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Koleksiyondaki öğeler
- MakaleYalnız künye2023Scopus SJRQ1In-vitro corrosion and surface properties of PVD-coated β-type TNTZ alloys for potential usage as biomaterials: Investigating the hardness, adhesion, and antibacterial properties of TiN, ZrN, and CrN film
Ali, L.A.; Dikici, B.; Aslan, N.; Yilmazer, Y.; Sen, A.; Yilmazer, H.; Niinomi, M.
In this study, the corrosion and surface properties of non-toxic and non-allergenic β-type Ti–29Nb–13Ta–4.6Zr alloys (TNTZ) coated with TiN, ZrN, and CrN layers using the PVD technique were investigated under in-vitro conditions. The coatings' hardness, adhesion resistance, and antibacterial properties were also studied, with a focus on their potential usage as biomaterials. The corrosion tests were conducted using potentiodynamic polarization, the hardness tests were conducted using the Knoop method, and the adhesion tests were conducted using pull-off tests. The wetting properties of the coatings were examined through contact angle and 3D morphological analysis. The coatings were characterized using SEM-EDS and XRD. The results showed that the adhesion resistance of all coatings was significantly higher than the expected adhesion strength for biomaterial coatings, while their corrosion resistance was higher compared to the uncoated alloy. Besides, the study demonstrates the potential of TiN, ZrN, and CrN coatings on β-type TNTZ for use as a biomaterial with desirable surface and antibacterial properties.
AtıfScopus29OpenAlex27
İncele - MakaleYalnız künye2024Scopus SJRQ2A risk assessment model with dependent failure modes for the manufacturing and design processes of medical equipment
Lo, Huai-Wei; Gul, Muhammet; Yucesan, Melih; Liaw, Ching-Fang
The reliability of medical equipment is paramount for surgical success. Manufacturers are continuously exploring risk assessment and improvement strategies to prevent equipment malfunctions during surgery. Failure mode and effects analysis (FMEA) can primarily be divided into two types: DFMEA (Design FMEA) and PFMEA (Process FMEA). Traditional FMEA serves as a practical tool for identifying and prioritizing key failure modes (FMs). However, past FMEA research has overlooked the interdependencies among FMs, treating them as independent entities, which does not align with real-world operations. This paper introduces a groundbreaking risk dependency assessment model aimed at addressing the influential relationships among FMs. The modified technique for defining the influential relationship of failure modes (modified TEDIR-FMs) is developed to compute the relative risk scores of different FMs accurately. At its core, this paper integrates concepts from multiple criteria decision-making (MCDM) techniques into FMEA, with a particular focus on the interdependencies of failure modes in the manufacturing and design manufacturing processes of medical equipment. The model’s application is demonstrated through a case study on a medical device for hernia surgery. The introduction of modified TEDIR-FMs not only enhances the accuracy of risk assessments but also offers a fresh perspective on risk management within the design and manufacturing processes. The research results indicate that the three failure modes with the highest risk are “adhesive does not deploy or only partially deploys from the dispenser,” “the mesh does not adhere to the adhesive,” and “the adhesive drips from the tip.” In the manufacturing and design processes of this device, greater attention should be given to improving the adhesive components.
AtıfScopus5WoS4OpenAlex2İncele - MakaleAçık Erişim2023Scopus SJRQ1Integrating stratified best–worst method and GIS for landslide susceptibility assessment: a case study in Erzurum province (Turkey)
Konurhan, Zekeriya; Yucesan, Melih; Gul, Muhammet
Landslides are among the most destructive geological disasters that seriously damage human life and infrastructures. Landslides mainly occur in mountainous regions around the world. One of the key processes to reduce these damages is to uncover landslide-exposed areas through different data-driven methods such as Geographical Information System (GIS) and multi-criteria decision-making (MCDM). In the literature, there are many studies developed with these fundamental tools. In this study, unlike the literature, a new landslide susceptibility assessment model is proposed by integrating GIS with the stratified best–worst method (S-BWM). This model has four main dimensions and 16 sub-dimensions under topography, environment-land, location, and hydrological factors, weighted with the S-BWM. A network was created considering the different states that may arise in the importance weights of these dimensions in the future. The transition probabilities of these states were predicted and injected into the classical BWM. Then, maps were created for these dimensions and classifications for each sub-dimension according to the map characteristics. Finally, the most susceptive landslide locations were determined with GIS-based calculations. To demonstrate the model’s applicability, a case study was conducted for the Erzurum region, one of Turkey’s landslide-prone regions. In addition, besides the landslide map, an analysis and discussion about the spatial distribution of susceptibility classes was presented, contributing to the study’s robustness. In the results of landslide susceptibility analysis, landslides are higher in the range of about 1600–2500 m. Approximately 42% (35.59 sq. km) of the study area has high landslide susceptibility, while 58% (64.41 sq. km) has medium and low landslide susceptibility.
