Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(82)
- Akkurt, Nevzat(67)
- Güler, Ömer(66)
- Baskonus, Haci Mehmet(62)
- Bulut, Hasan(60)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Yucesan, Melih(43)
- Yildirim, Numan(42)
- Yildirim, Nuran Cikcikoglu(38)
- Paksoy, Mehmet Yavuz(36)
- Serdar, Osman(36)
- Zengin, Gokhan(36)
- Ince, Muharrem(34)
- Celik, Erkan(33)
- Benzer, Fulya(32)
- Kocabaş, Mehmet(30)
- Sulaiman, Tukur Abdulkadir(30)
- Tanyol, Mehtap(29)
- Yildirim, Ozal(28)
- Aslan, Naim(26)
- Kök, Mediha(26)
- Özkul, İskender(26)
- Ates, Mehmet(25)
- Danabas, Durali(25)
- Kutluyer, Filiz(25)
- Can, Erkan(24)
- Kutlu, Banu(23)
- Onat, Onur(23)
- Demir, Veysel(22)
- Erten, Fusun(22)
- Guler, Omer(22)
- Say, Yakup(22)
- Güler, Seval Hale(21)
- Yaman, Mehmet(21)
- Baykal, Duygu Sen(20)
- Sançar, Taylan(20)
- Susam, Selim Orhun(20)
- Cakilcioglu, Ugur(19)
- Orhan, Cemal(19)
Yayınlar
- MakaleAçık Erişim2023Scopus SJRQ3Impact of electron concentration on the transformation temperature and important physical properties of NiMnSnFe ferromagnetic shape memory alloys
Malkoç, Türkan; Kanca, Muhammed Sait; Işık, Erdem; Kök, Mediha
This study aimed to explore the influence of electron concentration on the NiMnSn alloy, which is a crucial ferromagnetic shape memory alloy (FSMA). The alloy was doped with various amounts of iron element to assess its effect. According to DSC measurement, iron doping has resulted in a general decrease in the transformation temperature value of NiMnSn alloy, as well as a decrease in the transformation enthalpy value. The orthorhombic martensite phase of NiMnSn alloy was replaced by L21 austenite crystal structure in X-ray measurements. Martensite, austenite, and precipitate phases were observed in SEM images. Iron doping significantly increased the magnetic saturation value of NiMnSn alloy, according to magnetic measurements, and thermomagnetic measurements revealed similar results. Graphical Abstract: [Figure not available: see fulltext.]
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İncele - MakaleAçık Erişim2023Scopus SJRQ2Seasonal monitoring of microbial activity using conventional approaches in a full-scale urban biological wastewater treatment plant
Demirbilek, Deniz; İpek, Ubeyde; Yetis, Ulku
Activated sludge processes contain various groups of microorganisms with different metabolic properties, which are responsible for contaminants removal. Therefore, it is important to elucidate the general structure and functional properties of biomass in activated sludge processes. For this purpose, a full-scale domestic biological wastewater treatment plant in Tunceli (Turkey), Tunceli WWTP (wastewater treatment plant), was monitored to observe seasonal variations in process performance and biomass properties for a year. It was observed that nitrifying bacteria developed abundantly in the rainy and cool spring season as they were suppressed in summer because their large losses took place due to an environment containing high alkalinity values. In September, aerobic heterotrophic, nitrify, denitrify, and anaerobic activities increased. It can be said that the biomass contained young and mature microorganism in this environment in which the sludge volume index (SVI) value increased to 196 mL/g. As a result of the improvement in the structural and functional properties of biomass, the nitrogen removal efficiency reached 99%. Throughout the whole study, the structural improvement observed in biomass was reflected in its removal activity. The amount of biomass and removal activity decreased with the abundance of organic matter in the influent at the period in which biomass was closer to being categorized in the aged sludge class. The results showed that as the lowest mixed liquid suspended solids (MLSS) and mixed liquid volatile suspended solids (MLVSS) values of the year were 530 and 400 mg/L, respectively, in November 2017, MLSS and MLVSS values reached the highest amount (1700 and 1400 mg/L, respectively) in December 2017 when aerobic heterotrophic activity accelerated with a decrease in organic matter level.
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İncele - MakaleAçık Erişim2023Scopus SJRQ1Case study of thermal and solutal aspects on non-Newtonian Prandtl hybrid nanofluid flowing via stretchable sheet: Multiple slip solution
Shamshuddin, MD.; Raizah, Zehba; Akkurt, Nevzat; Patil, Vishwambhar S.; Eldin, Sayed M.
