Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Kulakaç, Nurşen(10)
- Çelik, Orkun(8)
- Ashyralyyev, Charyyar(7)
- Keyifli, Nazlı(7)
- Ashyralyev, A.(6)
- Kayikcioglu, Temel(6)
- Menevseoglu, Ahmed(6)
- Araz, Onur(5)
- Ashyralyyev, C.(5)
- Demirbağ, Orkun(5)
- Koç, Pinar(5)
- Turan, Ibrahim(5)
- Ünlü, Ramazan(5)
- Ürkek, Bayram(5)
- Akar, Zeynep(4)
- Akyol, Hikmet(4)
- Akyol, Mehmet(4)
- Aydınçakır, Emre(4)
- Bilgilioglu, Burhan Baha(4)
- Demir Doğan, Melike(4)
- Demir, Selim(4)
- Kankal, Murat(4)
- Kurnaz, Muammer(4)
- Melek, Mesut(4)
- Pala, Fahrettin(4)
- Sancar Özkök, Canan(4)
- Taş, Ahmet(4)
- Ulutaşdemir, Nilgün(4)
- Uzun, Sevda(4)
- Acet, Tuba(3)
- Akay, K.U.(3)
- Aydin Sayilan, Aylin(3)
- Aydın Sayılan, Aylin(3)
- Barut, Abdulkadir(3)
- Basoglu, Mustafa Engin(3)
- Cakalli, H.(3)
- Canak, I.(3)
- Cengiz, Ekrem(3)
- Cengiz, Emre(3)
- Cengiz, Sevil(3)
Yayınlar
- MakaleYalnız künye2021Towards a circular economy: Investigating the critical success factors for a blockchain-based solar photovoltaic energy ecosystem in Turkey
Erol, Ismail; Peker, Iskender; Ar, Ilker Murat; Turan, İsmet; Searcy, Cory
Novel business models can be implemented through digital platforms to enable better circular economy (CE) performance in the renewable energy industry. For example, blockchain can assist in developing innovative business models throughout the solar photovoltaic energy ecosystem (SPVEE) to improve CE. Ranked fifth in total installed photovoltaic (PV) capacity, Turkey, as a developing country, should take the necessary steps and make progress towards achieving CE in the SPVEE. The solar PV industry requires further innovation to address the negative environmental impact of existing linear business models. To ensure favorable results, identifying and evaluating critical success factors (CSFs) are necessary. However, no study has investigated CSFs for SPVEE or any other renewable energy source to achieve a blockchain-based infrastructure towards increased CE performance. Therefore, the goal of this study is to identify and examine the CSFs to improve the performance of a blockchain-based SPVEE towards CE in Turkey. To this end, first, the CSFs for blockchain-based SPVEE were identified through both a literature review and the Nominal Group Technique (NGT). Then, Intuitionistic Fuzzy (IF)-DEMATEL was used to explore their interrelationships based on the expert data. Finally, IF-DELPHI was employed to validate the results. Our findings suggested that effective government incentive programs and regulations are significant for blockchain-based SPVEE towards CE in Turkey. The findings of this study assist macro and micro decision-making in the potential implementation of blockchain in Turkish SPVEE to improve CE. They are also invaluable for other countries and can be used as a reference point.
- Kitap BölümüYalnız künye2021XIV: Is chivalric love the true love?
Yalçin, Elif Güvendi; Üçele, Hatice Gönül
Romances dates back to the creation of stories. In English history, the romance genre has evolved from the middle aged chivalric romances in between 14th and 15th centuries, to Elizabethan romances in the 16th century, to Gothic romances in the 18th century and the romances of the 19th century. Anthony Giddens's theory of "The Transformation of Intimacy" proposes that romantic love which he sees as the outcome of modernization of Western societies emerges in the late 18th century onwards and is linked with romance as a literature genre. Giddens starts with the appearance of romantic love which is a paragon that is extensively distributed in the 19th century, when marriage starts to get rid of the monetary and kinship ties which have the utmost importance in pre modern societies. In this concept, love which is inconsistent with intimacy and sexuality in pre modern societies is transformed into a confluent love in modern societies with the appearance of more independent and emancipated individuals. The aim of this study is to demonstrate the idea of courtly love within the concepts of gender, sexuality, marriage and rape. Therefore, this paper examines the classic work of Sir Walter Scott's Ivanhoe (1820). Ivanhoe (1820) is accepted as the classics of both English language- literature and Scottish literature. Although Ivanhoe is not accepted as 'non serious' popular romance novel, it employs the traditional development of the romance story line, which can be summarized as the struggle between good and evil represented in the main male figure and villains, the dangerous journey of the chief character, his specific battle and journey through ritual death as well as his saving the unprotected lady and wedding at the end. The story is set in medieval times and the issue of medievalism is inseparable from the characters' appreciation of love. At that time, there is no place for bodily desires and passion. Thus, the identities of female and male, love- marriage relationships, and the issue of rape reflect the early 19th century ideals which promote the values of chivalry.
