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Koleksiyondaki öğeler
- MakaleYayıncıda açık erişim2024Scopus SJRQ2Mechanical and electrical faults detection in induction motor across multiple sensors with CNN-LSTM deep learning model
Ertargin, Merve; Yildirim, Ozal; Orhan, Ahmet
The utilization of monitoring sensors in machinery has led to the mainstream adoption of fault detection and diagnosis in time series data across various industrial applications. Deep learning techniques, specifically in constructing fault diagnosis models by extracting insights from historical equipment fault data, are receiving widespread attention as crucial tools in ensuring the safety and reliability of motor systems. In this study, a CNN-LSTM-based deep learning model is proposed for the detection of electric motor faults. Three distinct sets of accelerometer sensor data are provided as input to the model, enabling a comprehensive evaluation of its performance across various sensor configurations. The model demonstrated a remarkable capacity for generalization, achieving impressive accuracy rates of 99.96% for Accelerometer-1, 98.88% for Accelerometer-2, and 99.37% for Accelerometer-3. This underscores the robustness and adaptability of the proposed CNN-LSTM model in effectively detecting electric motor faults regardless of the specific accelerometer sensor employed.
AtıfScopus47OpenAlex38
İncele - MakaleAçık Erişim2024Scopus SJRQ3The effects of biosynthesized silver nanoparticle on oxidative stress parameters in model organism Artemia salina (Linnaeus, 1758)
Ünal, İlkay; Ertürk Gürkan, Selin
Evaluation of the effects of nanomaterials in various habitats and living groups is increasing with in vitro and in vivo studies. This study aims to describe a biological procedure to synthesize silver nanoparticles using an extract of Marrubium astracanicum and to determine the aquatic environment’s oxidative stress on Artemia salina. Silver nanoparticle formation was visually observed with color change. Its structural properties, such as size, shape, morphology, and stability, were characterized by UV-Vis spectrophotometer, TEM, SEM, XRD, and DLS analyses. TEM image showed that the synthesized AgNPs have a size of between 20 and 50 nm. The effects of biosynthesized silver nanoparticles at different concentrations (control,0.2, 1, 5, 10, 25, and 50 mg/mL) and exposure times (24, 48 and 72 h) on total glutathione (GSH) and lipid peroxidation levels (MDA) were investigated on the Artemia salina organism, which is one of the most common saltwater organisms frequently used in ecotoxicity tests.
AtıfScopus4WoS2OpenAlex3
İncele - MakaleAçık Erişim2025Scopus SJRQ4Comparison between traditional models and artificial neural networks as estimators of the growth of the Tigris scraper Capoeta umbla (Teleostei: Cyprinidae) in the Munzur River, Turkey; [Comparación entre modelos tradicionales y redes neuronales artificiales como estimadores del crecimiento del raspador del Tigris Capoeta umbla (Teleostei: Cyprinidae) en el río Munzur, Turquía]
Ozcan, Ebru Ifakat; Serdar, Osman
In this study, a comparison of traditional growth methods (lengthweight relationships and von Bertalanffy growth function) with artificial neural networks in growth models was carried out in the growth of 783 specimens of Capoeta umbla from the Munzur River, Turkey from September 2019 to May 2021. The lengthweight relationships of C. umbla W = 0.0085L3.013 R2=0.943 was determined for all individuals. The ages of the specimens were from 0 to 11 years old. The von Bertalanffy growth function was Lt = 46.15 [1-e-0.139 (t + 2.57)] and Wt = 856.32 [1-e-0.139 (t + 2.57)]3.013 for all individuals. Ф’ value was 2.471 all individuals. The training stopped and the best validation performance was fixed at 8.1473 × 10-5 at epoch 42. The validation checks were reached as 6, at epoch 48 and the gradient = 5.6566 × 10-5, at epoch 48. The target output R value was 0.98584 for training, 0.98969 for validation, 0.98757 for testing and 0.9868 for all. The calculated MAPE values were 0.140 and 0.578 for artificial neural networks, 1.168 and 2.726 for length–weight relationships, 5.721 and 4.013 for von Bertalanffy growth function, respectively. The calculated SSE values for length and weight were 0.0128 and 30.864 for artificial neural networks, 1.3985 and 350.786 for length–weight relationships. The results of the present show that artificial neural networks can be superior estimators than length–weight relationships and von Bertalanffy growth function. Therefore, artificial neural networks models are an effective tool to describe body weight and length in fish.