AtıfScopus19WoS17OpenAlex18
İncele - MakaleYalnız künye2024Scopus SJRQ1A comprehensive risk assessment framework for mooring risks at hydrocarbon berths using fuzzy rule-based Bayesian network and multi-attribute decision-making
Demirel, Hakan; Başhan, Veysi; Yucesan, Melih; Gul, Muhammet
Mooring operations -especially at hydrocarbon berths- are critical components of the marine and offshore industry. They usually involve securing the berths of ships carrying valuable cargo and ensuring the safety of personnel, assets, and the environment. For this purpose, a comprehensive risk assessment framework for mooring operations at hydrocarbon berths is proposed in this study. This framework helps evaluate risks using a rule-based Bayesian network. In the assessment of mooring risks, four risk parameters of severity, occurrence, detection, and maintenance are considered to construct the BN structure of each mooring risk. These parameters are weighted with the aid of the fuzzy Best Worst Method. Hereafter, a fuzzy rule-based system is constructed by incorporating BN to determine a risk priority score. The framework also develops mitigation strategies to maintain effective risk management for safe and secure maritime transportation. Sensitivity analyzes and comparison studies were conducted to test the validity of the proposed comprehensive risk management framework. The study reveals that the most critical risk is associated with Technical Failures (Q1) in the cluster pertaining to the automation of Quick Release Hooks. This risk stems from technical malfunctions in automation systems, encompassing sensors and control mechanisms, potentially resulting in the unintended release of mooring lines. The second highest priority risk is linked to Human Error (M1) in the mooring risks cluster, attributed to human errors such as inadequate training, miscommunication, and procedural mistakes during mooring operations, posing risks of accidents and damage to ships and infrastructure. Conversely, the least significant risk, Redundancy (Q5), focuses on redundancy. This risk is associated with automation and underscores the importance of implementing redundancy mechanisms to ensure the safe continuation of mooring operations in the face of system failures. In conclusion, the proposed comprehensive risk assessment framework offers a systematic approach to evaluate and prioritize mooring risks at hydrocarbon berths. The study’s findings emphasize the critical importance of addressing technical malfunctions in the automation of Quick Release Hooks and human errors during mooring operations. By identifying the most significant risks and developing mitigation strategies, this framework contributes to enhancing the safety and security of maritime transportation, particularly in the context of hydrocarbon berths.
AtıfScopus11WoS11OpenAlex13İncele - MakaleAçık Erişim2024Scopus SJRQ1Application of electrocoagulation process for the disposal of COD, NH3-N and turbidity from the intermediate sanitary landfill leachate
Ogedey, Aysenur; Oguz, Ensar
This study aims to determine the COD, NH3-N and turbidity disposal efficiencies from leachate in the Bingöl landfill and highlight the electrocoagulation (EC) process’s performance in removing these pollutants. After establishing that landfill leachate was intermediate aged, its characteristics were identified using physical, chemical and elemental analyses. Six parallel-connected electrode plates with stainless steel as the cathode and aluminium as the anode were used to construct an electrocoagulation cell. After a 40-min treatment interval, the optimal disposal efficiencies for COD and turbidity from the leachate were determined to be 87% and 62%, respectively, at pH 5. Following a 40-min reaction, BOD5 concentration and BOD5/COD ratio were determined to be 85.75 mg O2/L and 0.64, respectively, at pH 5. At a NaCl concentration of 10 mM, the optimum disposal efficiency for NH3-N was determined to be 33%. The reaction kinetics matched pseudo-first-order (PFO) kinetics due to high correlation coefficients (R2 = 0.93–0.99) in removing COD, NH3-N and turbidity under different experimental conditions. The optimal reaction rate constants were determined as 2.93 × 10−2 min−1, 1.92 × 10−2 min−1 and 7.3 × 10−3 min−1 for the disposal of COD, NH3-N and turbidity, respectively. Energy consumption, unit energy consumption and total consumption cost rose in the EC process when the current density was augmented from 15 to 25 mA/cm2.
