Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Bulut, Hasan(53)
- Baskonus, Haci Mehmet(52)
- Alataş, Mevlüt(39)
- Gul, Muhammet(39)
- Serdar, Osman(38)
- Güler, Ömer(37)
- Akkurt, Nevzat(31)
- Benzer, Fulya(30)
- Sulaiman, Tukur Abdulkadir(29)
- Yucesan, Melih(29)
- Zengin, Gokhan(29)
- Kocabaş, Mehmet(28)
- Topal, Murat(26)
- Batan, Nevzat(25)
- Kök, Mediha(25)
- Ezer, Tülay(24)
- Paksoy, Mehmet Yavuz(24)
- Yildirim, Ozal(23)
- Tekin, H.O.(22)
- Utku, Anıl(22)
- ALMisned, Ghada(21)
- Ince, Muharrem(21)
- Öbek, Erdal(21)
- Erten, Fusun(20)
- Aslan, Naim(19)
- Celik, Erkan(19)
- Yildirim, Numan(19)
- Cakilcioglu, Ugur(18)
- Dal, Murat(18)
- Dal, Nursel Alp(18)
- Sahin, Kazim(18)
- Özkaynak, Fatih(18)
- Aslan, Alper(17)
- Erata, Hüseyin(17)
- Orhan, Cemal(17)
- Ergen, Burhan(16)
- Tanyol, Mehtap(16)
- Demir, Yakup(15)
- Etli, Serkan(15)
- Işık, Erdem(15)
Yayınlar
- MakaleAçık Erişim2022Scopus SJRQ1A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: The colombian case
Ortiz-Barrios, Miguel; Gul, Muhammet; Yucesan, Melih; Alfaro-Sarmiento, Isaac; Navarro-Jiménez, Eduardo; Jiménez-Delgado, Genett
The recent increase in the number of disasters over the world has once again brought to the agenda the question of preparedness of the hospitals, which are the most necessary units of healthcare pillar to resist these disasters. The COVID-19 epidemic disease, which has affected the whole world, has caused a large number of people to die in some countries simply because of the inadequate and incomplete planning and lack of readiness of hospitals. For this reason, determining the disaster preparedness level of hospitals is an important issue that needs to be studied and it is important in terms of disaster damage reduction. In this study, a fuzzy hybrid decision-making framework is proposed to assess hospital disaster preparedness. The framework covers three important decision-making methods. For the first phase, Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) is used to assign relative weights for several disaster preparedness criteria considering uncertainty. Secondly, Intuitionistic Fuzzy Decision Making Trial and Evaluation Laboratory (IF-DEMATEL) is applied to identify interrelations among these criteria and feedback. Finally, via the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, priorities of hospitals regarding disaster readiness are obtained. A case study involving the participation of 10 Colombian tertiary hospitals is carried out to show the applicability of this fuzzy hybrid approach.
AtıfScopus27WoS24OpenAlex34
İncele - MakaleAçık Erişim2022Scopus SJRQ2An ethnobotanical review on medicinal plants of the Lamiaceae family in Turkey
Selvi, Selami; Polat, Rıdvan; Çakilcioğlu, Uğur; Celep, Ferhat; Dirmenci, Tuncay; Ertuğ, Zafer Füsun
Medicinal plants have been used by humans for the treatment of various diseases for thousands of years from past to present. Members of the Lamiaceae family are among the most preferred medicinal plants due to the wide variety of secondary components they contain, particularly essential oils. In this review, Master’s and PhD theses and books based on ethnobotanical studies investigated between 1960 and 2021 as well as internationally recognized databases (PubMed, Scopus, Google Scholar, Web of Science, SciFinder, Springer and Elsevier) were used to determine the medicinal uses of Lamiaceae taxa among the people in Turkey. As a result of the study, it was found that a total of 221 taxa (192 species) belonging to 29 genera, 51 of which are endemic, have medicinal/therapeutic uses. The local names of these taxa, the usage which are used among the people, the diseases in which they are used, and the geographical regions given in the present study. The genera of taxa most commonly used for medicinal purposes by the local people are Salvia (37 taxa), Sideritis (25 taxa), Stachys (22 taxa), Thymus (16 taxa) and Origanum (13 taxa). It was observed that the most frequently used two methods while preparing these plants for use was infusion (61%), and decoction (24%). Studies conducted on National (TURK, BHP), Regional (EU) and International Pharmacopoeias (WHO) and various monographs (AHP, COMISSION E, EMA, ESCOP, PDR) have revealed that there are 29 taxa included in these pharmacopoeias and monographs whose purpose of use are similar to the diseases that local people are trying to treat. Diseases that people use plants for therapeutic purposes are grouped into 12 categories. It was determined that these plants were widely used for therapeutic purposes in gastric disorders as well as otolaryngology and respiratory system diseases. This review briefly discusses whether some taxa commonly used by the local people in the treatment of diseases can be useful in the treatment of the disease in question, in the light of scientific studies.