- MakaleAçık Erişim2024Scopus SJRQ1Late pleistocene glacial history of Mount Karadağ, SW Türkiye
Bayrakdar, Cihan; Çılğın, Zeynel; Sarış, Faize; Yeşilyurt, Serdar; Keserci, Ferhat; Büyükdeniz, Yusuf; Halis, Onur; Vockenhuber, Christof; Ivy-Ochs, Susan; Akçar, Naki
Glacial landforms in the southwestern part of the Anatolian Peninsula are found at lower elevations than the rest, suggesting that glaciers were present during the Late Pleistocene. Karadağ, located west of the Western Taurus Mountains, provides evidence of the climatic conditions that facilitated this extensive glaciation. It is characterized by numerous peaks exceeding 2300 m above sea level (asl), with the highest peak reaching 2418 m, making it the region's largest glaciation area. This high mountain mass is composed mainly of limestone and dolomite. This study focuses on the glacial landforms in Karadağ to reconstruct the Late Pleistocene glacial chronology and palaeoclimate of the Western Taurus Mountains. We employed detailed UAV photogrammetry, extensive fieldwork and mapping, surface exposure dating with cosmogenic 36Cl, meteorological measurements, palaeoglacier reconstruction, and palaeo-equilibrium line altitude (pELA) calculations. Karadağ, a topographic barrier to humid air masses from the Mediterranean Sea, ranks as the second wettest area in the Western Taurus Mountains. At a meteorological station we installed in Karadağ, an annual precipitation of 1700 mm or more was recorded, highlighting its significant precipitation. In Karadağ, we have identified two glacial valleys with a maximum length of 4.5 km and six cirques. The glaciers reached their maximum extent around 22.4 ± 2.8 ka during the Last Glacial Maximum (LGM), facilitated by the lowering of the pELA to 2090 m. During the LGM, the glaciers covered an area of approximately 3.5 km2 and reached a maximum thickness of about 140 m. Sample TRKR 10 at 2015 m probably belongs to the LGM period. Although a single sample does not conclude definitive conclusions, the presence of the moraine at its highest position indicates the maximum thickness of the glacier. Following the LGM, two more significant glacier advances occurred during the Lateglacial (15.5 ± 2.7 ka) and the Younger Dryas (12.4 ± 1.1 ka). During the late Pleistocene glaciations, and especially during the LGM, Karadağ probably received more precipitation than today, leading to the formation of glaciers at relatively lower elevations than on the Anatolian Peninsula.
AtıfScopus4OpenAlex10İncele - MakaleYalnız künye2023Scopus SJRQ2Chemical Characterization of Different Extracts from Artemisia annua and Their Antioxidant, Enzyme Inhibitory and Anti-Inflammatory Properties
Acquaviva, Alessandra; Nilofar; Bouyahya, Abdelhakim; Zengin, Gokhan; Di Simone, Simonetta Cristina; Recinella, Lucia; Leone, Sheila; Brunetti, Luigi; Uba, Abdullahi Ibrahim; Cakilcioğlu, Ugur
Artemisia annua L. (Asteraceae Family) is an important plant in Asia that has been used for treating different diseases, including fever due to malaria, wounds, tubercolisis, scabues, pain, convulsions, diabetes, and inflammation. In this study we aimed to evaluate the effects of different polarity extracts (hexane, dichloromethane, ethyl acetate, ethanol, ethanol/water (70 %) and water) from A. annua against the burden of inflammation and oxidative stress occurring in colon tissue exposed to LPS. In parallel, chemical composition, antiradical, and enzyme inhibition effects against α-amylase, α-glucosidase, tyrosinase, and cholinesterases were evaluated. The water extract contained the highest content of the total phenolic with 34.59 mg gallic acid equivalent (GAE)/g extract, while the hexane had the highest content of the total flavonoid (20.06 mg rutin equivalent (RE)/g extract). In antioxidant assays, the polar extracts (ethanol, ethanol/water and water) exhibited stronger radical scavenging and reducing power abilities when compared to non-polar extracts. The hexane extract showed the best AChE, tyrosinase and glucosidase inhibitory effects. All extracts revealed effective anti-inflammatory agents, as demonstrated by the blunting effects on COX-2 and TNFα gene expression. These effects seemed to be not related to the only phenolic content. However, it is worthy of interest to highlight how the higher potency against LPS-induced gene expression was shown by the water extract; thus suggesting a potential phytotherapy application in the management of clinical symptoms related to inflammatory colon diseases, although future in vivo studies are needed to confirm such in vitro and ex vivo observations.