The effect of multiple slip boundary conditions is one more important physical parameter on the flow investigation and have been studied in this analysis. Further, the effect of Ohmic heating and varying chemical reaction on non-Newtonian Prandtl hybrid nanofluid with water based nanofluids to an extending of leading edge was also investigated to this current analysis. An inclined magnetic field is introduced to fluid flow to regulate the fluid stream. Hybrid nanomaterial is synthesized by the dispersion of Cu and Cofe2O4 nanoparticles in Prandtl fluid. All chemical science specifications of nanofluid are measured as constant. Due to the nanofluid particles motion, the fluid concentration is inspected underneath chemical implications. A mathematical model is developed by assuming the flow as incompressible and purely cartesian coordinate system and appropriate non-dimensional variables are introduced for problem simplifications and dimensional analysis. The scheme for semi analytical study named Homotopy Analysis Method (HAM) is implied to get solutions to the equations. The procedure is then displayed pictorially where fluid velocity, temperature and concertation against various pertinent parameters are examined. It was found that, the Concentration field profiles have been shown to deteriorate because molecule diffusivity reduces as the chemical reaction parameter rises in both cases. In order to maintain thermal balance management in tiny heat density equipment and gadgets, current research may also be helpful in enhancing the thermal efficiency of heat exchangers.
AtıfScopus41WoS38OpenAlex44İncele - MakaleYalnız künye2023Scopus SJRQ2Computer-aided Optimization of Geopolymer Mortars
Gülmez, Nihan; Koçkal, Niyazi Uğur
The optimum mix design of geopolymers involves the purpose of determining which mixture will have high engineering properties without compromising the importance of each variable. This experimental study aimed to investigate the effects of some critical geopolymer mixture parameters on engineering properties by using historical data design in response surface methodology (RSM). Statistical models were developed between factors (binder and aggregate content, curing conditions and aggregate type) and their response surfaces (oven dry (OD) bulk density, water absorption, compressive strength and flexural strength). The final mathematical models for the response surfaces were constructed in terms of coded factors defined as dimensionless. In addition, a multipurpose optimization technique was used to achieve the desired design with the desired maximum strength.
- MakaleAçık Erişim2023Scopus SJRQ2ZrN and ta-C coatings on titanium for biomedical applications: Improved adhesion, corrosion, antibacterial activity, and cytotoxicity properties
Aslan, Naim; Aksakal, Bünyamin; Cihangir, Salih; Cetin, Fadime; Yilmazer, Yasemin
Commercially pure titanium (CP-Ti) is extensively used in biomedical applications. However, numerous qualities, including mechanical strength, corrosion resistance, and wear resistance, must be established for long-term performance as an implant material. This study investigates the enhancement of surface properties of CP-Ti through physical vapor deposition (PVD) with ZrN and ta-C (tetrahedral amorphous carbon). Among the coatings, ZrN revealed best overall results, such as adhesion, corrosion, microhardness, and wettability, excluding cell viability when compared to ta-C. E. coli and S. aureus were employed for antibacterial activity and MTS cell viability experiments. Compared to α-titanium, hardness tests revealed 91% increase in ZrN coating, and %22 increase in ta-C coating. Super-hydrophobicity and excellent antibacterial activity were found for ZrN coatings in comparison to ta-C. These findings emphasize the potential of ZrN and ta-C coatings to improve the surface properties of titanium, encouraging it to be used in biomedical devices. Graphical abstract: [Figure not available: see fulltext.].
AtıfScopus16WoS16OpenAlex19İncele - MakaleAçık Erişim2023Scopus SJRQ2Investigation of fundamental electrical and optoelectronic properties of an organic- and carbon-based MnPc/GC photodiode with high photosensitivity
Aktas, Sitki; Unal, Fatih; Kurt, Mustafa Sukru; Koç, Mümin Mehmet; Arslan, Tayfun; Aslan, Naim; Coşkun, Burhan
The aim of this work is to provide an alternative to optoelectronic devices that use carbon and organic materials. To achieve this, we coated a modified MnPc organic semiconductor compound onto a graphite-like carbon (GC) thin film using the thermal evaporation technique, and fabricated an organic-based, highly light-sensitive MnPc/GC hybrid heterojunction. The heterojunction had a transmittance of approximately 60% in the visible region, an absorption coefficient of ∼106 m−1, and an energy band gap of 2.6 eV. Subsequently, Ag contacts were grown on the surface of each layer, and the Ag/MnPc/GC/Ag photodiode was subjected to fundamental electrical analysis at various light intensities and a ±3 V applied potential. Analysis in a dark environment revealed that the photodiode had a rectification ratio of 2.59 × 103, a series resistance of 28 Ω, and a shunt resistance of 4.17 × 104 Ω, as calculated from Ohm’s law. The diode ideality factor and barrier height of the photodiode were determined from thermionic emission theory to be 5.60 and 0.71 eV, respectively, and it was observed that these decreased with increasing light intensity. The photodetector parameters of the MnPc/GC hybrid photodiode were determined under positive and negative applied potentials at various light intensities. The highest photocurrent, photoconductive responsivity, photosensitivity, and specific detectivity were determined to be 1.512 × 10−1 A, 11.52 A.W−1, 9.83 × 105, and 2.48 × 1012 Jones, respectively, which were significantly higher than those reported in literature for organic and inorganic-based photodiodes. Based on the findings, it was concluded that the Ag/MnPc/GC/Ag photodiode holds promise as an alternative for sensors, solar cells, photodetectors, and optoelectronic communications applications.