AtıfScopus101OpenAlex101TR Dizin21
İncele - Derleme MakaleAçık Erişim2022Scopus SJRQ4Multifunctional role of Nobiletin in cancer chemoprevention
Malik, Durr-E-Shahwar; Attar, Rukset; Ozbey, Ulku; Romero, Mirna Azalea; Yulaevna, Ishmuratova Margarita; Purenovic, Jelena
The diversity of highly bioactive and pharmacologically active natural products which recognize essential biological targets having exquisite specificity, constitutes a massive pharmacological database for discovery of valuable drugs. The rapid accumulation of information has revealed chemopreventive role of nobiletin against wide variety of cancers. Recent efforts are now being expanded and new integrative omics technologies have illuminated continuously upgrading list of molecular mechanisms which underlie carcinogenesis and metastasis. In this mini-review, we explore the progress that has been made in the identification of promising molecular targets of nobiletin.
AtıfScopus5OpenAlex4İncele - MakaleAçık Erişim2022Coding in Preschool Science and Mathematics Teaching: Analysis of Scratch Projects of Undergraduate Students
Cırıt, Didem Karakaya
This paper analyzed Scratch projects developed by undergraduate students. The sample consisted of 22 child development students (18 women and four men) in the 2018-2019 academic year. The study adopted an action research design within the scope of a course titled “Teaching Science and Mathematics in Preschool Education.” The research was conducted within 14 weeks. In the first four weeks, we provided participants with training on why and how to use Scratch in science and mathematics teaching. In the following ten weeks, participants designed Scratch projects every week based on age groups, topics, and learning outcomes of their choice. Participants evaluated their projects themselves and also received feedback from peers and academics. Each participant designed ten Scratch projects (five for math and five for science). The data consisted of 220 Scratch projects and design logs. The study included a thematic content analysis. In the first weeks, participants knew little about the content of Scratch and used one or two characters and mostly control and look blocks. In the following weeks, they learned more about Scratch and used different blocks.
AtıfScopus2OpenAlex2İncele - Kitap BölümüAçık Erişim2022Fungal Exopolymeric Substances and Their Applications
Topal, Murat; Arslan Topal, E. Işıl
Exopolymeric substances that are also known as extracellular polymeric substances, extracellular polysaccharides, exopolymers, and exopolysaccharides are produced by various microorganisms. They primarily include polysaccharides, lipids, nucleic acids, and proteins. Exopolymeric substances protect microorganisms from various environmental stresses. Exopolymeric substances have unique characteristics. Some of the functional properties of them include adhesion, aggregation, binding activity, energy and nutrient source, water retention, and sorption. One of the exopolymeric substances is fungal exopolymeric substances. The fungal exopolysaccharides are pullulan, scleroglucan, fungal β-glucans, botryosphaeran, and others. The fungal exopolymeric substances are valuable products because of their different application areas such as industries of medical, cosmetic, food, wastewater treatment and agriculture.
