Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(87)
- Merdan, Mehmet(70)
- Duran, Celal(56)
- Baltaci, Cemalettin(52)
- Kulakaç, Nurşen(51)
- Ozdes, Duygu(51)
- Kaygusuz, Abdullah(47)
- Öztürk, Serkan(42)
- Demir, Selim(40)
- Karsli, Orhan(37)
- Turan, Ibrahim(37)
- Dokuz, Abdurrahman(36)
- Gücer, Mehmet Ali(36)
- Sipahi, Ferkan(36)
- Araz, Onur(35)
- Kandemir, Raif(31)
- Vural, Alaaddin(31)
- Topal, Fevzi(30)
- Kurt, Kemal(29)
- Ürkek, Bayram(29)
- Maden, Nafiz(28)
- Acet, Tuba(27)
- Alemdag, Selcuk(26)
- Arslan, Mehmet(26)
- Ayaydin, Hasan(26)
- Akaryali, Enver(25)
- Aydin, Faruk(25)
- Baltacı, Cemalettin(25)
- Yücel, Cem(25)
- Akar, Zeynep(24)
- Barut, Abdulkadir(24)
- Ozturk, Samet(24)
- Pala, Fahrettin(24)
- Peker, Iskender(24)
- Topal, Meryem(24)
- Yildiz, Salih(24)
- Öz, Mehmet(24)
- Aliyazicioglu, Yuksel(23)
- Bostan, Sedat(23)
- Kankal, Murat(23)
Yayınlar
- MakaleYalnız künye2023Scopus SJRQ1Investigating the environmental Kuznets curve hypothesis with recovered paper consumption, human development index, urbanization, and forest footprint
Aydin, M.; Koc, P.; Tumay, M.
The aim of this study, which covers the period from 1991 to 2017, is to analyze the relationships between recovered paper consumption, human development index, urbanization rate, and forest footprint in the framework of the Environmental Kuznets Curve (EKC) hypothesis in the 10 countries that consume the most recovered paper. Considering that wood is the raw material of paper, the study investigates whether the increase in the consumption of recovered paper has a positive effect on the forest footprint. Therefore, unlike other studies, the dependent variable of the EKC model is the forest footprint. The study is original in that it is the first to analyze the effects of recovered paper consumption on environmental degradation in the context of the EKC hypothesis. To analyze the relationships between the variables, we use panel cointegration tests based on AMG and CCE estimators, which allow analysis on both a country and group basis. According to the results, the EKC hypothesis is valid only in the Netherlands. While there is a statistically significant and negative relationship between recovered paper consumption and forest footprint in the Netherlands, there is a statistically significant and negative relationship between urbanization and forest footprint in Italy. Economic and ecological benefits and costs must be considered to measure the net benefit of waste management programs. In addition, to analyze how environmental impacts change over time, ecological footprint and gas emissions during waste generation or disposal should be measured similarly to carbon emissions.
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İncele - MakaleAçık Erişim2023Scopus SJRQ1Modelling some stand parameters using Landsat 8 OLI and Sentinel-2 satellite images by machine learning techniques: a case study in Türkiye
Bulut, Sinan; Günlü, Alkan; Çakır, Günay
Remote sensing technologies have been extensively used in forest management in predicting stand parameters. The goal of this study is to use Landsat 8 and Sentinel-2 satellite images to estimate stand volume, basal area, number of trees, mean diameter, and top height. 180 temporary sample plots were taken in pure Crimean pine stands with varied structure. Reflectance, vegetation indices, and eight texture values were generated from Landsat 8 and Sentinel-2 satellite images. The stand parameters were modelled with the remotely sensed data using multiple linear regression, support vector machine, and deep learning techniques. The results showed that the support vector machine technique provided the highest level of model performance with 45° orientation for number of trees (R2 = 0.98, RMSE%=5.97) and 90° orientation for basal area (R2=0.91, RMSE%=15.22). The results indicated that the texture values presented better results than the reflectance and the vegetation indices in estimating the stand parameters.