AtıfScopus45OpenAlex43
İncele - MakaleAçık Erişim2023Scopus SJRQ1Numerical analysis of heat transfer and fluid flow in microchannel heat sinks for thermal management
Singupuram, Raghav; Alam, Tabish; Ali, Masood Ashraf; Shaik, Saboor; Gupta, Naveen Kumar; Akkurt, Nevzat; Kumar, Mukesh; Eldin, Sayed M.; Dobrotă, Dan
Electronic components used in a variety of applications, such as electronic devices, computers, automobiles, medical equipment, telecommunications, etc., can be effectively cooled using microchannel heat sinks (MHS). In this paper, a novel design of an MHS is presented, which can manage the heat load (dissipate the excess heat) and maintain the temperature of the MHS in the safe range. The passage of the MHS was modified with circular extruding ribs on the side wall of the passage. This technique in MHS was inspired by the study of heat transfer enhancement in heat exchangers. The effects of the sector angle of the circular protruding ribs ranging from 45° to 80° were studied in laminar flow (Re = 100–900). It was found that the maximum Nusselt number in the range of 7.26–64.11 was observed at sector angles of circular protrusion ribs of 80°. Also, the values of thermohydraulic performance parameter (THPP) are greater than one, which shows that the application of the proposed design for thermal management of MHS is reasonable and effective.
AtıfScopus41OpenAlex43İncele - BildiriYalnız künye2024Scopus SJRQ4Constructing the Criteria in Determining the Product Groups for Agriculture 4.0 Applications
Erdoğan, Melike; Konurhan, Zekeriya; Yücesan, Melih; Gül, Muhammet
With Agriculture 4.0, the use of techniques such as sensors, robots, artificial intelligence, and machine learning in agriculture has started. It is aimed to increase productivity in agriculture by reducing food loss and waste through Agriculture 4.0. It is a critical decision to determine which products should be handled first for Turkey to benefit from the advantages of Agriculture 4.0 as soon as possible compared to developed countries in the field of agriculture. At this point, the problem of which factors should be addressed in the determination of product & product groups arises. To handle this, in this study, a multi-criteria analysis has been applied to prioritize the factors that should be considered in the determination of the critical fruit and vegetable group for export, which should be considered as a priority within the scope of Agriculture 4.0. In this context, a multi-criteria analysis has been carried out by adopting the Bayesian Best Worst Method BWM (B-BWM), which is an improved version of a pairwise comparison-based BWM method and applied to group decisions. As a result of the analysis, the most important and least important criteria to be used in determining which products or product groups are more suitable for Agriculture 4.0 applications in Turkey and which should be invested in priority have been determined.
- MakaleYayıncıda açık erişim2024Scopus SJRQ2Controlling of electro-optical properties of cobalt phthalocyanine formed single chain polymer: Sudan III and nanographene based its composites
Demirelli, Kadir; Barım, Esra; Tuncer, Hülya; Dere, Ayşegül; Canbay, Canan Aksu; Karaduman, Oktay; Al-Sehemi, Abdullah G.; Al-Ghamdif, Ahmed A.; Yakuphanoğlu, Fahretttin
The synthesis of poly[4-(4-vinylbenzyl)oxy)phthalonitrile-co-styrene] [P(VBOPN5 %-co-St)] was carried out by free radical polymerisation at 60 °C. The successful formation of a green coloured single-chain polymer molecule with the formation of cobalt phthalocyanine (SCP-CoPc) was performed at 140–150 °C in the presence of dilute cyclohexanol. The characterization of SCP-CoPc was confirmed by FT-IR and UV/vis spectroscopic techniques. The absorption filtration process of the SCP-CoPc polymer/Sudan III composite was investigated. The introduction of Sudan III into the SCP-CoPc polymer matric strongly affected the optical transmission spectrum of the composite films. The optical transmission measurements of the SCP-CoPc/Sudan III thin film show a high absorption in the visible region (400–800 nm). In the SCP-CoPc/Sudan III composites, the optical band gaps (Eg1 and Eg2) of each of its components has changed significantly. The Eg1 and Eg2 were found to be between 1.90 and 2.83 eV, respectively. Depending on the sudan III content, a wide range from 600 nm to 730 nm indicates complete absorption filtration. The dc electrical conductivity and dielectric behavior of the SCP-CoPc/Nanografene (NG) 6 wt% nanocomposite increased with increasing temperature. From the dc conductivity plot, the Ea values of I. and II. regions were found to be 0.75 eV and 0.27 eV, respectively and it was found that the calculated activation energy obeyed the Arrhenius relationship. The refractive index and the optical permittivity of SCP-CoPc/NG 6 wt% have been estimated.