- MakaleYalnız künye2021Specification of Some Superconductivity Parameters by Adding Lutetium to the YBCO (358) Ceramic Superconductor
Başoğlu, M.; Düzgün, I.; Öztürk, A.
Superconducting specimens of Y3-xLuxBa5Cu8O18+δ (where x = 0, 0.2, 0.4, 0.5) ceramic were fabricated via the solid-state route (SSR). The structural and superconducting features of the specimens were analyzed using X-ray diffraction (XRD) and scanning electron microscopy (SEM). Measurements and calculations were carried out for electrical resistance (R-T) and DC magnetization (M-H). The onset critical transition temperature (Tconset) of the specimens dropped to lower temperatures with the addition of lutetium (Lu). The estimated critical current density (Jc) values of the specimens, depending on the magnetic field, were extracted from the DC magnetization data. The changes in average grain size and bulk critical current density were examined. Improvement was observed in the bulk critical current density with increasing levels of Lu/Y substitution.
- MakaleYalnız künye2021Acute effects of reverse kinesio taping on anaerobic performance in healthy subjects: A pilot study
Doğan, Erol; Erail, Serhat; Mayda, Muhammet Hakan; Yılmaz, Coşkun; Karaduman, Emre; Yılmaz, Ali Kerim; Bayram, Levent; Keskin, Deniz Özge Yüceloğlu; Ermiş, Egemen
Study Objectives: This study aimed to determine whether the Kinesio tape (KT) application through reverse taping on the quadriceps (Q) and hamstring (H) muscles have any effect on anaerobic power (AP). Methods: Sixteen healthy males were included in the study voluntarily. Muscle facilitation and muscle inhibition techniques were performed on the Q and H muscles of both the right and left sides by applying KT in the reverse direction, and AP parameters were measured using a Wingate ergometer. In trial 1 (Baseline), KT was not applied to the participants. In trial 2 (KT), the muscle facilitation technique was applied on the vastus medialis muscle in the Q of both legs, and the muscle inhibition technique was applied on the biceps femoris and semimembranosus muscles in the H, and AP performances of the participants were taken. The SPSS 22.0 software was used for statistical analysis. Paired sample t-test was used to analyze the differences between trials. Results: KT gave higher values than Baseline with regards to peak power, relative peak power, average power, and relative average power (p < 0.05). In addition, as a result of the KT application, there were minor improvements in minimum power, relative minimum peak power, power drop, and peak power %. However, these differences were not statistically significant (p > 0.05). Conclusions: It was observed that KT applied in the reverse direction on the Q and H muscle groups had a positive effect on AP. It was considered that this effect associated with the reverse KT application stemmed from the different tensions that decreased the neuronal threshold, which in turn ensured faster and easier stimulation of motor units and increased the muscle reflex, leading to a positive effect on AP.
- MakaleAçık Erişim2021Performance evaluation of beekeeping farms: A case study from Gümüşhane, Turkey
Dogan, Nilgun; Adanacioglu, Hakan
The main purpose of this study is to determine the economic performance of the beekeeping farms. For this purpose, a survey was done in Kelkit County, in northeastern Turkey. The performances of the beekeeping farms were evaluated by cost, profitability and efficiency analysis. The cost of a unit of honey was US$3.16 and the average price paid to the beekeepers was US$6.78. The absolute and relative profits were calculated as US$3.62 and US$2.14, respectively. The efficiency of the beekeeping farms was measured using Data Envelopment Analysis. The results of output- and input-oriented constant return-to-scale (CRS) analysis indicated an average efficiency value of 59.34%. The output- and input-oriented variable return-to-scale (VRS) analysis showed average efficiencies of 75.42% and 78.95%, respectively. The efficiency of the beekeeping farms and the beekeeping experience were positively correlated. Both the output- and input-oriented VRS analysis showed that a significant part of the beekeeping farms would approach full effectiveness with a potential improvement of at least 10% both in gross production value, number of hives and variable costs. Improvement suggestions for outputs and inputs are directed towards reduction of all variables except gross production value. Copyright 2021 Zoological Society of Pakistan.