AtıfScopus10WoS9OpenAlex14İncele - MakaleYalnız künye2023Scopus SJRQ2Energy-momentum localization in rainbow gravity
Korunur, Murat; Korunur, Sibel
Theoretical physicists generally prefer to modify the general theory of relativity rather than avoiding the successful approaches that have been offered to us. Hence, the rainbow formalism of gravity, which is one of the most studied quantum gravity candidates in literature, has recently gained importance in the field. In this study, the energy-momentum localization problem is discussed for the Taub universe within the framework of rainbow gravity. To achieve this goal, energy and momentum components are calculated by making use of diverse values of rainbow functions in the Einstein, Bergmann-Thomson, Landau-Lifshitz, and the Papapetrou prescriptions for the geometry under consideration. Except for the Landau-Lifshitz prescription, all prescriptions depend on the rainbow functions and the momentum components vanish. Graphical analysis is performed for all the energies obtained. Also, it is shown in limiting condition f1(x) → 1; f2(x) → 1 that the results are compatible with the ones obtained in the general relativity.
AtıfOpenAlex1İncele - MakaleYalnız künye2023Scopus SJRQ1Ultrasound assisted adsorptive removal of Cd+2 ions from the water system using Bi2S3 nano/micro flowers
Kurnaz Yetim, N.; Aslan, N.; Özcan, C.; Koç, M.M.
Heavy metal ions threaten public health and marine life; thus, removal of heavy metals is essential for the environment. Bi2S3 nanostructures are active materials which used in various applications. In this work, we produced Bi2S3 nanoflowers using hydrothermal synthesis and assessed their Cd2+ ions removal capability. Structural properties of the Bi2S3 nanoflowers were assessed by various like scanning electron microscopy, X-ray diffraction. Chemical characteristics of the materials were confirmed using energy dispersive X-ray spectra. Different parameters affecting the Cd2+ ion recovery was worked some of which are adsorbent amount, Cd2+ ion concentration, pH, adsorbent time, eluent type and amount, etc. For cadmium, the optimum pH was determined 8.0 for 1 M HNO3 eluent. Optimum adsorbent amount was determined as 150 mg while optimum recovery duration was found as 30 min. Bi2S3 nanoparticles managed to achieve 99.3% Cd2+ recovery rate in 5 mL eluent volume, for optimum condition. The adsorption capacity of the Bi2S3 nanoflowers was found to be promising and therefore, it was illustrated that Bi2S3 nanoflowers are good candidates as sorbent for water remediation applications.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2023Scopus SJRQ2Application of the deep transfer learning framework for hydatid cyst classification using CT images
Gul, Yeliz; Muezzinoglu, Taha; Kilicarslan, Gulhan; Dogan, Sengul; Tuncer, Turker
Hydatid cyst, which causes important public health problems, is a disease frequently reported by radiologists. Classification of hydatid cyst types is very important to give the most suitable cure to patients. In order to decrease the misclassification rates of these cysts, machine learning is a good solution to create intelligent medical assistants. The primary objective of this work is to develop a new image classification framework to classify hydatid cyst types. Firstly, we collected a computed tomography (CT) image dataset. This CT image dataset consists of 2416 CT images with five classes (hydatid cyst types). We proposed a new deep feature engineering dataset framework for this dataset. This framework consists of (i) deep feature extraction by deploying transfer learning, (ii) iterative feature selection using INCA (iterative neighborhood component analysis), and (iii) classification. In the first phase—the feature extraction phase—we extracted deep features by deploying ten pretrained convolutional neural networks (CNNs). The used CNNs are commonly used CNNs, and the deep features have been extracted using the last pooling and fully connected layers of these networks. INCA has been applied to the generated deep features by each feature vector. k-nearest neighbors (kNN) classifier has been utilized to generate predicted values of these 10 CNNs using the selected features by INCA. Our proposed INCA-based deep feature extractor attained over 92% classification accuracy for each pretrained model. Our proposed framework reached over 92% classification accuracies, clearly demonstrating that our proposed framework is good image classification.