AtıfScopus14WoS11OpenAlex12İncele - MakaleAçık Erişim2025Predicting shear strength in reinforced concrete deep beams through finite element modeling of diverse concrete materials
Polat, Erkan; Karaman, Gökhan
This study investigates the prediction of the strength of reinforced concrete deep beams, critical components in urban infrastructure, by evaluating their load-carrying capacities through finite element modeling and nonlinear inelastic analyses using LSDYNA software. Four widely used concrete material models were examined: Mat084/085, Mat159, Mat072R3, and Mat016. Analyses were conducted on two single-span and four double-span beams with varying reinforcement configurations and an aspect ratio of 1.0, based on well-documented experimental setups. Comparative analyses of force-displacement behavior and stress distributions revealed significant differences in shear strength predictions across the models, with Mat159 providing the most accurate results. These findings establish a reliable and cost-effective approach for predicting the capacities of deep beams, reducing reliance on extensive experimental testing. The study contributes valuable insights for improving strength predictions in critical infrastructure applications such as bridges and foundations.
AtıfScopus2TR Dizin2
İncele - MakaleYalnız künye2024Scopus SJRQ1An experimental investigation of the flow control of a circular cylinder in near wake with parallel plates at Re = 7500
Durhasan, Tahir; Ekinci, Fırat; Firat, Erhan; Akilli, Huseyin
The vortex street suppression in the near wake region of the cylinder with parallel plates was investigated using particle image velocimetry (PIV) at Reynolds number of Re = 7500. The rigid plates are designed as flat, parallel with the free-stream direction, and located on both sides of the cylinder. Two different plate lengths (0.5D and 1D based on the cylinder diameter, D) were examined at gap ratios of g/D = 0.1, 0.3, 0.5, 0.7, and 0.9, respectively. Proper Orthogonal Decomposition (POD) analyses were also employed to reveal vortex mechanism in the near wake region. The gap ratio significantly influences the interaction of the vortices. At low gap ratios, the plates directly affect the development of shear layers on both side of the cylinder. The shear layers elongate downstream with a reduction of the vortex shedding frequency. Moreover, Reynolds shear stress, vortex shedding instabilities and vortex street are suppressed in the near wake region with the help of using parallel plates. On the other hand, vortex shedding reinforces instabilities at higher gap ratios. Besides, the most effective gap ratio is different for each the plate lengths to suppress instabilities.
AtıfScopus9WoS8OpenAlex9İncele - MakaleAçık Erişim2024Scopus SJRQ3Evaluation of the Effect of Temperature on the Toxicity of Lambda-Cyhalothrin in Dreissena Polymorpha Using some Biochemical Biomarkers; [Vrednotenje vpliva temperature na toksičnost Lambda-cihalotrina v modelnem organizmu Dreissena Polymorpha z uporabo biokemijskih označevalcev]
Yildirim, Nuran Cikcikoglu; Serdar, Osman; Ketenalp, Zozan
Due to increasing climate change, it has become important to determine whether the dose-response relationship of organisms to some substances is affected by temperature. For this reason, in this study, it was aimed to reveal the effect of the temperature variable on the toxic response using the Dreissena polymorpha model organism and some of its biomarkers. For this purpose, acetylcholinesterase (AChE), catalase (CAT), superoxide dismutase (SOD), glutathione (GSH) and malondialdehyde (MDA) levels in Dreissena polymorpha exposed to subletal concentrations of λ-cyhalothrin at different temperatures were measured using commercial ELISA kits. According to the results obtained, there was a statistically significant increase in MDA levels in the groups exposed to λ-cyhalothrin, while a decrease in GSH levels was found. AChE levels were inhibited especially in the groups exposed high concentrartion of λcyhalothrin. It was also found that the inhibition levels increased depending on the application times. While SOD enzyme activity decreased, CAT enzyme activity increased depending on the exposure concentration. It has been observed that different temperature have different effects on the toxicity of λ-cyhalothrin. It was observed that λ-cyhalothrin caused oxidative stress and neurotoxicity, and the toxicity of λ-cyhalothrin changed depending on the temperature.