- MakaleYalnız künye2021Analysis of Mining Lost Time Incident Duration Influencing Factors Through Machine Learning
Kahraman, Muhammet Mustafa
Despite technological advancements and organizational adjustments, lost time accidents are major issues in occupational safety. However, there is very limited work that focuses on variables influencing days lost as a result of occupational accidents. In this study, decision tree and artificial neural network methods were used as machine learning techniques to investigate the impact of factors on accident lost day duration. Degree of injury, worker age, and worker activity were found to be the top three variables impacting loss of time from work. It was also identified that the mining method, location, and nature of injury had a moderate influence on duration lost due to occupational accidents. However, worker experience and ore type did not have any significant impact on the duration, which is an unexpected result. These results confirmed that some accident factors that might have a large influence on the number of mine accidents can be less critical when it comes to accident lost day duration.
- MakaleAçık Erişim2021Predicting stock prices using machine learning methods and deep learning algorithms: The sample of the istanbul stock exchange
Demirel, Ugur; Cam, Handan; Unlu, Ramazan
Stock market prediction in financial and commodity markets is a major challenge for speculators, investors, and companies but also profitable with an accurate prediction. Thus, obtaining accurate prediction results becomes extremely important especially while the stock market is essentially volatile, nonlinear, complicated, adaptive, nonparametric and unpredictable in nature. This study aims to forecast the opening and closing stock prices of 42 firms listed in Istanbul Stock Exchange National 100 Index (ISE-100) using well-known machine learning methods, Multilayer Perceptrons (MLP) and Support Vector Machines (SVM) models and deep learning algorithm, Long Short Term Memory (LSTM) by comparing their forecasting performances. The analysis includes 9 years of data from 01.01.2010 to 01.01.2019. For each firm 2249 data for the opening and 2249 for the closing stock prices were established as daily data sets. Forecasting performance of these methods was evaluated by applying different criteria for each model: root mean squared error (RMSE), mean squared error (MSE) and R-squared (R2). The results of this study show that MLP and LSTM models become advantageous in estimating the opening and closing stock prices comparing to SVM model.
- MakaleYalnız künye2021Nature of the Early Cretaceous lamprophyre and high-Nb basaltic dykes, NE Turkey: Constraints on their linkage to subduction initiation of Neotethyan oceanic lithosphere
Karsli, Orhan; İlhan, Mehdi; Kandemir, Raif; Dokuz, Abdurrahman; Aydin, Faruk; Uysal, İbrahim; Duygu, Levent
Late Mesozoic evolution of the Neotethys Ocean is critical and still remains unclear along the entire Sakarya Zone (SZ), Turkey, because previous interpretations of the Middle to Late Jurassic rifting of the SZ have not been consensually accepted. We identified, for the first time, the Early Cretaceous dykes intruded into the Late Jurassic and Late Carboniferous bodies in the Çamlıkaya (Erzurum) area in the SZ. Here, we present a data set of new field observations, 40Ar/39Ar geochronology, whole-rock geochemical and Sr–Nd isotopes to find out the tectonic setting of previously undated basic to intermediate igneous rocks. 40Ar/39Ar technique on the groundmass separations yielded the plateau ages of 128.78 ± 1.02 to 122.89 ± 0.82 Ma. The investigated dykes are compositionally divided into two sub-groups: calc-alkaline lamprophyres (CAL) and high-Nb alkaline basalts (HNB). They show enrichment in large ion lithophile elements (LILE: e.g., Rb, Ba, K) and depletion in high field strength elements (HFSE: Nb and Ti) as well as moderate fractionation of light rare earth elements relative to heavy rare earth elements. The HNB have high Mg# (47–66), and relatively unradiogenic Sr [87Sr/86Sr(t) = 0.70385 to 0.70510] and Nd [εNd(t) = +0.5 to +5.3] isotopic composition, whereas the CAL possess moderate to high Mg# (32–72), and