AtıfScopus12WoS12OpenAlex16İncele - MakaleAçık Erişim2023Scopus SJRQ2Rheumatic diseases and gut microbiota publications in 2002–2022: a Scopus‑based bibliometric analysis
Kocyigit, Emine; Kocak, Tevfik
Rheumatic diseases (RDs) include a variety of autoimmune disorders defined by severe inflammation, primarily affecting the joints, tendons, ligaments, bones, and muscles. Recent research has revealed the association between rheumatic diseases and gut microbiota, thereby providing insights into the underlying mechanisms of disease pathogenesis. The objective of this study was to evaluate the quantity and quality of scientific research regarding the association between RDs and gut microbiota, as well as to elucidate the characteristics of worldwide research output in this field. The present bibliometric analysis was carried out using the Scopus database, using the keywords "rheumatology," "arthritis," and "gut microbiota." The study involved determining the number of articles, the number of active countries with journals, the identification of prolific authors, and the collection of citation data. Additionally, analyses of trends were conducted. 503 articles in all were reviewed. Collaboration networks were visualized using mapping techniques. The number of articles on RDs and gut microbiota exhibited a consistent pattern from 2002 to 2022 (p < 0.05). The five most productive countries were China (n = 128; 25.45%), the United States (n = 101; 20.07%), Italy (n = 40; 7.95%), the United Kingdom (n = 20; 3.98%), and Japan (n = 17; 3.38%). Israel, Italy, Belgium, and Portugal had the highest values regarding the number of articles per million population. Australia, Canada, and the United Kingdom were the top three countries regarding average citation count. This bibliometric analysis evaluates and synthesizes global scientific output on RDs and gut microbiota. The literature on the association between rheumatic diseases and gut microbiota is growing. Supporting researchers in countries with limited involvement in this field will contribute to its growth.
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İncele - MakaleYalnız künye2023Scopus SJRQ3A Numerical Study to Evaluate the Changes in Dynamic Properties of Various Steel Truss Types Under Fire Conditions
Sibil, R.; Ozyurt, E.
This study numerically examines the changes in dynamic properties of fire-damaged steel trusses made of square hollow sections subjected to uniform and non-uniform heating scenarios. After verifying the numerical models at both ambient and elevated temperatures, a vast number of the simulations were analysed using non-linear finite element software to evaluate the effects of fire scenarios, truss types, and fire-damaged levels on the fire dynamic characteristics of square hollow section Warren, Howe, and Pratt trusses. The results indicated that the natural frequency of steel trusses significantly decreased as the fire-damaged level increased. In the case of local fire, the natural frequencies of the trusses began to drop suddenly at temperatures above 550 °C. Whereas the drop in the natural frequency of the uniformly heated trusses started at even much lower temperature levels. Moreover, the decrease in the natural fundamental frequencies of the uniformly heated trusses was lower than the reduction rate of the modulus of elasticity at high temperatures due to the large non-linear deformations. Since the modification of the stiffness of the truss by simply the reduction factor of the elastic modulus of the steel may be inappropriate to calculate the fundamental frequency of the trusses in the local and global fires, a new method was introduced to calculate the fundamental frequency value of the steel trusses in the fire.