- MakaleYalnız künye2023Scopus SJRQ2Ternary hybrid nanofluids flow on a spinning disk with nonlinear thermal radiation
Gohar; Saeed, Anwar; Alyami, Maryam Ahmed; Akkurt, Nevzat; Khan, Tahir Saeed; Gul, Taza
Researchers are interested in the thermophysical properties of nanofluids because of the successful use of nanofluids in state-of-the-art technology and engineering. Hence, hybrid and tri-hybrid nanofluid is used to ensure the required thermal features. An incompressible ternary hybrid nanofluid (NF) flow comprised of (Al2O3) aluminum oxide, (CuO) copper oxide, and (TiO2) titanium dioxide nanoparticles across an impermeable infinite spinning disc are addressed in the present study. The magnetic field and second-degree thermal radiation were used in the proposed model. The main aim of this assessment is to raise the consciousness of energy exhaustion in the industrial and technical sectors. The numerous applicability of ternary nanoparticles (NPs) make the proposed model more plausible, such as, Al2O3 has society-enhancing and life-extending applications, CuO has unique electrical, optical, and magnetic properties, while TiO2 is excessively used in plastic and paper production. For this purpose, the sensations have been expressed in the form of differential equations and the consequences are obtained using the homotopy analysis method (HAM). The graphics and statistical outcomes of the analytical simulation of the proposed model are reported through Figures and Tables.
AtıfScopus14WoS14OpenAlex15İncele - MakaleYalnız künye2024Scopus SJRQ3Functionalized and Ag-Loaded Nano-Delivery System for Doxorubicin: Loading, Controlled Release and Kinetic Studies
Aydogdu, Burcu; Kaplan Ince, Olcay; Ince, Muharrem; Unal, Ilkay
Multi-walled carbon nanotubes (fMWCNTs) that functionalized and loaded Ag nanoparticles (AgNPs) were investigated to adsorp doxorubicin hydrochloride (DXR). DXR release behavior efficiency was determined using kinetic studies. DXR agent was treated into fMWCNTs@AgNPs material with different drug loading rates. The material was successfully established and characterized using transmission electron microscopy, and fourier transform–infrared spectroscopy. Thermogravimetric analysis was performed to elucidate the effect of temperature on mass loss and X-ray diffraction analysis was systematically assessed the crystalline state of DXR. Various kinetic models including Higuchi, Baker Hixson-Crowell, and power-law were applied. It was revealed that DXR has more binding affinity to the fMWCNTs@AgNPs material system surface as a nanocarrier at pH 7.4 and showed more release at pH 5.0. Functionalized material confirmed its efficiency as pH-based drug delivery system. Used material can be utilized as promising nanocarriers, and findings will contribute to the rational design of novel delivery tools for drugs.
- MakaleYalnız künye2023Scopus SJRQ2Antibacterial activity of novel synthesized chitosan-graft-poly(N-tertiary butylacrylamide)/neodymium composites for biomedical application
Yazdıç, Ferit Can; Karaman, Altuğ; Torğut, Gülben; Ayhan, Nagihan Karaaslan
In this present study, composites of chitosan-graft-poly(N-tertiary butylacrylamide) (CH-graft-poly(N‑tert‑BAAm)) copolymer, with Neodymium (Nd), an important rare earth element, were prepared by precipitation technique. Nd was successfully incorporated into the polymer of different weight percentages (0.5%, 1%, and 2%) without any degradation. The effect of neodymium additives on the structural, morphological, and antibacterial activities against gram-positive bacteria and gram-negative bacteria of the polymer was analyzed using various instrument techniques. X-ray diffraction (XRD) results together with Fourier Transform Infrared (FT-IR), scanning electron microscopy (SEM), and energy dispersive spectroscopy (EDS) studies confirmed the morphology of Nd-doped CH-graft-poly(N‑tert‑BAAm) composites without any other impurities. The antibacterial effect of Nd was studied by adding it to the copolymer in a weight ratio of 0.5%–2%. The antibacterial effect of neodymium concentration on four different strains of bacteria was investigated: Escherichia coli (ATCC 25922) (E. coli), Pseudomonas aeruginosa (DSM 50071) (P. aeruginosa), Bacillus subtilis (DSM 1971) (B. subtilis), and Staphylococcus aureus subsp. aureus (ATCC 25923) (S. aureus). The antibacterial activities of the obtained composites were determined using the Agar Well Diffusion Assay Method. Experimental results show that Nd binds well to CH-graft-poly(N‑tert‑BAAm). Activity against E. coli, P. aeruginosa, B. subtilis, and S. aureus subsp. aureus creates a potential for pharmaceutical and biomedical applications.