AtıfScopus10WoS5OpenAlex8İncele - MakaleAçık Erişim2023Scopus SJRQ1The Effects of Changing the Effective Crest Length of Labyrinth Side Weir on Discharge Capacity
Dogan, Yusuf; Kaya, Nihat
Labyrinth side weirs have significant advantages according to conventional side weirs in terms of discharge capacity. Labyrinth side weirs are especially advantageous in places where more discharge is required from small weir openings lengths. The most significant feature of labyrinth side weirs is their effective crest length, which enables them to discharge more flow. In this study, the situation where the discharge capacity is decreased due to the narrowing of the crest length of the labyrinth side weir for any reason was experimentally investigated in detail. It was also considered that the potential narrowing could be in the upstream weir crest length. The overflow from the remaining length of the crest was enabled by the 1/3, 2/3, and 3/3 closure of the upstream crest length of the labyrinth side weir. Therefore, it was attempted to determine the decrease in discharge capacity due to the narrowing in the effective crest length. The values of the discharge coefficient were obtained by using the De Marchi approach. The study was conducted for subcritical flow regimes and steady-state flow conditions. A total of 980 experimental runs were conducted in this study. As the length of upstream effective crest length of the triangular labyrinth side weir at the straight channel decreases, the discharge coefficient also decreases. By narrowing the length of effective upstream crest length in 1/3, 2/3, and 3/3 ratios, the total discharge capacity decreased by approximately 10%, 23%, and 48%, respectively.
AtıfScopus7WoS6OpenAlex6İncele - MakaleYalnız künye2023Scopus SJRQ2Deep learning based an effective hybrid model for water quality assessment
Utku, Anıl; Utku, Esen Damla; Kutlu, Banu
Water, which is very important for life and civilizations on Earth, has been a source of life for all living things. However, freshwater resources gradually decrease due to climate change, pollution, and population growth. Water pollution is the quality changes that occur due to various activities of people, change the chemical, biological, and physical properties of water, restrict or prevent its use, and disrupt ecological balances. The water quality criteria determined to keep this pollution under control ensure the safe use of water. Water quality observations have gained more importance today due to intense environmental concerns and water pollution. This situation revealed the necessity of water quality assessment for water source use. In this study, the CNN-LSTM-based hybrid model was proposed to assess water quality. The proposed model was compared with AdaBoost, DT, GNB, kNN, LGBM, RF, and LSTM according to accuracy, precision, recall, F-score, and AUC. The proposed model has 98.81% accuracy, 99.03% precision, 99.65% recall, 99.33% F-score, and 93% AUC. Practitioner Points: CNN-LSTM hybrid model was developed to water quality assessment. The proposed model is compared with established techniques like AdaBoost, DT, GNB, kNN, LGBM, RF, and LSTM. The developed model has 98.81% classification accuracy. Experimental results show that the developed model will ensure the use of safe water according to water quality criteria.
AtıfScopus7WoS4OpenAlex8İncele - MakaleYalnız künye2023Scopus SJRQ2The Effect of Using Ferro-Alloy on the Properties of AlCoFeNiMoTi High-Entropy Alloy Produced by Arc-Melting Method: Design of Low Cost
Güler, Seval H.
The cost of high-entropy alloys (HEAs) is one of the most major obstacles to their widespread use. The cost of these alloys with significant amounts of five metals might reach very high levels depending on the type and quantity of metal utilised. Therefore, this study examined the effect of the use of ferro-alloys as part of the charge mixture on the properties of AlCoFeNiMoTi alloy. Ferro-alloys are much less expensive than the pure form of the same metal. To that end, two groups of samples were produced. The AlCoFeNiMoTi alloy was produced using high-purity metals as the metallic charge in the first group of samples. Instead of utilising the pure forms of some expensive metals that make up such alloy, as the metallic charge, lower-cost ferro-alloy forms were employed in the second group of samples. Following the preparation of the appropriate compositions, alloys were produced using the arc-melting method, and the produced alloys were subject to homogenization heat treatment. The obtained samples were characterised by X-ray diffraction (XRD) and scanning electron microscopy (SEM). Then, mechanical and corrosion tests were run. The corrosion resistance of the HEAs was compared with an electrochemical polarisation technique in a 3.5% NaCl electrolyte. It was observed that many intermetallics precipitated through the heat treatment of the samples, and the precipitates negatively affected the mechanical properties of the alloy. Also, in the samples in which ferro-alloy was used instead of pure metal, the mechanical properties were substantially degraded. This is believed to be associated with the presence of inclusions and other residues in ferro-alloys. Graphical Abstract: [Figure not available: see fulltext.]