AtıfScopus2OpenAlex3İncele - MakaleAçık Erişim2023A new approach based on convolutional neural network and feature selection for recognizing vehicle types
Doğan, Gürkan; Ergen, Burhan
The number of vehicles used in traffic life has reached enormous dimensions today. The increase in the number of vehicles day by day causes some traffic problems along with it; such as traffic congestion, accidents, pollution, and safety. To overcome all these problems, convolutional neural networks (CNN) methods are one of the trend methods used in recent years due to their success. In this study, a new approach is proposed to use this power of CNN in low-power devices. First of all, MobileNetv1, MobileNetv2, and NASNetMobile models were optimized to increase accuracy performance. Then, an approach is proposed in which these optimized mobile CNN approaches are used only as feature extractors, and methods such as combining, selecting, and classifying the obtained features are used together. As a result of the classification made with this approach, the classification accuracy has increased by approximately 5%.
AtıfScopus10OpenAlex12İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ4The effect of Dimethoate on oxidative stress and antioxidant responses of Pontastacus leptodactylus; [El efecto del dimetoato sobre el estrés oxidativo y las respuestas antioxidantes de Pontastacus leptodactylus]
Aydın, Ayşe Nur; Bulut, Hilal; Serdar, Osman
Dimethoate (DMT) pesticide is one of the chemicals used to protect some agricultural areas from harmful organisms. DMT residues released directly or indirectly to the environment cause serious problems in nature. DMT residues mixed with the aquatic environment adversely affect aquatic organisms and this effect is carried to humans through the food chain. In this study, oxidative stress responses induced by DMT pesticide in Pontastacus leptodactylus were investigated. For this purpose, oxidative stress and antioxidant parameters Thiobarbituric acid reactive substances (TBARS), Glutathione (GSH), Superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPX) caused by dimethoate (DMT) pesticide in P. leptodactylus at 17.5, 35, and 70 mg·L-1 concentrations at 24 and 96 hours were investigated. Results were determined using ELISA kits. No significant difference was observed in GSH levels and SOD activities compared to control. Statistically significant differences were observed between decreases in CAT and GPx activities and increases in TBARS levels. SPSS 24.0 package program one–way ANOVA (Duncan 0.05) was used in the evaluation of biochemical analyzes. As a result, it was determined that DMT caused oxidative stress formation in P. leptodactylus and caused changes in enzyme activities.
AtıfScopus1WoS1İncele - MakaleAçık Erişim2024Scopus SJRQ1A new hybrid mobile CNN approach for crosswalk recognition in autonomous vehicles
Doğan, Gürkan; Ergen, Burhan
While automobile transportation is increasing worldwide, it also negatively affects the safety of road users. Along with the neglect of traffic rules, pedestrians account for 22% of all highway traffic deaths. Millions of pedestrians suffer non-fatal injuries from these accidents. Most of these injuries and deaths occur at crosswalks, where the highway and pedestrians intersect. In this study, deep learning-based a new hybrid mobile CNN approaches are proposed to reduce injuries and deaths by automatically recognizing of crosswalks in autonomous vehicles. The first of these proposed approaches is the HMCNet approach, which is a hybrid model in which the MobileNetv3 and MNasNet CNN models are used together. This model achieves approximately 2% more accuracy than the peak performance of the lean used MobileNetv3 and MNasNet models. Another proposed approach is the FHMCNet approach, which increases the success of the HMCNet approach. In the FHMCNet approach, LSVC feature selection method and SVM classification method are used in addition to HMCNet. This approach increased the classification success of HMCNet by more than approximately 2%. Finally, the proposed FHMCNet offered approximately 3% more classification accuracy than state-of-the-art methods in the literature.