- MakaleAçık Erişim2022Scopus SJRQ2Tangent hyperbolic non-Newtonian radiative bioconvection nanofluid flow from a bi-directional stretching surface with electro-magneto-hydrodynamic, Joule heating and modified diffusion effects
Prakash, J.; Tripathi, Dharmendra; Akkurt, Nevzat; Bég, O. Anwar
Motivated by bio-inspired nano-technological functional coating flows, in the current paper a theoretical study of laminar, steady, incompressible bioconvection flow of a tangential hyperbolic (non-Newtonian) nanofluid from a bi-directional stretching surface under mutually orthogonal electrical and magnetic fields is presented. Nonlinear thermal radiation, Joule heating and heat source/sink effects are included. Non-Fourier and non-Fickian models are also implemented which feature thermal and solutal relaxation. Buongiorno’s nanoscale model is adopted which features thermophoresis and Brownian motion effects. Rosseland’s model is employed for thermal radiation. The electro-viscous effects arising from the distortions of the double-capacitance electric flow field are addressed with a modified formulation of the Poisson–Boltzmann equation. Via appropriate similarity transformations, the coupled, nonlinear partial differential conservation boundary layer equations and wall and freestream boundary conditions are rendered into a nonlinear ordinary differential boundary value problem which is solved numerically with an efficient numerical Lobatto—IIIa collocation method available in the MATLAB bvp4c shooting solver. Validation with previous studies is included. Velocity is strongly damped with increasing buoyancy ratio and bioconvection Rayleigh number is generally greater with positive rather than negative electrical field parameter. Increasing the Eckert number reduces the density of motile microorganisms while raising the temperature. An increment in Brownian motion and radiative parameters strongly accentuates temperatures.
AtıfScopus36WoS33OpenAlex35İncele - MakaleAçık Erişim2022Scopus SJRQ2Potential human health risks of toxic/harmful elements by consumption of Pseudevernia furfuracea
Topal, Murat; Arslan Topal, E. Işıl; Öbek, Erdal; Aslan, Ali
The potential human health risks of some toxic/harmful elements related to the consumption of Pseudevernia furfuracea (L.) Zopf. were investigated. The toxic/harmful elements (cadmium (Cd), chromium (Cr), copper (Cu), lead (Pb), manganese (Mn), nickel (Ni), and zinc (Zn)) were determined in P. furfuracea. According to the analysis result, the maximum (max.) toxic/harmful element value was 62 ± 3.1 mg/kg for Mn and minimum (min.) value was 0.19 ± 0.01 mg/kg for Cd. The estimated daily exposure doses (EDEXDs) for men, women and children were dietary (bread) > dietary (tea) > dermal. For dietary (bread) and dietary (tea) non-carcinogenic (HQ) risk was children > women > men. For dermal, HQ risk was women > children > men. Hazard index (HI) value for men was >1 for Cr. HI value for men was 1.36 for Cr. HI value for women was >1 for Cr and Mn. HI values for women were 1.54 for Cr and 1.01 for Mn. Also, the HI value for children was >1 for Cr, Mn, and Pb. HI values for children were 3.44 for Cr, 2.24 for Mn, and 1.66 for Pb. This situation showed that there was a non-carcinogenic risk. Carcinogenic risk values were dietary (bread) > dietary (tea) > dermal. The total max. carcinogenic value was 1.97E-03 for Cr while the total min. carcinogenic value was 1.31E-05 for Pb. As a result, it has been determined that there may be a risk of cancer due to the consumption of lichen as bread and this situation may adversely affect human health.