relatively high Sr [87Sr/86Sr(t) = 0.70586 to 0.71379] and Nd [εNd(t) = +1.5 to −9.9] isotopic composition. Early Cretaceous high-angle subduction triggered upwelling of the asthenosphere at 126 Ma, which likely generated a heat anomaly. This anomaly has probably induced melting of the oceanic slab and the metasomatized mantle to form the CAL and HNB. The HNB were generated by low degrees of melting of mantle domain that was previously reacted by oceanic slab-related adakitic melts at the depths of the garnet stability field (≥70 km). However, the CAL were probably formed at shallower mantle levels within the garnet-amphibole field by a relatively higher degree of melting of the mantle, also modified by subducted slab sediments. A new field, age, and petrochemical data from the Early Cretaceous dykes, combined with the presence of Aptian deep-water sediments to the north and the Late Jurassic-Early Cretaceous platform carbonates deposited in the passive margin setting along the entire SZ, imply the initiation of active-margin magmatism in the SZ. We suggest that the coexistence of the Early Cretaceous CAL and HNB points to the formation of an Andean-type active margin above a north-dipping Neotethyan oceanic slab. Their emplacement ages are associated with the inception of the magmatic arc structure and refer to a significant geodynamic turnover from passive-margin to active-margin tectonics along the SZ.
- MakaleAçık Erişim2021A data-driven multi-regime approach for predicting energy consumption
Kahraman, Abdulgani; Kantardzic, Mehmed; Kahraman, Mustafa; Kotan, Muhammed
There has been increasing interest in reducing carbon footprints globally in recent years. Hence increasing share of green energy and energy efficiency are promoted by governments. There-fore, optimizing energy consumption is becoming more critical for people, companies, industries, and the environment. Predicting energy consumption more precisely means that future energy management planning can be more effective. To date, most research papers have focused on predicting residential building energy consumption; however, a large portion of the energy is consumed by industrial machines. Prediction of energy consumption of large industrial machines in real time is challenging due to concept drift, in which prediction performance deteriorates over time. In this research, a novel data-driven method multi-regime approach (MRA) was developed to better predict the energy consumption for industrial machines. Whereas most papers have focused on finding an excellent prediction model that contradicts the no-free-lunch theorem, this study concentrated on adding potential concept drift points into the prediction process. A real-world dataset was collected from a semi-autonomous grinding (SAG) mill used as a data source, and a deep neural network was utilized as a prediction model for the MRA method. The results proved that the MRA method enables the detection of multi-regimes over time and provides a highly accurate prediction performance, thanks to the dynamic model approach.
- MakaleAçık Erişim2021Fatigue analysis of the vehicle brake disc; [Araç fren diskinin yorulma analizi]
Karabudak, Filiz
In this study, the fatigue analysis of the vehicle brake disc was simulated using the finite element program, and life calculations were made in accordance with the analysis. The main purpose is to simulate experimental tests, which take a long time to result, in the computer environment and to obtain results in a short time and at a very low cost. With the help of the ANSYS computer program, which operates with the finite element logic, the disk brake system was created in three dimensions, and the boundary conditions closest to reality were determined and analyzed using the finite element method. In the disc brake system selected, the data obtained by conducting stress, fatigue life, and safety coefficient analyses in line with the forces formed on the wheel and the vehicle during braking were examined. According to the analysis results, our brake disc is in different life ranges in accordance with the material used and the load applied, and when the force is increased, the life decreases and vice versa.
