h mechanical alloying of equiatomic FeNiCoCrMn powders followed by mechano-oxidation (1000 °C/3 h) and high-energy grinding. HEA-derived thermodynamic metrics were used to rationalize the stability of the equiatomic metallic precursor prior to mechano-oxidation, rather than to directly predict the formation of the final oxide phase. XRD evidenced progressive amorphization of the HEA and its conversion to a crystalline spinel oxide, while SEM–EDS confirmed homogeneous elemental distribution. XPS indicated a defect-rich, multivalent surface (Co2+/Co3+, Cr3+/Cr6+, Fe3+, mixed Mn states, Ni2+) with lattice oxygen and vacancy-related components. Moreover, the spinel oxide showed higher linear attenuation coefficients than 316L stainless steel, Inconel-718, and several lightweight Al-based entropy alloys, yielding lower HVL values, especially at low energies. Zeff exhibited the expected energy dependence and exceeded Al-dominant alloys across the spectrum. EBF/EABF at 1 and 40 mfp displayed Compton-region peaks and strong depth effects, consistent with attenuation behavior. It can be concluded that a (FeNiCoCrMn)3O4 spinel high-entropy oxide, produced via an alloy-to-oxide transformation route, exhibits structurally stable and compositionally homogeneous characteristics together with favorable gamma-ray attenuation behavior.
- MakaleAçık Erişim2025Scopus SJRQ3Three Remarkable Moss Species New to Türkiye and Southwest Asia; [Trois espèces remarquables de mousses inédites en Turquie et en Asie du Sud-Ouest]
Erata, Hüseyin; Batan, Nevzat; Alataş, Mevlüt; Ezer, Tülay
Iwatsukiella leucotricha (Mitt.) Buck & Crum., Andreaea alpestris (Thed.) Schimp., and Andreaea mutabilis Hook.f. & Wilson are newly recorded in Türkiye and Southwest Asia, following a recent bryological survey in the Artvin region. Additionally, the genus Iwatsukiella W.R.Buck & H.A.Crum. has been introduced as a new record for Türkiye's bryophyte flora. This study provides brief descriptions, illustrations, and data on the geographic distribution and ecological preferences of these species, along with comparisons to morphologically similar species.
AtıfOpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ1Improvement of mechanical, dynamic mechanical, and thermal properties of almond shell powder reinforced acrylonitrile butadiene styrene composites by addition of cerium oxide
Doğan, Akar; Güneş, Çağdaş
Currently, natural materials are gradually replacing synthetic materials in polymer composites due to factors including cost-effectiveness, sustainability, and the availability of raw materials. This study examined the variations in thermal, mechanical, and dynamic mechanical properties of acrylonitrile butadiene styrene (ABS) thermoplastic composite materials incorporating varying ratios of almond shell powder (ASP) and Cerium Oxide (CeO2). Tensile tests, three-point bending tests, dynamic mechanical analyses, and thermogravimetric analyses were conducted. Scanning electron microscopy (SEM) and energy-dispersive spectroscopy (EDS) analyses were employed to assess pure ABS and nine distinct composite materials. The tensile strength, elastic modulus, and three-point bending strength of the composite material exhibited increases of 6%, 7%, and 7.5%, respectively, compared to pure ABS, with various ratios of almond shell powder and CeO2 reinforcement. Moreover, composite materials exhibit elevated glass-transition temperatures and storage moduli compared to pure ABS. Microstructure images obtained through SEM and EDS element mapping illustrate the distribution of ASP and CeO2 in ABS, influencing its mechanical and thermal properties. Highlights: Almond shell powder and cerium oxide were used as filler materials in ABS. Mechanical, morphological, and dynamic mechanical properties were investigated. Almond shell powder enhanced the mechanical properties of the ABS composite. Low cerium oxide supplementation improved the mechanical properties.