AtıfOpenAlex2İncele - MakaleAçık Erişim2022Characterization of carbon fiber reinforced conductive mortars filled with recycled ferrochrome slag aggregates
Doğan, Fatih; Dehghanpour, Heydar; Subaşi, Serkan; Maraşli, Muhammed
Recently, it has been known that carbon fiber, a conductive fiber, is used in different mixture designs and the development of electrically conductive cementitious materials. Howev-er, the evaluation of ferrochrome slag as a recycled aggregate in the mixture of these special concretes has still not been investigated. In this study, electrically conductive mortars were produced using 100% recycled ferrochrome slag aggregate with a particle size of less than 1 mm as filling material and using carbon fiber in 4 different ratios, 0%, 0.5%, 0.75%, and 1%. To investigate the electrical conductivity properties, the resistivity values of the samples were measured at five different times within 2–180 days. In addition, 28-day compressive strength, flexural strength, dynamic resonance, ultrasonic pulse velocity, Leeb hardness, scanning elec-tron microscope, and X-Ray Diffraction tests were performed on all samples. The results were compared with the literature, proving that ferrochrome slag could be used as a reasonable aggregate in conductive mortars. The age effect was minimal in CF-added mixtures. With the addition of 1% CF, the resistivity values decreased approximately 40 times compared to the ref-erence. Moreover, SEM analyses of the CF-0.75 sample showed that the CFs adhered to form a conductive network between the components in the ferrochrome-filled compact structure.
AtıfScopus10TR Dizin5İncele - MakaleAçık Erişim2022Scopus SJRQ3A multi-parameter Generalized Farlie-Gumbel-Morgenstern bivariate copula family via Bernstein polynomial
Susam, Selim Orhun
In this paper, we are proposing a flexible method for constructing a bivariate generalized Farlie-Gumbel-Morgenstern (G-FGM) copula family. The method is mainly developed around the function ϕ(t) (t ∈ [0, 1]), where ϕ is the generator of the G-FGM copula. The proposed construction method has useful advantages. The first of which is the direct relationship between the ϕ function and Kendall’s tau. The second advantage is the possibility of constructing a multi-parameter G-FGM copula which allows us to better harmonize empirical instruction with the model. The construction method is illustrated by three real data examples.
AtıfScopus16WoS15OpenAlex15İncele - MakaleAçık Erişim2022Scopus SJRQ1An interval type-2 fuzzy enhanced best–worst method for the evaluation of ship diesel generator failures
Yucesan, Melih; Başhan, Veysi; Demirel, Hakan; Gul, Muhammet
The environmental destruction in our century necessitates the implementation of more safety-based rules and the strict implementation of failure analysis, especially in the maritime sector. The generator system, considered the ship's powerhouse, is expected to be ready and well-maintained for efficient and safe operations. This study proposes a new methodology to analyze ship generator failures. This method includes a version of the best-worst multi-criteria decision-making method enriched with interval type-2 fuzzy logic (IT2FE-BWM). Enrichment with interval type-2 fuzzy numbers shows that a parameter about how much the decision-maker trusts the pairwise comparisons are added to the model. Thus, a more sensitive methodology has been proposed for the confidence of the maritime sector evaluators. A solid decision mechanism has been developed to prioritize generator failures. In addition, a comparison study with some other BWM derivatives and a creative sensitivity analysis were added to this study and its robustness was tested.
AtıfScopus25OpenAlex24İncele - MakaleAçık Erişim2022Scopus SJRQ1Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network
Imak, Andac; Celebi, Adalet; Siddique, Kamran; Turkoglu, Muammer; Sengur, Abdulkadir; Salam, Iftekhar
Panoramic and periapical radiograph tools help dentists in diagnosing the most common dental diseases, such as dental caries. Generally, dental caries is manually diagnosed by dentists based on panoramic and periapical images. For several reasons, such as carelessness caused by heavy workload and inexperience, manual diagnosis may cause unnoticeable dental caries. Thus, computer-based intelligent vision systems supported by machine learning and image processing techniques are needed to prevent these negativities. This study proposed a novel approach for the automatic diagnosis of dental caries based on periapical images. The proposed procedure used a multi-input deep convolutional neural network ensemble (MI-DCNNE) model. Specifically, a score-based ensemble scheme was employed to increase the achievement of the proposed MI-DCNNE method. The inputs to the proposed approach were both raw periapical images and an enhanced form of it. The score fusion was carried out in the Softmax layer of the proposed multi-input CNN architecture. In the experimental works, a periapical image dataset (340 images) covering both caries and non-caries images were used for the performance evaluation of the proposed method. According to the results, it was seen that the proposed model is quite successful in the diagnosis of dental caries. The reported accuracy score is 99.13%. This result shows that the proposed MI-DCNNE model can effectively contribute to the classification of dental caries.