- MakaleAçık Erişim2021Investigation of the effect of urbanization on land surface temperature example of Bursa
Yamak, Beyzanur; Yagci, Zekeriya; Bilgilioglu, Burhan Baha; Comert, Resul
Today, industrialization and urbanization in large cities cause an increase in the surfaces covered with man-made objects such as concrete and asphalt. The expansion of urban areas and increase in the using materials with high heat storage properties, directly affect the Land Surface Temperature (LST), which shows an increase in the sensible temperature of the region. LST is directly connected to the natural green vegetation of the land and varies widely in large urban areas, these differences related to the temperature is defined as the ‘urban heat island’. In this study, it was investigated the temporal variation of land surface temperature due to urbanization. Bursa, which is considered as a study area, has shown a rapid population increase since 1990 and a rapid increase in the number of buildings with the impact of urbanization and industrialisation. To determine the effect of this urbanization and industrialisation on land surface temperature, temporal change analysis of the surface temperature in the Bursa was observed with Landsat satellite images of 1988, 1998, 2008 and 2018. From produced maps, it was observed that the amount of green vegetation in urban areas decreased and as a consequence of this decrease, the surface temperature increased in the urban areas.
- MakaleAçık Erişim2021A single-valued neutrosophic multicriteria group decision approach with DPL-TOPSIS method based on optimization
Rıdvan, Şahin; Fuat, Aslan; Gökçe Dilek, Küçük
Due to the uncertainty of human subjective judgments, it is sometimes very difficult to obtain accurate evaluation information. The technique for order preference by similarity to ideal solution (TOPSIS) is one of the functional methods used to solve the multicriteria decision-making (MCDM) problems. However, the traditional TOPSIS is based only on a distance measure and takes into account neither a similarity measure nor a likelihood measure. Therefore, in this article, we define two new information measures which are called as the projection and divergence and more functional than some other existing ones in the neutrosophic sets. Then we develop an innovative TOPSIS (DPL-TOPSIS) based on the hybrid closeness coefficient which is an optimization of the divergence (distance), projection (similarity), and likelihood (magnitude) closeness coefficients that can also use separately to make the decision in neutrosophic environment. To develop the DPL-TOPSIS, we define three kinds of analogical factors: the distance-like positive and negative divergence decision-making factors, the similarity-like positive and negative projection decision-making factors, and the magnitude-like positive and negative likelihood decision-making factors. In addition, we provide an objective weight determination model to determine expert judgment with the proposed divergence measure. Finally, to demonstrate the functionality of the developed DPL-TOPSIS, an application has been made on selection of the masks used as one of the protection methods in the COVID-19 epidemic, which has recently affected our world, and the results are compared with other existing methods.
- DüzeltmeYalnız künye2021Corrigendum to “The effect of reiki on pain: A meta-analysis” [Compl. Ther. Clin. Pract. 31C (2018) 384–387] (Complementary Therapies in Clinical Practice (2018) 31 (384–387), (S1744388117303626), (10.1016/j.ctcp.2018.02.020))
Demir Doğan, Melike
The authors wish to inform that the correct abstract for the article is given below: Objective: Pain is one of the most common symptoms and may lead to important psychological, mental, and physiological problems in individuals. According to data by The Center for Reiki Research, Reiki is an effective approach to decrease the levels of pain, depression, and anxiety. Therefore, the aim of this meta-analysis was to investigate the effect of Reiki on pain level. Methods: Randomized controlled clinical trials in databases of Pubmed, ISI Web of Sciences, and Google Scholar were investigated. Four randomized controlled studies which involving 212 participants were included in the meta-analysis. Results: The result obtained after the final Reiki application was evaluated in VAS pain score. When Reiki (n = 104) group was compared with control group (n = 108), standardized mean difference was observed to be −0.927 (95% CI: −1.867 to 0.0124). Conclusion: Consequently, meta-analysis shows there is a trend towards lower pain scores after Reiki intervention. It is recommended to repeat the study when the number of studies with specific patient groups and types of pain increase. The authors would like to apologise for any inconvenience caused.
- MakaleYalnız künye2021Comparison of various turbulence model performance in computational fluid dynamics analyses of the oxidation ditches with experimental validation
Şibil, Rahim; Aras, Egemen; Kankal, Murat
Experimental and numerical studies were carried out to determine the full-scale Oxidation Ditch (OD) hydrodynamics considering various turbulence models. Firstly, the experimental work was carried out in a full-scale plant by Acoustic Doppler Velocimeter (ADV) for field-measurements. Secondly, the experimental data was used to validate numerical models by using Computational Fluid Dynamics (CFD) software Ansys Fluent. Eight different turbulence models were compared in the numerical study to predict full-scale hydrodynamics. Results showed that standard k-ε, renormalization group k-ε, realizable k-ε turbulence models gave more accurate prediction results with relative errors of 13 %, 17 %, and 18 % respectively, whereas the standard k-ω turbulence model gave the worst prediction results with 39 % relative error. This study also shows that the velocities in the ODs are very low without external force such as air diffusers, rotors, and mixer and there is no homogeneous flow field distribution in the ODs. Moreover, the maximum wastewater velocities occurred at the inlet and outlet.