AtıfScopus4WoS4OpenAlex5İncele - MakaleAçık Erişim2026Scopus SJRQ2Hybrid Supervised Classification and Deep Embedding–Based Profiling Framework for Electricity Consumption Analysis
Gunay, Mihriban; Yildirim, Ozal; Demir, Yakup; Zhilevski, Marin; Mikhov, Mikho; Yordanov, Nikolay
This study proposes a hybrid deep learning framework that integrates supervised classification and unsupervised profiling for electricity consumption analysis. In the supervised phase, a one-dimensional Convolutional Neural Network combined with Long Short-Term Memory (1D CNN–LSTM) architecture is developed to classify daily load patterns. The performance of the proposed model is compared with traditional machine learning and deep learning approaches, including Support Vector Machine (SVM), k-Nearest Neighbors (KNN), a standalone Long Short-Term Memory (LSTM) model, a Transformer-based model, and a standalone 1D CNN model. Experimental results on the Precon house dataset and the CU-BEMS dataset demonstrate that the proposed hybrid architecture outperforms the benchmark models, achieving classification accuracies of 87.59% and 86.40%, respectively. In the unsupervised phase, the trained CNN–LSTM encoder is utilized as a deep feature extractor. The resulting 32-dimensional latent embeddings are clustered using K-Means, Gaussian Mixture Model (GMM), Agglomerative, Spectral, and Ensemble methods. Clustering robustness is evaluated through bootstrap-based stability analysis using the Adjusted Rand Index (ARI) and the Normalized Mutual Information (NMI). The results demonstrate stable and interpretable electricity consumption profiles, particularly in the residential dataset, where near-perfect clustering stability is observed for K-Means. The proposed framework provides both improved classification performance and robust consumption profiling based on deep embedding, offering a practical tool for energy management.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ2Ultrasound assisted extraction of phenolic compounds from Tunceli walnut varieties using deep eutectic solvents
Aydin, Çağlar Mert
This study aimed to improve a green way to enhance extraction of bioactive compounds from walnut, and to evaluate the effect of altitude on walnut bioactive content. Total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activity were evaluated as bioactive compounds of walnut. In comparison with conventional solvents (water, ethanol and methanol), three DESs (Deep eutectic solvents) were formed from choline chloride, zinc chloride, and sorbitol as HBA and ethylene glycerol as HBD. The DESs (DES-1 and DES-2) generated from choline chloride and zinc chloride exhibited better extraction efficiencies for any bioactive compound than that of conventional solvents. Especially, the DES formed from the choline chloride: ethylene glycerol demonstrated the highest extraction efficiency. However, sugar-based DES showed the worst extraction efficiency. The altitude significantly affected extracted bioactive contents from walnuts (Hozat 1000m, Ovacik 1300m and Nazimiye 1550m). Walnut’s extracted bioactive content ordinarily decreased as the altitude increased, regardless of solvent type used in extraction. The result is a light to enhancing knowledge as to DES usage and its extraction efficiency of bioactive compounds for food applications. In addition, it gives better understanding of altitude effect on the content of bioactive compounds in walnuts.
AtıfScopus1WoS1İncele - MakaleYalnız künye2025Scopus SJRQ4Examination of Consumer Perceptions Regarding Productive Artificial Intelligence Applications: A Qualitative Study on the Case of ChatGPT
Cevher, Muhammed Fatih
This research intends to examine the perceptions of consumers who use artificial intelligence applications towards these applications and to examine the perceptions, preferences, and usage experiences of users towards artificial intelligence applications from the perspective of marketing and consumer behavior. In line with this purpose, the qualitative analysis method was picked as the analytical approach in the investigation. The sample consists of a total of 25 participants with different demographic characteristics who are experienced in artificial intelligence applications. The information gathered from the participants through interviews was analyzed through the MAXQDA statistical analysis program, and descriptive content analysis was performed. In the study’s findings, 8 different codes were identified, and the relationships between the codes were analyzed. “Speed,” ‘Benefit’ (perceived performance), and ‘Convenience’ (perceived ease of use) are the themes that stand out positively in consumers’ perceptions of productive artificial intelligence applications. On the other hand, “Distrust” (perceived risk) is a negative theme. The study’s findings reveal consumer perceptions and expectations by examining the rapidly developing artificial intelligence technology from the consumers’ perspective. This information obtained for consumers using artificial intelligence offers important solution suggestions for artificial intelligence developers and businesses. Furthermore, the findings obtained in this study provide a different perspective for future studies on this subject.