AtıfScopus107İncele - MakaleAçık Erişim2022Scopus SJRQ2The role of cross-sectional geometry of high-head gated conduit in oxygen transfer efficiency
Baylar, Ahmet; Ozkan, Fahri; Yildirim, Ceren Beyza; Aydin, Alp Bugra; Tuna, Muhammed Cihat; Ozturk, Mualla
The concentration of dissolved oxygen is an important indicator of water quality because aquatic life lives on the dissolved oxygen in the water. This can be achieved by using hydraulic structures because of substantial air bubble entrainment at these structures. Closed conduit aeration is a particular instance of this. In the present study, experiments were carried out to investigate the role of cross-sectional geometry of high-head gated conduit in oxygen transfer efficiency. In the first part of this study, the role of cross-sectional geometry of high-head gated conduit in air-demand ratio was investigated. In the second part, the role of cross-sectional geometry of high-head gated conduit in oxygen transfer efficiency was investigated. Results pointed that the cross-sectional geometry of the high-head gated conduit had an important effect on the air-demand ratio and the oxygen transfer efficiency. Moreover, a design formula was obtained for the conduit having the highest oxygen transfer efficiency relating the oxygen transfer efficiency to air-demand ratio, Froude number, gate opening, conduit length and gate opening ratio. There was good agreement between the measured and the predicted values. The obtained results will be useful in future modelling processes and aid the practicing engineer in predicting oxygen transfer efficiency of high-head gated conduits.
AtıfScopus10WoS11OpenAlex11İncele - MakaleAçık Erişim2022Scopus SJRQ3Karyotype Analysis of Five Bellevalia Lapeyr. Species (Asparagaceae) from Turkey
Eroğlu, Hüseyin; Pınar, Süleyman Mesut; Dogan, Gulden; Yavuz Paksoy, M.; Kiran, Yasar
The chromosome numbers and karyotypes of five species of the genus Bellevalia distributed in Turkey were analyzed. These taxa are B. anatolica B. Mathew & Özhatay, B. fominii Woronow, B. kurdistanica Feinbrun, B. rixii Wendelbo, B. turcica Pınar & Eroğlu. Three of them (B. anatolica, B. rixii and B. turcica) are endemic in Turkey. The chromosome numbers of all studied taxa were determeined as 2n=2x=8. Haploid chromosome lengths varied from 57.78 µm (B. fominii) to 68.17 µm (B. anatolica) among species. Karyotype analysis showed that Bellevalia taxa generally have median (m), submedian (sm), and subterminal (st) chromosomes, but not subterminal chromosomes in B. fominii species.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2022Scopus SJRQ1Optimization of process parameters and kinetic modelling for leaching of copper from oxidized copper ore in nitric acid solutions
TANAYDIN, Mehmet Kayra; TANAYDIN, Zümra Bakıcı; DEMIRKIRAN, Nizamettin
The leaching behavior of Tunceli malachite mineral was investigated in nitric acid solutions by two steps to evaluate the effect of various experimental parameters. In the first step, the optimal conditions for the leaching process were determined, while in the second step, a kinetic evaluation for the process was performed. In the optimization experiments, the concentration of nitric acid, temperature, stirring speed, and solid-to-liquid ratio were selected as the independent variables, and the central composite design method (CCD) was applied to the experimental data. At the end of the experiments, the optimal values for the concentration of nitric acid, temperature, solid-to-liquid ratio and stirring speed were determined to be 0.5 mol/L, 50 °C, 0.004 g/mL and 500 r/min, respectively. Under the optimal conditions, the leaching rate was found to be 99% for 120 min of reaction time. In the kinetic evaluation tests, the effects of the concentration of nitric acid, temperature, stirring speed, solid-to-liquid ratio and particle size on the leaching rate of copper from malachite were investigated. In these tests, it was determined that the leaching rate increased with the increase in the temperature, acid concentration and stirring speed, and with the decrease in the particle size and solid-to-liquid ratio. In consequence of the kinetic analysis, it was observed that the leaching kinetics followed the mixed kinetic model, and a mathematical model for the leaching process was introduced. The activation energy for this process was calculated to be 36.23 kJ/mol.