AtıfScopus10WoS7OpenAlex8İncele - MakaleAçık Erişim2025Scopus SJRQ2Maximizing performance in child footballers: chronotype and time of day study
Kaba, Ilknur; Engin Çelikel, Baha; Adanur, Oğuzhan; Yılmaz, Coşkun; Yonca Sezer, Süreyya; Tan, Çetin; Durhan, Tebessüm Ayyıldız; Özer, Uğur; Ceylan, Tülay
Background: A limited number of studies have investigated the effects of circadian rhythm-based running exercise interventions on physical fitness in child athletes. This study aimed to investigate the effects of an eight-week morning and evening running program on lower extremity strength, agility and respiratory function in 10–12-year-old male footballers. Methods: Participants visited the laboratory three times, with one-day intervals before and after the training program. The assessments included maximal inspiratory pressure (MIP), maximal expiratory pressure (MEP), forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and the FEV1/FVC ratio. Additionally, agility and functional performance tests (FPTs) were conducted for both the dominant and non-dominant legs. Results: The findings indicated that morning running was more effective than evening running in enhancing respiratory function. Morning running also showed superior results in lower extremity strength tests, particularly in the single-leg (SL) and triple-leg (THD) crossover hop for distance tests (CHDs) and the 6-m timed-hop test (6 m THT). Furthermore, the agility performance of the morning running group was significantly better than that of the evening and control groups. Conclusion: Consequently, morning running interventions had a positive impact on key physical fitness parameters, including respiratory muscle strength, respiratory function, agility, and lower extremity strength in child footballers.
- MakaleAçık Erişim2023Scopus SJRQ1Body appreciation around the world: Measurement invariance of the Body Appreciation Scale-2 (BAS-2) across 65 nations, 40 languages, gender identities, and age
Swami, Viren; Tran, Ulrich S.; Stieger, Stefan; Aavik, Toivo; Ranjbar, Hamed Abdollahpour; Adebayo, Sulaiman Olanrewaju; Afhami, Reza; Ahmed, Oli; Aimé, Annie; Akel, Marwan
The Body Appreciation Scale-2 (BAS-2) is a widely used measure of a core facet of the positive body image construct. However, extant research concerning measurement invariance of the BAS-2 across a large number of nations remains limited. Here, we utilised the Body Image in Nature (BINS) dataset – with data collected between 2020 and 2022 – to assess measurement invariance of the BAS-2 across 65 nations, 40 languages, gender identities, and age groups. Multi-group confirmatory factor analysis indicated that full scalar invariance was upheld across all nations, languages, gender identities, and age groups, suggesting that the unidimensional BAS-2 model has widespread applicability. There were large differences across nations and languages in latent body appreciation, while differences across gender identities and age groups were negligible-to-small. Additionally, greater body appreciation was significantly associated with higher life satisfaction, being single (versus being married or in a committed relationship), and greater rurality (versus urbanicity). Across a subset of nations where nation-level data were available, greater body appreciation was also significantly associated with greater cultural distance from the United States and greater relative income inequality. These findings suggest that the BAS-2 likely captures a near-universal conceptualisation of the body appreciation construct, which should facilitate further cross-cultural research.
AtıfScopus108OpenAlex109İncele - MakaleAçık Erişim2023Scopus SJRQ2Silver and Copper Coating Effects on Surface Morphology, Crystal Structure and Corrosion Behavior of NiTinol Shape Memory Alloy Plate
Say, Yakup; Kanca, Muhammed Sait; Kök, Mediha
NiTinol alloy has recently been in high demand in biomaterials applications due to its excellent superelasticity and shape memory properties. This demand has increased the studies on improving the negative properties of the NiTinol alloy, even if it is less. In this study, it was aimed to coat the nickel element in the NiTi alloy with biocompatible elements in order to prevent it from secreting its toxic effect after its implantation into the body. In accordance with this purpose, NiTi shape memory alloys were coated with silver and copper element by using thermal evaporation system, and the surface morphology of the alloys after coating was investigated by SEM–EDX (Scanning Electron microscope), and AFM (Atomic force Microscope). After the measurements, it was observed that the coating was successful and homogeneously distributed on the entire surface of the alloy. In addition, an important and positive result was that, the roughness value of the NiTi alloy was decreased with the coating. The change in the crystal structure of the uncoated and coated NiTi alloy was evaluated using an X-ray device, and it was observed that the silver and copper element peaks were formed along with the B2 phase, which is the main phase of the NiTi alloy. In order to examine the effect of coating on the biocompatibility of NiTi alloy, electrochemical test was performed by rapid measurement method in simulated body fluid and corrosion behavior was investigated. According to these experiments, it was concluded that silver plating is more successful in term of biocompatibility than copper coating.