AtıfScopus8WoS7OpenAlex8İncele - DüzeltmeAçık Erişim2024Scopus SJRQ1Correction to: Influence of Plastic Deformation and Hydroxyapatite Coating on Structure, Mechanical, Corrosion, Antibacterial and Cell Viability Properties of Zinc Based Biodegradable Alloys (Metals and Materials International, (2024), 30, 12, (3320-3337), 10.1007/s12540-024-01710-z)
Aksakal, B.; Isın, Ege; Aslan, N.; Cihangir, S.; Sezek, S.; Yilmazer, Yasemin
In the original version of this article, co-author ‘Yasemin Yilmazer’ name was missed to add in the author group. The correct order of author names should read as ‘B. Aksakal · Ege Isın · N. Aslan · S. Cihangir · S. Sezek, Y. Yilmazer’. The affiliation details of Yasemin Yilmazer are ‘Department of Molecular Biology and Genetics Sabahattin Zaim University, Istanbul, Turkey yaseminyilmazer14@gmail.com’. The original article has been corrected.
- MakaleAçık Erişim2025Scopus SJRQ1Muay Thai exercises improve quality of life, love of life and self-control
Şahin, Oktay; Yılmaz, Coşkun; Sezer, Süreyya Yonca; Şahin, Fatma Neşe; Ceylan, Levent; Çelikel, Baha Engin; Tan, Çetin; Akkuş Uçar, Mine; Kirikoğlu, Nagihan
Background: The existing research on Muay Thai sports has focused predominantly on the physiological effects of training, with limited attention devoted to the study of quality of life, love of life and self-control. The present study examined the effects of Muay Thai exercises on quality of life, love of life and self-control scores in healthy male subjects. Methods: The present study comprised 50 healthy sedentary male subjects. The subjects were randomly divided into two groups: one group engaged in Muay Thai training (MTT), while the other group served as a control group (CON). The sample sizes for the MTT and CON groups were both 25. The MTT group participated in basic Muay Thai training, while the CON group continued their normal life regime. The SF-12 quality of life scale, love of life scale and multidimensional self-control scale were administered before and after the six-week training period. Results: The study concluded that the six-week Muay Thai training program had a significant effect on quality of life levels, with 13.23% (p = 0.003) and 21.93% (p < 0.001) of participants demonstrating improvements in physical and mental scores, respectively. In terms of self-control levels, the program was found to have a significant effect on initiation and inhibition scores, with increases of 23.78% (p = 0.001) and 24.69% (p < 0.001), respectively. It was concluded that had a significant effect on the sub-dimensions of the Love of Life scale with increases of Positive Attitude Toward Life (PAWL) 18.63% (p < 0.001), Happy Results of the Love of Life (HRLL) 20.11% (p < 0.001) and Meaningfulness of Life (ML) 15.62% (p < 0.001), respectively. However, no significant differences were detected in any of the scales within the control group. Conclusion: Muay Thai exercises had a positive effect on quality of life, love of life and self-control levels in healthy male subjects. By providing valuable insights into how Muay Thai exercise affects quality of life, love of life, and self-control, this research can guide future intervention and program design in the context of sport psychology.
AtıfScopus7OpenAlex8İncele - MakaleYalnız künye2024Scopus SJRQ2Uncovering chemical profiles, biological potentials, and protection effect against ECM destruction in H2O2-treated HDF cells of the extracts of Stachys tundjeliensis
Kurt-Celep, Inci; Zheleva-Dimitrova, Dimitrina; Sinan, Kouadio Ibrahime; Uba, Abdullahi Ibrahim; Nilofar; Mahomoodally, Mohamad Fawzi; Aumeeruddy, Muhammad Zakariyyah; Cakilcioglu, Ugur; Dall'Acqua, Stefano; Zengin, Gokhan
The genus Stachys L., one of the largest genera of the Lamiaceae family, is highly represented in Turkey. This study was conducted to determine the bio-pharmaceutical potential and phenolic contents of six different extracts from aerial parts of Stachys tundjeliensis. The obtained results showed that the ethanol extract exhibited the highest antioxidant activity in the antioxidant assays. Meanwhile, the ethanol extract displayed strong inhibitory activity against α-tyrosinase, the dichloromethane extract exhibited potent inhibition against butyrylcholinesterase, and the n-hexane extract against α-amylase. Based on ultra-high performance liquid chromatography coupled to high-resolution mass spectrometry analysis, more than 90 secondary metabolites, including hydroxybenzoic acid, hydroxycinnamic acid, and their glycosides, acylquinic acids, phenylethanoid glycosides, and various flavonoids were identified or tentatively annotated in the studied S. tundjeliensis extracts. It was observed that the application of S. tundjeliensis eliminated H2O2-induced oxidative stress. It was determined that protein levels of phospho-nuclear factor kappa B (NF-κB), receptor for advanced glycation endproducts, and activator protein-1, which are activated in the nucleus, decreased, and the synthesis of matrix metalloproteinase (MMP)-2 and MMP-9 also decreased to basal levels. Overall, these findings suggest that S. tundjeliensis contains diverse bioactive compounds for the development of nutraceuticals or functional foods with potent biological properties.