- MakaleYalnız künye2021Health research in vegan women
Özcan, Handan; Elkoca, Ayşe; Şahan, Özlem; Yilmaz, Sibel; Erişen, Begüm
Study Objectives: This planned research aimed to identify the conditions for women’s health in women who prefer vegan diets. Method: The study consists of vegan women and the sample consists of a total of 150 women who agreed to participate in the study. The data was collected through a questionnaire consisting of 34 questions. Associations and vegan women were reached out via social media. Results: The average age of the participants was 28.96±8.50 and 33.3% were married. The average year in which women continue to eat vegan is 3.29±5.25. 62% of vegan women stated that their menstrual periods were painless, 87.3% stated that their menstrual periods were regular, and 75.3% stated that they did not have any gynecological diseases. The most common complaints in vegan women are stress and anxiety (27.1%), continuous discharge (27.1), depression (25), polycystic ovary syndrome (20.8), urinary tract infection (20.8), and fibroids (12.5). 18% of vegan women had been diagnosed with anemia, of which 18.8% used anemia treatment. Conclusion: It was found that vegan women did not have many complaints in terms of gynecology while existing complaints were similar or even lower in terms of disease rates seen in the total population. The study group’s high level of education and awareness and regular health checkups are among the factors affecting the results. The low vegan diet averages of the women covered in the study and the fact that a greater number of women were out of reach show the limitations of the study.
- BildiriYayıncıda açık erişim2021On stable difference scheme for identification elliptic problem with integral and second kind boundary condition
Ashyralyyev, Charyyar; Cakalli, H.; Kocinac, L.D.R.; Ashyralyev, A.; Harte, R.; Dik, M.; Canak, I.; Kandemir, H.S.; Tez, M.; Gurtug, O.
In this study, the first order of accuracy difference scheme for approximate solution of source identification elliptic problem with integral and second kind boundary conditions is considered. Stability and coercive stability estimates for solution of the difference scheme are described. Moreover, test example with computation results is given.
- MakaleYalnız künye2021Geo-spatial multi-criteria evaluation of wave energy exploitation in a semi-enclosed sea
Şan, Murat; Akpınar, Adem; Bingölbali, Bilal; Kankal, Murat
The present study aims to determine priority areas for installation of wave energy converters (WECs) in a semi-enclosed sea using a multi-criteria, spatial, decision-making analysis based on geographical information systems (GIS). The study also suggests a new methodology for determination of suitable areas for WECs taking into consideration different extreme wave conditions, intra-annual variation of wave conditions, and operational range of wave conditions by the WECs. A case study over a distance of 1140 km along the coast in the southwest Black Sea is presented. In the multi-criteria analysis, areas with environmental, economic, technical and social constraints are excluded. Ocean depth, distance to ports, shore, power line, and sub-station, wave climate, and sea-floor geology are all evaluated for their impact on the system implementation and weighted according to their relevance. Thus, the final suitability index (SI) map is produced and spatial statistical significance of the suitable areas is checked using hotspot analysis. Based on this, Kırklareli coastal area and the area between İğneada Cape and Kıyıköy village are determined as primary priority areas. The sustainability parameters with different weights proposed in this study do not differentiate priority areas but affect the SI scores.
- MakaleYalnız künye2021A robust data simulation technique to improve early detection performance of a classifier in control chart pattern recognition systems
Ünlü, Ramazan
The quality control process is essential in maintaining the stability of production systems and proactively detecting abnormalities that may result in high mechanical and labor costs. In this study, a new data simulation strategy was devised to improve the early prediction performance (EPP) of an algorithm. Traditional control chart data simulation methods work based on creating abnormal patterns consisting of only abnormal signals. However, a classifier trained with data samples consisting of only abnormal data signals may fail to early detect abnormality in a real-time production line, in which abnormal signals is obscured by volume of normal signals. From this perspective, training a model by imitating real-world cases can improve the performance of an algorithm in terms of early detection of an abnormality. Normal and abnormal patterns were simulated by implementing a new approach called Mix Ratio Data Simulation (MRDS). The proposed methodology MRDS is compared with the customary data simulation method under the predefined scenarios in terms of EPP. The findings indicated that changing the way of simulating dataset increases the EEP of the machine-learning algorithm regardless of abnormality types and parameters.