AtıfScopus4WoS3OpenAlex4İncele - MakaleAçık Erişim2024Scopus SJRQ3Effect of Insect Feed on Fish Growth: A Review
Chatha, Ahmad Manan Mustafa; Naz, Saima; Danabas, Durali
The demand for sustainable and efficient protein sources in aquaculture has led to an increasing interest in exploring alternative feeds for fish. In recent years, insects have emerged as a promising option due to their nutritional value, economic viability, and potential to alleviate the environmental impact of traditional fish meals. This review critically examines the existing literature on the effect of insect feed on fish growth. Through a comprehensive analysis of relevant studies, we evaluate the performance of fish fed with insect-based diets compared to those fed with conventional feeds. The review encompasses various insect species, feed formulations, and fish species, providing insights into the factors influencing growth outcomes. Our findings highlight the potential benefits and challenges of incorporating insect-based feeds in fish farming practices, with implications for sustainable aquaculture and food security. By synthesizing current knowledge, this review aims to guide future research and decision-making processes for optimizing fish nutrition and production while promoting ecological sustainability.
AtıfScopus7OpenAlex5İncele - MakaleYalnız künye2024Scopus SJRQ1Modeling of Optimal Power Generation in Small Hydropower Plants
Kahraman, Gokhan
Small hydropower plants (SHPs) have gained international attention as a reliable and versatile renewable energy source. Unfortunately, this energy source is not used efficiently. This is because these systems utilize headwaters with lower water capacity called forebays instead of large water reservoirs like dams. Since this hinders the control of electricity generation, the headwater is either wasted before it can be converted into electricity or it is exhausted very quickly and electricity generation stops after a short time. The aim of this study is to prevent the loss of electricity generation through the efficient use of SHP headwater. For this purpose, a mathematical model was created based on two SHPs operating in tandem. The mathematical model obtained was analyzed, and forebay water level simulation graphs for electricity generation at water flowrates of 2000, 4000, 6000, and 8000 kg/h were obtained. With the help of the obtained graphs, critical wicket gate openings for maximum electricity generation at flowrates of 2000, 4000, 6000, and 8000 kg/h were calculated. The results of this study are applicable to all SHPs. These results are also promising in terms of optimizing the use of a renewable energy source.
AtıfScopus7WoS6OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ1Characteristics of Hozat apricot seed oil as a new source of oilseed
Aydin, Çağlar Mert
There has been an increase in apricot consumption due to its high bioactive and fiber content. However, the seed, inside part of the fruit, is considered as a food waste. In this study, potential usage of apricot seeds (bitter and sweet), that were cultivated in Hozat region- Tunceli, as an alternative oil source was evaluated. No comprehensive research has been undertaken to assess the seeds as an oil source before. In assessing its suitability for consumption, proximate composition of seed and physicochemical properties of the seeds’ oil had been determined. The proximate composition included the content of protein, ash, moisture, oil and the acidity as pH, in addition; iodine value, refractive index, nutritional quality, total phenolic content, antioxidant content, fatty acid composition and rheological properties of the oil were determined. Also, the effect of variety on them was examined. Overall, oil content was found to be the major component of the seed, thus the seed is good enough to be used as an oil source. Five different fatty acids were identified in the oil, that produced from the seed. These were palmitic, heptadecanoic, oleic, linoleic and linolenic acid. The oil had a refractive index between 1.4617 and 1.4628, iodine value between 100.47 and 102.11 gms, total phenolic content between 0.83 and 1.29 mg GAE g−1 oil, antioxidant activity between 11.21 and 11.60 mg TE g−1 oil for DPPH assay and 7.92–8.20 mg TE g−1 oil for ABTS assay, and apparent viscosity of 0.04 Pa.s. Moreover, viscous flow tests showed that the oil has a Newtonian flow behavior, and the nutritional indexes, that include unsaturated, atherogenicity, thrombogenicity and hypocholesterolemic/ hypercholesterolemic ratio, indicated that the oil is good enough for consumption as an oil source. The variety was found to have a significant effect on total phenolic content, antioxidant activity and refractive index of the oil, that was produced from apricot seed.