AtıfScopus7WoS5OpenAlex6İncele - MakaleYalnız künye2023Scopus SJRQ1Examining the role of urban-industrial symbiosis in the circular economy: an approach based on N-Force field theory of change and N-ISM-Micmac
Erol, Ismail; Peker, Iskender; Ar, Ilker Murat; Searcy, Cory
The circular economy (CE) refers to a new industrial paradigm that contrasts with the linear supply chain structure based on a "take, make, use, dispose" pathway. Due to its potential contributions to improving the CE, industrial symbiosis (IS) has been recognized as a feasible way to advance it. Urban symbiosis is an extension of IS that involves a series of symbiotic relationships among enterprises within the urban area. Combining urban and industrial symbiosis (Ur-IS) is a step toward better resource efficiency in urban areas and industrial zones and urban areas. However, while there are several driving forces for Ur-IS adoption, there are also many inhibiting factors. A comprehensive decision framework is needed to address the principal drivers and challenges for Ur-IS initiatives. Türkiye, designated as a candidate for full EU membership in 1999, also places importance on environmental sustainability goals and effective resource management in its own move towards a CE. Our literature review concluded that there is only one quantitative study investigating the driving and (or) restraining forces for Ur-IS adoption in emerging and industrialized countries. The main purpose of this study is to investigate the potential of Ur-IS implementation in Türkiye through the proposed Neutrosphopic-Simple Additive Weighting Method-based force field theory of change and the Neutrosphopic–Interpretive Structured Modeling-Cross-Impact Matrix Multiplication Method. The findings suggest that lack of policies, lack of incentives and regulations, and vulnerability and supply uncertainty are the most significant restraining forces for Ur-IS implementation in Türkiye. The research findings can assist decision-makers in Türkiye in effectively implementing Ur-IS.
AtıfScopus9WoS8OpenAlex9İncele - MakaleYalnız künye2023Scopus SJRQ4Effect of detector crystal size on Compton suppression factors
Kaya, Selim; Çelik, Necati; Gök, Abdulkadir; Çevik, Uğur
The geometrical parameters which affect the suppression factor for an HPGe (High Purity Germanium)-NaI Compton suppression spectrometer were studied by a Monte Carlo simulation with the EGS4 system. The spectrums were crated for 5 energy values ranging from 200 keV to 2 MeV. Compton suppression factors (CSFs), the parameters characterizing the system performance, were calculated for different HPGe crystal parameters. It was observed that to obtain better Compton suppressed factors, a laboratory must choose as small HPGe crystal as possible for energy values up to 400 keV. However, for higher energies up to 2 MeV, larger HPGe crystals provide better Compton suppression systems. These findings suggest that the choice of HPGe crystal size can significantly impact the performance of a Compton suppression spectrometer and should be carefully considered in its design and optimization.
AtıfScopus5WoS4OpenAlex6İncele - MakaleAçık Erişim2023The Effect of Foreign Aid and Governance on Economic Growth; [Dış Yardım ve Yönetişimin Büyüme Üzerindeki Etkileri]
Hayaloğlu, Pınar; Tümay, Muhammed
Foreign aid is essential in meeting the capital needs of countries that need more resources. However, in the literature, besides the view that foreign aid encourages economic performance, opinions suggest that it has adverse effects on recipient countries. Some ideas argue that the positive impact of foreign aid in recipient countries depends on the institutional quality level of the nations. We examine the relationships between foreign aid, the quality of governance, and economic growth using the dynamic panel data analysis method. The empirical analysis includes samples of 78 low-income countries that used foreign aid from 2000-2019. According to the findings, foreign aid affects economic growth negatively in sample countries. In addition, we find a positive relationship between the quality of governance and economic growth. In line with these findings, we can state that improvements in governance quality will positively impact economic development in the sample nations.