AtıfScopus18WoS17OpenAlex17İncele - MakaleAçık Erişim2022Scopus SJRQ2Optimization of Electrical Conductivity of SA-graphene Nanocomposites Using Response Surface Methodology
Şahal, Hakan; Torğut, Gülben; Canpolat, Erdal
Synthesis and characterization of 4-{(E)-[(5-bromo-2-hydroxyphenyl)methylidene]amino}-N-carbamimidoylbenzene-1-sulfonamide(SA) and its composites with graphene(SA-GF) were performed. Compound SA and SA-GF were characterized by FTIR and 1H NMR. The GF dispersion in the composites was analyzed by means of scanning electron microscopy(SEM) for morphology. Thermal properties of SA and nanocomposites were investigated using differential thermal analysis(DTA) and thermogravimetric analysis(TGA). The optimum electrical conductivity of the new sulfonamide-based Schiff base was determined to be 1.78×10−5 S/cm at a frequency of 9923 Hz, an applied voltage of −19 V, a mass fraction of 9.38% for graphene loading using a central composite design in the response surface methodology. The significance of the selected parameters(frequency, voltage and GF amount) in the model was determined by the analysis of variance(ANOVA). The results showed that frequency and graphene loading represent important model terms and have considerable effects on the conductivity of SA.
AtıfScopus3WoS3OpenAlex2İncele - MakaleAçık Erişim2022Scopus SJRQ3The epiphytic bryophyte succession of Picea orientalis forests on the Kümbet High Plateau (Giresun-Turkey); [Sukcesija epifitskih briofita u šumama Picea orientalis na visoravni Kümbet (Giresun-Turska)]
Ezer, Tülay; Alataş, Mevlüt; Batan, Nevzat; Erata, Hüseyin
In this study, the epiphytic bryophyte succession of Picea orientalis forests on the Kümbet High Plateau (Giresun-Turkey) were studied. A total of 21 epiphytic bryophyte species were determined (16 mosses and 5 liverworts). The epiphytic bryophyte communities were sampled in 60 sample plots taken from the trunks of Picea orientalis, each of which was 20 × 20 cm in size. The Index of Ecological Significance (IES), based on a combination of the relative frequency and mean cover of epiphytic bryophytes, was used to evaluate the abundance of bryophyte communities in epiphytic habitats on the tree trunks. In addition, multivariate classification techniques (TWINSPAN and DECORANA) were used to classify the community structures in successional stages. TWINSPAN divided the 60 sample plots into two main groups: a) the lower base communities (LB) and b) the middleupper zone communities (MU). Moreover, the middle-upper zone communities (MU) were divided into two sub-groups associated with the successional gradient (MU1 and MU2). DECORANA classified these communities along the ordination axes 1 and 3 related to the height gradient of Picea orientalis and the moisture (from mesic to xeric) gradient of the epiphytic habitat. While Exsertotheca crispa, Cynodontium fallax, Lewinskya striata, and Habrodon perpusillus were only found on old spruce trees, Drepanium fastigiatum was only found on young trees and Lophocolea heterophylla was only found on middle-aged trees.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2022Scopus SJRQ2Synthesis, characterization, and evaluation of antimicrobial performance of N-[3-(dimethylamino)propyl]methacrylamide based copolymer on pathogens
Pıhtılı, Güzin; Erecevit Sönmez, Pınar; Biryan, Fatih; Torğut, Gülben