AtıfScopus4WoS4OpenAlex4İncele - MakaleYalnız künye2024Scopus SJRQ2Seasonal Monitoring of Heavy Metal Pollution in Water and Zebra Mussels Dreissena polymorpha as a Potential Bioindicator Species from Lake Habitat
Kutluyer Kocabaş, Filiz; Başaran, Ertuğrul; Kocabaş, Mehmet
In aquatic ecosystem, metal pollution is an important environmental hazard. Mussels as a bioindicator species are often used for assessment the presence of potentially toxic metals. Hence, the present study aimed to assess the effect of seasonal variations on some heavy metals (Cd, Cr, Pb, As, Zn and Cu) accumulation in water and Dreissena polymorpha from lake habitat. Our result indicated that Zn accumulated at a very high level in the zebra mussels while As accumulated at a high level in water samples. Seasonal variations significantly affected Cu concentration in the water samples (P < 0.05) while Cr concentration in the mussel samples was significantly affected by seasonal variations (P < 0.05). According to the water analysis, mean concentrations of metals are below the maximum limits established by the World Health Organization and USEPA, except As. Overall, our data emphasize anthropogenic pollution in the Turkish aquatic environment and confirm the use of D. polymorpha as a prospective biomonitor for metal polluted sites’.
AtıfScopus3WoS2OpenAlex4İncele - Kitap BölümüYalnız künye2024Possible Interaction of PVC with Micro-and Nano-fillers
Guler, Seval Hale; Simsek, Tuncay; Guler, Omer; Dikici, Burak
Undoubtedly, polyvinyl chloride (PVC) is one of the most produced synthetic polymers globally and is used in all areas of life. Its general structure consists of hydrocarbon and chloride as well known. The main reasons for its widespread use in our life are low production cost, high mechanical strength, and chemical stability. The PVCs have significant problems such as low thermal resistance or weak impact strength. Thus, nowadays, the current studies are noteworthy on the PVC-matrix composites reinforced with micro-/nano-based fillers. The primary purpose of this studies improves the mechanical, physical, or chemical properties of PVC. Of course, the essential feature of a composite structure is the matrix/reinforcement interface and its interactions. In addition to the production method, the selection of matric and reinforcement fillers is the main factor affecting the adhesion and interactions between the interface. In this chapter, an overview of the possible interaction of PVC with micro- and nano-fillers is presented.
AtıfScopus4OpenAlex5İncele - MakaleYalnız künye2023Scopus SJRQ1A holistic failure modes and effects analysis for university plastic injection laboratory under Bayesian Network
Yucesan, Melih; Gul, Muhammet; Pamučar, Dragan
University Research & Development (R&D) laboratories are facilities used for research and manufacturing activities in engineering and basic science fields. Various filling materials are used in plastic R&D laboratories to improve the mechanical properties of thermoplastics or to recycle waste materials. The use of filling materials causes changes in plastic production parameters. This study dealt with the risks arising from extrusion, injection and shredder in a plastic injection laboratory, which led to the inability to manufacture the appropriate product under a holistic methodology. The proposed holistic methodology merges the concepts of failure mode and effects analysis (FMEA), fuzzy best-worst method (FBWM), and a rule-based three-hierarchical Bayesian network (RB-THBN). First, 15 root risks have been identified under a three-stage hierarchy with the support of laboratory decision makers. Then, questionnaires were created using the FMEA concept. The importance values (degree of belief-DoB) of three different FMEA parameters (severity, occurrence and detection) by experts for each risk have been calculated with FBWM. And finally, the RB-THBN has been created, and the final risk values have been computed using the linear utility function for the network. The system has been analyzed via a Bayesian modeling software. A validity test and a control measures planning has also been executed. According to the results, the highest root risk has been determined as “E2-The prepared mixture is not homogeneous” with a crisp risk score of 0.639559. In addition, “Failure due to extrusion” has been determined as the highest risk category with a score of 0.564059. It was discussed in detail that these risks arise from homogenization and how the used mixture should be homogenized. A comparative study among traditional FMEA, FMEA extended under FBWM and the proposed approach is performed to observe the differences in final ranking of root risks and to highlight the arguments that strengthen the advantages of the proposed method over the other two.
AtıfScopus7WoS7OpenAlex8İncele