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İncele - MakaleAçık Erişim2023Scopus SJRQ1New paleomagnetic results from Neogene to Quaternary volcanic rocks of north of the Lake Van, Eastern Turkey
Kayın, Sercan; İşseven, Turgay
The Eastern Anatolia is an active tectonic region where the collision between the Arabian and Eurasian plates take place. Due to the subduction of Arabian plate’s oceanic lithosphere under Eurasian plate, widespread volcanism observed in large areas began in Serravallian. There is no consensus in the literature for the tectonic evolution of the region. Therefore, there are many geological and geophysical studies conducted with the intention of explaining the tectonic evolution of Eastern Anatolia by geodynamic models. Our paleomagnetism study aims to reveal the tectonic rotations in order to better understand the development of the prevailing tectonism in the region from the volcanic rocks. Paleomagnetic samples were collected from 86 sites of the Late Miocene–Pleistocene volcanic rocks located at the north of Lake Van. Isothermal remanent magnetization studies show that magnetite is the mineral responsible for magnetization in most rocks, while both magnetite and hematite are responsible for the rest of the rocks. Curie temperatures and alteration degrees of rock samples were also determined by high-temperature susceptibility (HTS) studies. In some samples, titanomagnetite component was observed in the heating phase of the HTS measurements. The absence of this component in the cooling step indicates that Ti-magnetite is transformed into magnetite by alteration. The Pleistocene volcanics show counterclockwise rotation of R ± ΔR = 13.4° ± 3.8°. The Pliocene volcanic rocks were defined in four different groups: south of Erciş Fault, north of Erciş Fault, around Muradiye and north of Van. Also, the remarkable clockwise rotation is observed in the north of Van and near Muradiye R ± ΔR = 24.4° ± 17.0° and R ± ΔR = 6.9° ± 9.4°, respectively. In addition, counterclockwise rotation (R ± ΔR = 14.5° ± 6.1°) is obtained in the southern part of the Erciş Fault, while there is no significant rotation (R ± ΔR = 0.6° ± 7.4°) on the northern side. Late Miocene volcanic rocks show no significant rotation either (R ± ΔR = 1.8° ± 13.7°). Our new paleomagnetic results indicate that the left-lateral strike-slip Çakırbey Fault, located to the east of the Erciş fault and extending roughly in the northeast–southwest direction, may be active.
AtıfScopus4WoS3OpenAlex3İncele - MakaleYalnız künye2023Scopus SJRQ1Immunogenic evaluation of multi-epitope peptide-loaded PCPP microparticles as a vaccine candidate against Toxoplasma Gondii
Yilmaz-Ozturk, Rabia; Calik, Hilal; Yaman, Serkan; Ustun-Karatop, Eslin; Cakir-Koc, Rabia
Toxoplasmosis is a major health problem and socioeconomic burden, affecting around 30–50% of the global population. Poly(dicarboxylatophenoxy)phosphazene (PCPP) polymer was chosen as adjuvant for the immunogenic peptide antigen. Peptide-loaded PCPP microparticles were synthesized via the coacervation method and the characterization studies of microparticles were conducted to determine their size, charge, morphology, encapsulation efficacy, and loading capacity. To evaluate in vivo efficacy of the vaccine candidate, Balb/c mice were immunized with the formulations. Brain and spleen tissues were isolated from animals to investigate cytokine levels, lymphocyte proliferation, and brain cyst formation. As a result, antibody and cytokine responses in groups immunized with peptide-loaded PCPP microparticles were found to be significantly higher when compared to the control group. In conclusion, our novel multi-epitope peptide-loaded PCPP microparticle-based vaccine formulation demonstrated considerable humoral and cellular immune responses against T. gondii and protected mice against T. gondii infection during Toxoplasmosis.
AtıfScopus3WoS2OpenAlex3İncele - MakaleYalnız künye2023Scopus SJRQ2The effect of fabrication method on physical properties of different Y211 and 20% Ag2O added YBCO sample
Duman, Şeyda; Çakır, Bakiye; Başoğlu, Mehmet; Küçükömeroğlu, Tayfur; Aydıner, Alev
In this study, it is aimed to investigate the effects of production methods on the physical properties of 20% Ag2O and different ratios of Y211 added YBCO samples. In this context, the samples with Y123 + x % (x = 20, 25, 30) Y211 + 20%Ag2O compositions were fabricated by MPMG and TSMG methods in two groups to join YBCO main samples. XRD measurements were performed to determine the characteristic peaks. Trapped magnetic fields and vertical levitation forces between the bulk samples and a permanent magnet were measured using a computer-controlled system in ZFC at 77 K. From the XRD measurements, it was found that MPMG YBCO samples had a dominant superconducting structure and partially showed orientation peaks in the c-axis direction, while TSMG YBCO samples were single-crystal samples oriented along the c-axis. From the trapped magnetic field measurement results, the trapped magnetic field value of the Y123 + 25%Y211 + 20%Ag2O (TAg25) sample prepared by the TSMG method was higher than that of the other samples. Among the levitation force measurement results, the maximum repulsive force values of TAg25 and TAg30 (Y123 + 30%Y211 + 20%Ag2O) samples are the highest. At the same time, the hysteresis widths of these samples are also the highest, which proves that their flux-pinning potential is higher than that of the other samples.