AtıfScopus6WoS7OpenAlex7İncele - MakaleAçık Erişim2022Scopus SJRQ3Iron Age and Later Periods in an Isolated Region: The Bingol-Solhan Fortress
Danismaz, Harun; Köroglu, Kemalettin
Solhan Kalesi [Solhan Fortress] lies at the western tip of the Solhan Plain from which it derives its name. The fortress site was discovered in 2019 during surveys. Drywall fortifications reinforced with bastions and foundations from various buildings inside the fortification walls have been documented at the site. Ceramics and slag found at Solhan Fortress indicate that the site may have been a tribal center in the Iron Age. However, the architectural features of the fortress, especially the fortifications with bastions, are notably different from other Iron Age sites in the region. Surface finds do not include painted or glazed ceramics from the Medieval Period. Current findings indicate Solhan Fortress to have been inhabited for a long period from the Middle Iron Age to the Medieval Period.
AtıfWoS1İncele - BildiriYalnız künye2022Machine Learning-Based A Comparative Analysis for Air Quality Prediction
Utku, Anil; Can, Umit
Air pollution affects human life negatively, especially in terms of health, and causes the death of millions of people every year. Today, air pollution in many regions is still above the limits indicated by the World Health Organization. In this study, the prediction of the rate of PM2.5, which is an important air pollutant, in the Beijing region of China is emphasized. For this purpose, weather prediction models were created using Random Forest Algorithm, Support Vector Regression, XGBoost and K-Nearest Neighbor Algorithm, which are popular machine learning algorithms, and the results were compared using various metrics. The best prediction result in all the metrics used was obtained with the Support Vector Regression method.
AtıfWoS2OpenAlex8İncele - Kitap BölümüYalnız künye2022OTTOMAN STRATEGY AND THE DANUBE THEATRE OF THE WAR
Badem, Candan; Badem, C
- Kitap BölümüYalnız künye2022The Language of Silence in Timberlake Wertenbaker's The Love of The Nightingale
Sentürk, Gamze; Baykara, T; Kacmaz, E
- Kitap BölümüYalnız künye2022ALEVISM AS A 'MAJORITY': ALEVI AND SUNNI COMMUNITIES IN DERSIM
Gültekin, Ahmet Kerim; Ozkul, D; Markussen, H
AtıfWoS1İncele - MakaleYalnız künye2022On the Archimedean copula constructed from the Bezier polynomial type diagonal section
Susam, Selim Orhun
In this study, we construct a convex Bezier type diagonal section which uniquely characterizes the Archimedean copula. The proposed diagonal section is flexible according to its polynomial degree; hence, we can add the additional parameters to the diagonal section by increasing the polynomial degree. We also present a graphical tool based on the diagonal section in order to visualize the different types of Archimdean copulas in the copula test space. As an illustration, the real data examples are given.
- EditoryalYalnız künye2022THE ROUTLEDGE HANDBOOK OF THE CRIMEAN WAR INTRODUCTION
Badem, Candan; Badem, C
AtıfWoS2İncele - MakaleYalnız künye2022APPLICATION OF RAINWATER HARVESTING TO MUNZUR UNIVERSITY CAMPUS AND EXAMINATION OF CONTRIBUTIONS
Korkmaz, Meral
The world is facing drought, and over time, water problems are becoming more serious. Agricultural land and green areas are gradually declining due to water scarcity. While the amount of available water is gradually decreasing, people's unnecessary use of water and water consumption are increasing. This, in turn, requires the accurate use of existing water resources and the realization of intelligent building systems as soon as possible. Despite this fact, none of the university's public buildings currently use systems such as the rainwater harvesting technique. The main aims of this research are to find effective results in terms of savings and to contribute to avoiding water shortages in the future. It is important today to immediately begin making future housing with these systems and to integrate these intelligent systems into public buildings, especially incorporating the latest technologies. In this study, the advantages of zero-energy built roofs and rainwater harvesting systems on the Munzur University campus are evaluated.
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