AtıfScopus12OpenAlex12İncele - MakaleYalnız künye2024Scopus SJRQ1Parental mediation in Turkey: The use of mobile devices in early childhood
Aslan, Alper; Turgut, Yigit Emrah
This study aims to investigate the use of mobile devices including smartphones and tablets in terms of mediation types of parents who have young children. In this case study, which is one of the qualitative research methods, criterion sampling was adopted for the selection of the study group. The fact that parents of 4–7-year-old children who use mobile devices is determined as the principal criterion. Twelve children aged 4–7 and their parents participated in the study. Data were collected through child observations and parent interviews. The results indicated that children with the mediation of parental supervision had fewer problematic behaviors in the use of media and faced fewer online risks. Besides, children whose parents have general restrictive mediation were the most likely to exhibit problematic media use behaviors. Children whose parents have active mediation were also the most likely to face Internet risks. It was observed that children frequently played games and watched videos on mobile devices. Most parents considered their children’s use of mobile devices as risky and harmful, while it was considered as useful only by co-using parents. It was found that children’s use of mobile devices causes physical, psychological, communicational, and cognitive issues while improving their academic abilities, interests, and cognitive structures. Nevertheless, it was discovered that parents used mobile devices to convince their children to go through their daily routines such as eating, bathing, and sleeping or calm them down in the workplace or social environments.
AtıfScopus9WoS8OpenAlex13İncele - MakaleYayıncıda açık erişim2023Scopus SJRQ3Optimization Approach in Window Function Design for Real-Time Filter Applications
Serbet, Fatmanur; Kaya, Turgay
Eliminating the Gibbs oscillations that occur during the Finite Impulse Response (FIR) digital filter design with the Fourier Series method will ensure correct filtering. For this reason, the development of the window improves the performance of the filter and, therefore, the system. In this study, the cosh window function is designed using Particle Swarm Optimization, which is a preferred optimization method in many areas. Thus, alternatives to the standard results obtained from the existing traditional calculations will be produced, and different windows that perform the same function will be obtained. In addition, exponential and cosh window functions were designed in LabVIEW environment, which is a graphical programming language-based program, and the designed windows were analyzed at different parameter values. LabVIEW provides a fast and easy programming environment, and it provides the opportunity to realize real-Time applications with its external hardware. Utilizing this feature, the amplitude spectrum of cosh window designed in LabVIEW is displayed in real time for different window parameter values. As a result, FIR digital filters were designed using cosh window based on optimization and the cosh window designed in LabVIEW, and the distorted EEG signal was filtered using these filters and displayed in real time.
AtıfScopus8WoS5OpenAlex5İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ4The role and challenges of clean energy technologies and embedded critical raw materials in the energy sustainability
Polat, Elifcan Göçmen; Polat, Erkan
Given the increasing pattern of sustainability challenges such as climate change, carbon footprint, biodiversity loss and its sensitivity to energy policies, developing a holistic perspective is essential to enhance the further integration of energy sustainability into environmental issues. As the green transition to energy sustainability, it requires mineral-intensive energy technologies. Mineral requirements are expected to increase at unprecedented rates and could bring about the supply risks. One of the fundamental strategies is including the critical raw materials (CRMs) as variables in the energy sustainability, as the dependencies on CRMs for clean energy technologies. To address the issues related to energy sustainability and raw materials, Hesitant Fuzzy AHP (HF-AHP) is used to assess the clean energy technologies related to raw materials with the simultaneous consideration of economic, environmental, technological, and social pillars of sustainability perspective. The results are compared with the Best-Worst Method (BWM) to validate the obtained solutions. Computational results reveal that technological and environmental metrics are evaluated as the most critical dimensions. Mineral intensity as a technological metric and emissions as an environmental dimension are the most important sub criteria to evaluate the energy technologies. In Türkiye, while the hydraulic energy has the highest share due to its installed capacity and accessibility, solar panels and wind turbines hold high promise to combat climate change, obtained results also address the EVs and battery storage technologies. Ultimately, this enables all stakeholders to understand that involving of raw materials into energy sustainability could guide the compatibility policies between raw materials and sustainability energy models.