AtıfScopus5WoS3OpenAlex5İncele - MakaleAçık Erişim2023Scopus SJRQ4Uranium migration and radioactive characteristics of the Sarıçiçek and Sarıhan Granodiorites
Altundaş, Suna; Çınar, Hakan
The radionuclide concentrations of eU (ppm), eTh (ppm), K (%) and dose rate values were measured in Sarıçiçek (Gümüşhane) and Sarıhan (Bayburt) granodiorites for a duration of 5 minutes at each of 532 measurement points. The radioelement ratios (eU/eTh, eU/K, and eTh/K) indicating the origins of the rocks, the geochemical indicators (Ume, F parameter, and eU-(eTh/3,5) rate) showing the uranium mobility and the radioelement concentrations were calculated and mapped within the study areas. The average K, eU, and eTh concentrations were calculated as 2.98%, 3.15 ppm, and 12.45 ppm for Sarıçiçek granodiorite, and 1.83%, 2.73 ppm, and 13.6 ppm for Sarıhan granodiorite, respectively. Higher radioactivity values were observed in basaltic, sedimentary, and ultramafic rock combinations within the granodiorite masses. In the classification according to radioelement ratios, it was concluded that the rocks in the study areas formed as a mixture of upper mantle and crustal materials. In both study areas, there was uranium transport from the granodioritic masses into the surrounding rocks, and accordingly, the rocks in the surrounding formations were enriched in uranium. As a result, radioactivity levels, rock formation origins, and uranium transport of both granodioritic masses and rocks in the surrounding formations were determined by evaluation with radioelement concentration values and ratios and migration parameters. The study areas were characterized by associating them with geology in light of radioactive data.
AtıfScopus2OpenAlex3TR Dizin1İncele - MakaleAçık Erişim2023Scopus SJRQ4Hypoglycaemia after Initiation of CFTR Modulator Therapy in a Cystic Fibrosis Patient without Diabetes
Yskout, Marie; Vliebergh, Joke; Bor, Hakan; Dupont, Lieven; Lorent, Natalie; Van Bleyenbergh, Pascal; Gillard, Pieter; Van Der Schueren, Bart; Mertens, Ann; Mathieu, Chantal
Introduction. Cystic fibrosis transmembrane regulator (CFTR) modulator therapies improve respiratory function and glycaemic control in patients with cystic fibrosis (CF). The direct effect of CFTR modulator therapies on pancreatic function in patients without preexisting diabetes remains unclear. Case Presentation. An 18-year-old female with CF caused by F508del/F508del mutation, who had no diabetes, developed postprandial hypoglycaemias 6 months after initiation of elexacaftor, tezacaftor, and ivacaftor combination therapy (ETI). Symptoms were persisted after brief discontinuation of ETI, but her symptoms and time-in-hypoglycaemia had improved remarkably by avoiding high glycaemic index-foods. Discussion. This case of hypoglycaemia associated with CFTR modulator therapy in a patient without preexisting diabetes suggests that CFTR modulator therapy has the potential to directly affect glucose homeostasis. There might be an improvement in insulin secretion as well as a reduction in systemic insulin resistance. Conclusion. Treatment of CF patients without diabetes with CFTR modulator therapies can cause recurrent hypoglycaemic episodes which resolve with dietary measures.