In this study, poly{N-[3-(dimethylamino) propylmethacrylamide-co-acrylonitrile}; [P(DMAPMA-co-AcN)] copolymer was polymerized by free radical polymerization (FRP) in the presence of azobisisobutyronitrile (AIBN) initiator at 60°C. The structure of the synthesized polymer was characterized by the Fourier transform infrared (FT-IR), differential scanning calorimetry (DSC), and thermogravimetric analysis (TGA) methods. The bactericidal and fungicidal effects of the solutions prepared by adding methanol to this copolymer to prevent the growth of pathogenic bacteria, yeast, and fungi were evaluated by disk diffusion and broth microdilution method. Since the resistance of bacteria, yeast and fungi, which adversely affect human health, to antibiotics is an important issue, and there has not been any study on the antimicrobial properties of this copolymer, it has directed us to investigate its antimicrobial properties. According to antimicrobial susceptibility tests: The polymer solution showed a broad spectrum of antimicrobial action with 12.3–14.3 mm/inhibition zone diameter on Pseudomonas aeruginosa, Klepsiella pneumoniae, Enterococcus faecalis bacteria, Candida tropicalis, Epidermophyton floccosum yeast and fungi and showed a narrow spectrum of effect on inhibition of the growth of Candida albicans with 10.3 mm/inhibition zone diameter. No antimicrobial effects were observed on Staphylococcus aureus. The minimum inhibition concentration (MIC) value on the test microorganisms was determined as 125–31.25 μl. The data obtained prove that the polymer is in the same group as the interaction of bactericidal and fungicidal drugs. It is also important as a polymer with antimicrobial properties. This study aimed to produce a new polymer with antimicrobial properties. This polymer can be a new and yielding antimicrobial representative in different areas.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2022Scopus SJRQ1Geochemical, isotopic and U-Pb geochronological investigation of the late Cretaceous Karaçayır carbonatite (Sivas, Turkey): Insights into mantle sources within a post-collisional tectonic setting
Çimen, Okay; Ağrılı, Haşim; Kuebler, Corinne; Simonetti, Antonio; Corcoran, Loretta; Simonetti, Stefanie; Çolak, Turgut; İnal, Sedat; Dönmez, Cahit
The Karaçayır carbonatite is located within the northeastern edge of the Central Anatolian Crystalline Complex, and represents one of the significant rare earth element (REE) mineralizations in Turkey. The carbonatite intrudes the associated syenite as dikes and veins, and is mainly composed of medium- to coarse-grained calcite, and lesser amounts of apatite, mica, amphibole, pyroxene, and magnetite. This study reports new and combined geochemical, radiogenic (Sr, Pb), stable (O and C), and for the first time B and Nd isotopic ratios and in-situ U-Pb age data from the Karaçayır carbonatite. The carbonate separates from the Karaçayır carbonatite are characterized by high Ba (30 to 484 ppm), Sr (613 to 9106 ppm) and total rare earth element (TREE) concentrations (172 to 2892 ppm), which are consistent with geochemical signatures for mantle-derived carbonate melts. The combined δ18OV-SMOW (+10.7 to +19.0 ‰), δ13CV-PDB (−2.9 to +1.8 ‰) and δ11B (−13.9 to −2.9 ‰) data for a majority of the carbonate separates investigated here in contrast indicate that they are the result of open system behavior involving contamination by the country rock (marble), and/or sub-solidus, low temperature alteration. Based on the combined stable and radiogenic isotopic signatures for the least altered/contaminated samples, the carbonatite magma at Karaçayır most likely represents a low-degree partial melt of an isotopically heterogeneous (metasomatized) mantle source containing EM (enriched mantle)-like components and recycled crustal carbon; the latter finding is consistent with those recorded for young (<300 Ma old) carbonatites worldwide. A weighted mean 206Pb/238U age of 69.3 ± 1.7 Ma is obtained for apatite from the Karaçayır carbonatite, and indicates its emplacement within a post-collisional tectonic setting during the late Cretaceous.