- MakaleAçık Erişim2023Scopus SJRQ1Bioaccumulation Pattern and Health Risk Assessment of Heavy Metals in Cirrhinus mrigala at Panjnad Headworks, Bahawalpur, Pakistan
Naz, Saima; Chatha, Ahmad Manan Mustafa; Danabas, Durali; Khan, Muhammad Farhan; Xu, Youhou; Zhu, Peng; Shafique, Laiba
Heavy metal accumulation in freshwater ecosystem has become one of the major aquatic environmental concerns for freshwater flora and fauna due to their higher stability and bioaccumulation as well as bio-magnification properties. Furthermore, passing through the food web, these heavy metals affect human populations ultimately. This study assessed the heavy metal accumulation in Cirrhinus mrigala in spring, autumn, and winter at different locations (I, II, and III) of Panjnad headwork. Furthermore, the human health risk assessment for the consumption of C. mrigala from the sampling locations was also carried out. Fish were collected from upper (I), middle (II), and lower (III) stream of Panjnad on a monthly basis. The current study evaluated the accumulation of Aluminum (Al), Arsenic (As), Barium (Ba), and Lead (Pb) in various fish organs (liver, kidney, gills, fins, skin, muscles and bones) and assessed their potential hazard to human health through health risk assessment indicators. The results demonstrated a significant difference (p < 0.05) in heavy metal accumulation in different fish organs, seasons, and locations. The accumulation of Al, As, Ba, and Pb were considerably higher in liver and kidney as compared to the other body organs and followed a trend of liver > kidney > gills > fins > skin > bones > muscle and the overall mean concentrations of metals in different body tissues of C. mrigala were in the order of Al > As > Ba > Pb. The results also concluded that C. mrigala caught from the Panjnad headwork is not safe for human consumption due to higher values of TTHQIng (3.76), THQIng for Ba (3.27) and CRIng for As (6.4742).
AtıfScopus27OpenAlex25İncele - MakaleYalnız künye2024Scopus SJRQ1Sharma–Mittal holographic dark energy and scalar field in Bianchi type-I cosmology
Korunur, Sibel
In this work, we studied Sharma–Mittal holographic dark energy model by considering Bianchi type-I cosmology. For this purpose we analyzed equation of state parameter using IR cutoff scale. Also it is reconstructed correspondence between Sharma–Mittal holographic dark energy and tachyon and quintessence scalar fields. Finally, we created plots for the time-evolution of the equation of state, kinetic energy, and scalar potential.
AtıfScopus3WoS4OpenAlex4İncele - MakaleYalnız künye2023Scopus SJRQ2New Deep Learning-Based Passenger Flow Prediction Model
Utku, Anıl; Kaya, Sema Kayapinar
The ability to predict passenger flow in transport networks is an important aspect of public transport management. It helps improve transport services, aids those responsible for management to obtain early warning signals of emergencies and unusual circumstances and, in general, makes cities smarter and safer. This paper develops a long short-term memory-based (LTSM-based) deep learning model to predict short-term transit passenger volume on transport routes in Istanbul. This prediction model has been created using a dataset that included the number of people who used different transit routes in Istanbul at one-hour intervals between January and December 2020. The proposed multilayer LSTM-based deep learning model has been compared with popular models such as random forest (RF), support vector machines, autoregressive integrated moving average, multilayer perceptron, and convolutional neural network. The experimental findings showed that the proposed multilayer LSTM-based deep learning model outperformed the other models with regard to prediction for each transfer route. Furthermore, RF, one of the machine learning models used, produced remarkably successful results.
AtıfScopus19WoS12OpenAlex16İncele