AtıfScopus2WoS2OpenAlex1İncele - MakaleAçık Erişim2023Determining Levels of Search and Rescue Team’s Knowledge on Avalanche Search and Rescue
Kaya, Nahsan; Atalay, Ezgi; Demir Doğan, Melike
Avalanches kill more than 150 people every year, although no one knows the exact figure. Additionally, the mortality rate in avalanche incidents may reach up to 70% due to factors such as the lack of knowledge, experience, and organization of search and rescue personnel. This cross-sectional study was conducted to determine the awareness on avalanche and the level of knowledge on search and rescue among personnel who respond to avalanche incidents and participate in search and rescue activities. The sample consisted of 304 individuals who agreed to participate in the study between June and July 2021. Data were collected using an information form on socio-demographic characteristics and a survey prepared by the researchers upon the relevant literature review. It was found that while 65.8% of the participants were female, 34.2% were male. Their mean age was 29.69±8.50 years. The rate of those participating in search and rescue activities in case of a disaster was 44.1 %. The participants had a moderate level of knowledge on avalanche search and rescue as well as on-site medical management of avalanche victims. Those who participated in search and rescue activities in case of a disaster had a higher level of knowledge on avalanche search and rescue than those who did not. Those who were trained on avalanche search and rescue (preparedness, response) had higher levels of knowledge on avalanche search and rescue and on-site medical management of avalanche victims when compared to those who were not. As a consequence, it was determined that participation in search and rescue activities in a disaster increased the personnel’s level knowledge. Also, the related training elevated the levels of knowledge on both avalanche search and rescue and on-site medical management of avalanche victims.
AtıfScopus1İncele - MakaleAçık Erişim2023Scopus SJRQ3Adsorption Behaviour of EDTA Modified Magnetic Fe3O4 Coated Brewed Tea Waste on Cr(VI) Removal
Yilmaz Camoglu, Aslihan; Ozdes, Duygu; Duran, Celal
The study focused on fabricating a novel magnetic Fe3O4 loaded and EDTA modified brewed tea waste (TW-Fe3O4-EDTA) as a cheap, environmentally friendly, and efficient adsorbent for the removal of Cr(VI) ions from aqueous medium in a batch system. Characterization of the prepared adsorbent was performed with different techniques. Adsorption experiments were implemented at different conditions including initial solution pH (1.0–7.0), equilibrium time (1–480 min), adsorbent dosage (1.0–20.0 g L–1), and initial Cr(VI) concentration (50–1000 mg L–1). The optimum adsorption performance was observed at pH 2.0 with 120 min of contact time. Maximum adsorption capacity of 114.9 mg g–1 was acquired for TW-Fe3O4-EDTA which is much higher than the recently developed adsorbents for Cr(VI) removal. Adsorption process was well explicated by Freundlich isotherm model and the adsorption rate is described in accordance with pseudo-second order kinetic model. It was observed that common salts did not have a notable influence on Cr(VI) adsorption. The results of the study indicated that TW-Fe3O4-EDTA can be applied as an effective adsorbent in heavy metal removal as an alternative to many expensive adsorbents available in the literature.
AtıfScopus5WoS5OpenAlex5İncele - MakaleAçık Erişim2023Scopus SJRQ2Strength Analysis in Bonded, Bolted and Bolted-Bonded Joints, Single Lap Joints, Metal/Composite Plates
Sadık, Ali; Karabudak, Filiz
Today, especially in many fields that require structural durability, such as the aerospace and automotive industries, there has been a need to use different bonding techniques separately or together in order to use materials together with different mechanical properties. In this study, stress and damage analysis of single lap joints, bonding and bolt-bonding metal/composite joints under tensile loads were performed. The nine kinds of single lap joint models in different combinations (bonded, bolted and bolt-bonded) were prepared by using acrylic adhesive (Acrytron 1E1) and 100-25-3 mm in size; AZ91/AZ91, AZ91-carbon fiber and carbon fiber-carbon fiber plates. Some comparisons were carried out by examining the stresses and deformations that occur in joint models exposed to tensile and 4-point bending tests. As a result of the tensile test, it was determined that the highest maximum tensile stress occurred in AZ91-CF bolt-bonded samples. In the four-point bending test, the maximum shear force value was determined in the CF-CF bolted-bonded samples.