AtıfScopus7WoS8OpenAlex7İncele - MakaleAçık Erişim2022Scopus SJRQ3Adsorptive removal of nickel ions from wastewater by synthesized a novel biocomposite material and process optimization by response surface methodology
Ince, Muharrem; Ince, Olcay Kaplan; Alp, Hevidar
In the present study, a fixed-bed column study was performed using a novel biocomposite mate-rial, Amanita vaginata immobilized on Amberlite XAD-4 resin, to find out the adsorption behavior of nickel (Ni2+) ions from industrial wastewater. The influence of some important operating conditions including pH (3–7), biocomposite material amount (150–250 mg (XAD-4:Amanita vaginata, 5:1)) influent flow rate (4–8 mL min–1) besides Ni2+ ions initial concentration (20–40 mg L–1) on the uptake of Ni2+ solution were also optimized using a synthetic water solution. A central composite design combined with response surface methodology was utilized to maximize Ni2+ ions removal using A. vaginata immobilized on Amberlite XAD-4 resin as a biocomposite material in a column biosorption process. A mathematical model was derived from the central composite design approach for predicting responses and analysis of variance. Also, for checking model adequacy a lack of fit test was carried out. It was determined that the checked and proposed quadratic model was derived from the experimental design data. The biocomposite material adsorption capacity was calculated as 6.28 mg g–1. A high coefficient of determination (R2 = 0.9887) was presented by analysis of variance. Results confirmed that the amount of adsorbed Ni2+ amount did not change with the increase of the flow rate ratio and dose when the initial concentration of Ni2+ ions increased. The maximum adsorp-tion capacity of biocomposite material was achieved at 6.9 pH, 150.1 mg of biocomposite material amount, 7.8 mL min–1 of solution flow rate, and 39.7 mg L–1 of Ni2+ ions initial concentration. Finally, the developed method was applied to industrial wastewater to determine Ni2+ ions concentrations.
AtıfScopus4WoS4OpenAlex5İncele - MakaleAçık Erişim2022Scopus SJRQ2Use of Differential Entropy for Automated Emotion Recognition in a Virtual Reality Environment with EEG Signals
Uyanık, Hakan; Ozcelik, Salih Taha A.; Duranay, Zeynep Bala; Sengur, Abdulkadir; Acharya, U. Rajendra
Emotion recognition is one of the most important issues in human–computer interaction (HCI), neuroscience, and psychology fields. It is generally accepted that emotion recognition with neural data such as electroencephalography (EEG) signals, functional magnetic resonance imaging (fMRI), and near-infrared spectroscopy (NIRS) is better than other emotion detection methods such as speech, mimics, body language, facial expressions, etc., in terms of reliability and accuracy. In particular, EEG signals are bioelectrical signals that are frequently used because of the many advantages they offer in the field of emotion recognition. This study proposes an improved approach for EEG-based emotion recognition on a publicly available newly published dataset, VREED. Differential entropy (DE) features were extracted from four wavebands (theta 4–8 Hz, alpha 8–13 Hz, beta 13–30 Hz, and gamma 30–49 Hz) to classify two emotional states (positive/negative). Five classifiers, namely Support Vector Machine (SVM), k-Nearest Neighbor (kNN), Naïve Bayesian (NB), Decision Tree (DT), and Logistic Regression (LR) were employed with DE features for the automated classification of two emotional states. In this work, we obtained the best average accuracy of 76.22% ± 2.06 with the SVM classifier in the classification of two states. Moreover, we observed from the results that the highest average accuracy score was produced with the gamma band, as previously reported in studies in EEG-based emotion recognition.
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