- MakaleYalnız künye2021Geochronology, petrogenesis and tectonic importance of Eocene I-type magmatism in the Eastern Pontides, NE Turkey
Vural, Alaaddin; Kaygusuz, Abdullah
Eastern Pontides are hosted to many granitoids with different composition, size and age ranges from Paleozoic to Cenozoic. Of these granitoids, especially those of the Cenozoic age are commonly observed in the southern part of the Eastern Pontides, and rarely in the northern part. This paper focuses on the Eocene aged Avliyana Granitoid, located south of the Eastern Pontides, intruding into Late Cretaceous and Eocene volcanic and sedimentary rocks. The Avliyana Granitoid is mainly diorite and tonalite and composed of plagioclase, quartz, orthoclase, hornblende, biotite, pyroxene, and Fe-Ti oxides. It shows granular, locally poikilitic and micrographic texture. The Avliyana Granitoid has I-type, medium to high-K calc-alkaline, and metaluminous character, and has a narrow SiO2 contents (57–64 wt.%). The rocks are enriched in light rare earth elements (LREEs) and large-ion lithophile element (LILEs), and depleted in high field strength elements (HFSEs). Chondrite-normalized REE distributions are concave shaped (LaN/LuN = 5.87–11.92) and show negative Eu anomaly (Eu / Eu * = 0.55–0.81). Geochemical results show that plagioclase, pyroxene, hornblende, and Fe-Ti oxide fractionation are effective in the development of the rocks. The εNd(i) values of the rocks are between – 1.0 and – 0.1, 87Sr/86Sr(i) values are between 0.70531 and 0.70563, and the model ages (TDM) are between 0.79 and 0.93. U-Pb SHRIMP zircon ages of the Avliyana Granitoid rocks range from 45.60 ± 0.55 to 44.75 ± 0.36 Ma. In calculations made from zircon and apatite, the crystallization temperatures vary between 714 and 867 °C. The data revealed that the parental magma of the Avliyana Granitoid was derived from the enriched lithospheric mantle, and fractional crystallization and lesser assimilation played a role in the evolution of the rocks.
- MakaleAçık Erişim2021Phenolic contents and biological activities of two endemic plants in Turkey
Acet, Tuba; Çorbacı, Cengiz; Özcan, Kadriye
In the paper, the phenolic compounds and biological activity of Corydalis oppositifolia DC. and Senecio cilicius Boiss., the endemic plants growing in Turkey, were investigated for the first time. The ethanol extract of C. oppositifolia exhibited more potent antimicrobial activity while the ethanol extract of S. cilicius exhibited the highest radical scavenging activity on ABTS (81.4±1.1a mg TE g−1 extract) and DPPH (23.4±0.2a mg TE g−1 extract). In C. oppositifolia, the highest total flavonoid and phenolic acid contents were found to be in the ethanol (94.2±3.5a mg QE g−1 extract) and methanol (320.5±3.3c mg GAE g−1 extract) extracts, respectively. In S. cilicius, the highest total flavonoid and phenolic acid contents were found to be in the methanol (56.9±0.9c mg QE g−1 extract) and ethanol (568.0±3.3a mg GAE g−1 extract) extracts, respectively. The ethanol extract of C. oppositifolia has the most prominent activity against α-amylase, AChE and BChE whereas the methanol extract of this plant displayed the highest inhibitory activity against α-glucosidase. HPLC analysis of the ethanol extracts revealed that the major flavonoids were kaempferol and quercetin whereas the major phenolic acids were protocatechuic acid, gallic acid, gentistic acid and 2,4-dihydroxybenzoic acid. The findings suggested that the plants and their extracts have the potential to be used in the treatment of diseases such as diabetes and Alzheimer's diseases.