AtıfScopus10WoS9OpenAlex9İncele - MakaleYalnız künye2023Scopus SJRQ1Detection of forest fire using deep convolutional neural networks with transfer learning approach[Formula presented]
Reis, Hatice Catal; Turk, Veysel
Forest fires caused by natural causes such as climate change, temperature increase, lightning strikes, volcanic activity or human effects are among the world's most dangerous, deadly, and destructive disasters. Detection, prevention, and extinguishing forest fires is challenging. In addition, forest fires can cause habitat destruction that cannot be controlled in time and cause great material and moral losses. Therefore, fast and accurate Detection of forest fires is vital in emergency response. Here, in solving the problem, the transfer learning method from deep learning sub-topics can be used, which allows the application of pre-trained networks to a new problem. The Fire Luminosity Airborne-based Machine learning Evaluation dataset (consisting of forest fire images) obtained by Unmanned Aerial Vehicle was used in this study. In the Detection of forest fire images in the dataset, InceptionV3, DenseNet121, ResNet50V2, NASNetMobile, VGG-19 deep learning algorithms, transfer learning techniques that can produce more successful results than networks trained from scratch, and hybrid proposed with Support Vector Machine, Random Forest, Bidirectional Long Short-Term Memory, Gated Recurrent Unit algorithms methods have been applied. In the classification study with the Fire Luminosity Airborne-based Machine learning Evaluation dataset in performance measurement, 97.95% accuracy was obtained from the DenseNet121 model, which was started with random weights. In the transfer learning study using ImageNet weights, satisfactory results were obtained with 99.32% accuracy in the DenseNet121 model. We anticipate that working in forest fire detection and response can be entirely satisfactory.
AtıfScopus87WoS64OpenAlex92İncele - MakaleYayıncıda açık erişim2023Scopus SJRQ1MediNet: transfer learning approach with MediNet medical visual database
Reis, Hatice Catal; Turk, Veysel; Khoshelham, Kourosh; Kaya, Serhat
The rapid development of machine learning has increased interest in the use of deep learning methods in medical research. Deep learning in the medical field is used in disease detection and classification problems in the clinical decision-making process. Large amounts of labeled datasets are often required to train deep neural networks; however, in the medical field, the lack of a sufficient number of images in datasets and the difficulties encountered during data collection are among the main problems. In this study, we propose MediNet, a new 10-class visual dataset consisting of Rontgen (X-ray), Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, and Histopathological images such as calcaneal normal, calcaneal tumor, colon benign colon adenocarcinoma, brain normal, brain tumor, breast benign, breast malignant, chest normal, chest pneumonia. AlexNet, VGG19-BN, Inception V3, DenseNet 121, ResNet 101, EfficientNet B0, Nested-LSTM + CNN, and proposed RdiNet deep learning algorithms are used in the transfer learning for pre-training and classification application. Transfer learning aims to apply previously learned knowledge in a new task. Seven algorithms were trained with the MediNet dataset, and the models obtained from these algorithms, namely feature vectors, were recorded. Pre-training models were used for classification studies on chest X-ray images, diabetic retinopathy, and Covid-19 datasets with the transfer learning technique. In performance measurement, an accuracy of 94.84% was obtained in the traditional classification study for the InceptionV3 model in the classification study performed on the Chest X-Ray Images dataset, and the accuracy was increased 98.71% after the transfer learning technique was applied. In the Covid-19 dataset, the classification success of the DenseNet121 model before pre-trained was 88%, while the performance after the transfer application with MediNet was 92%. In the Diabetic retinopathy dataset, the classification success of the Nested-LSTM + CNN model before pre-trained was 79.35%, while the classification success was 81.52% after the transfer application with MediNet. The comparison of results obtained from experimental studies observed that the proposed method produced more successful results. Graphical abstract: [Figure not available: see fulltext.]
AtıfScopus16WoS14OpenAlex18İncele - MakaleAçık Erişim2023Scopus SJRQ3High-cycle fatigue and tensile strength of AZ91 Mg alloy with MAO-epoxy duplex coating
Karabudak, Filiz
In this study, an epoxy layer was formed by the immersion process, on the oxide layer grown by the micro-arc oxidation (MAO) treatment of the AZ91 magnesium alloy, using the thin film sealing technology, and its effect on fatigue and tensile stress under high cycle conditions was investigated. The microstructures of the AZ91 base material, MAO/AZ91 and MAO-epoxy/AZ91 samples, which were subjected to high-cycle fatigue tests and uniaxial static tensile tests, were assessed through the scanning electron microscope (SEM), X-ray diffraction (XRD) mechanical tests, and fatigue and tensile tests. As a result, the MAO-epoxy duplex coating, which has a homogeneous and compact structure, was observed to improve the fatigue limit value/life, yield strength, ultimate tensile strength, and percentage elongation values of the base material significantly.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2023Assessment of photovoltaic module temperature estimation for four years with four different software; [Dört yıllık fotovoltaik modül sıcaklık tahmininin dört farklı yazılımla değerlendirilmesi]
Tolgay, Doga; Yakut, Muhammet Samet; Ozden, Talat; Akinoglu, Bulent G.
The software used today, on the estimation of module temperature of photovoltaic systems, seem very important to be analyzed. These estimates are crucial in future techno-economic and environmentally friendly analyses of the systems to reach better achievements for future generations. This is very important to reach lifetime analyses of long-term feasibility to find out payback time and the levelized cost of energy. The present work is based on this issue, to test the module temperature estimation formulas used by four commonly used software models, and to determine the most suitable software for temperature analyses of five different photovoltaic modules in Middle Anatolia. Outdoor truthful long-term testing is the main realistic approach to reach fundamental contemplations. After an introductory basic knowledge, the main materials and methods are discussed to enlighten the analysis. The main methodology is given and further prospects are enlightened. Four well-known software are analyzed using four years of outdoor testing of five different photovoltaic modules. Measured ambient temperature and solar irradiance are used in the categorization of the software estimation performances. PV*SOL appears to be superior at low irradiance and ambient temperature, whereas Helioscope appears to be superior overall.
AtıfScopus2İncele - MakaleAçık Erişim2023THE IMPLICATIONS OF ISLAMIC LAW ON THE RIGHTS OF RELIGIOUS MINORITIES IN MUSLIM-MAJORITY COUNTRIES
Karimullah, Suud Sarim
This study aimed to explore the complex implications of Islamic law on the rights of religious minorities in Muslim-majority countries. Through a comprehensive literature analysis, the study summarized information from various relevant text sources. The findings show the complex challenges faced by religious minorities when exercising the rights in Muslim-majority countries. Examining the impact of Islamic law on religious minorities' rights suggests that the legislation could provide a potential basis for protection. However, the interpretation and application of the law varies between countries. Introducing Islamic law into state policies often creates tensions between religious and universal human rights principles, requiring careful efforts to strike a delicate balance. In modern contexts, such as the impact of globalization and information technology, Muslim-majority countries are faced with challenges that prompt constant adaptation to ensure the effective protection of religious minorities’ rights. Therefore, addressing these challenges requires a comprehensive method including legal reform, interreligious dialogue, and community education to ensure that the rights of religious minorities are respected and substantially protected.
AtıfScopus26OpenAlex18İncele