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 Erişim2020Scopus SJRQ3Analysis of the correlations between visual mathematics literacy perceptions, reasoning skills on geometric shapes and geometry performances of pre-service mathematics teachers
İlhan, Aziz; Aslaner, Recep
In the study, the correlations between visual mathematics literacy perceptions, reasoning skills on geometrical shapes and geometrical performances of pre-service mathematics teachers were investigated. The study participants included 384 pre-service mathematics teachers, who were attending education departments in two universities located in Eastern and Southeastern Anatolia regions in Turkey. In the study, due to time and workforce limitations, convenience sampling method was preferred, and relational screening model was adopted. The study data was collected with visual mathematics literacy perception scale, reasoning skills on geometric shapes and geometry performance tests developed by the authors. Analysis of the correlation between the variables demonstrated that there was a moderate correlation between visual mathematics literacy perception and both the reasoning skills on geometrical shapes and the geometry performance, and there was a high correlation between the reasoning skills on geometric shapes and geometry performance. Primary model path analysis demonstrated that visual mathematics literacy perception had a moderate effect on reasoning skills on geometrical shapes and geometry performance. It was also determined that reasoning skills on geometric shapes had a strong effect on geometry performance. The findings of the path analysis conducted on the sub-dimensions revealed that all sub-dimensions had a moderate positive effect on reasoning skills on geometric shapes. It was also found that visual mathematics literacy perception had a moderate positive effect on visual perception, geometry knowledge, spatial intelligence and concretization sub-dimensions and geometry performance.
AtıfScopus5OpenAlex9
İncele - MakaleAçık Erişim2020Normal complex contact metric manifolds admitting a semi symmetric metric connection
Vanli, Aysel Turgut; Ünal, Inan; Özdemir, Dilek
In this paper, we study on normal complex contact metric manifold admitting a semi symmetric metric connection. We obtain curvature properties of a normal complex contact metric manifold admitting a semi symmetric metric connection. We also prove that this type of manifold is not conformal flat, concircular flat, and conharmonic flat. Finally, we examine complex Heisenberg group with the semi symmetric metric connection.
AtıfScopus24WoS25OpenAlex26
İncele - MakaleAçık Erişim2020Scopus SJRQ2Bee glue (propolis) improves reproductive organs, sperm quality and histological changes and antioxidant parameters of testis tissues in rats exposed to excess copper
Seven, Ismail; Tatli Seven, Pinar; Gul Baykalir, Burcu; Parlak Ak, Tuba; Ozer Kaya, Seyma; Yaman, Mine
This study was designed to determine the effects of propolis on the sperm quality, antioxidant and histological parameters in the testicular tissues of male Sprague Dawley rats exposed to excessive copper (Cu). In this aim, 24 rats were randomly divided into four groups as follows: the control, Cu, Propolis and Cu+Propolis. When compared to control group, Cu administration significantly decreased sperm motility and concentration, increased total abnormal sperm rate. It caused a significant induction the malondialdehyde (MDA), and reduction the superoxide dismutase (SOD), catalase (CAT) and glutathione (GSH) in testicular tissues. Also, it caused loss, disorganisation and vacuolation of the germinal epithelium, oedema of the interstitial tissues, proliferation of the interstitial cells, spilled immature spermatogenic cells in the lumen of some seminiferous tubules. A large number of active caspase-3-positive stained apoptotic cells and a significant decrease in Johnsen's testicular score were determined. However, significant ameliorations were observed in all sperm characteristics, MDA, SOD, CAT, GSH, seminiferous tubules, number of apoptotic cells and Johnsen's testicular score in Cu+Propolis group. Our results showed that oral supplementation of propolis had curative effect on the sperm quality, antioxidant and histological parameters in the testicular tissues of male Sprague Dawley rats exposed to Cu.
AtıfScopus39OpenAlex39
İncele - MakaleAçık Erişim2020Scopus SJRQ2Statistical evaluation of the bioremediation performance of Ochrobactrum thiophenivorans and Sphingomonas melonis bacteria on Imidacloprid insecticide in artificial agricultural field
Onder Erguven, Gokhan; Demirci, Ulas
Background: Pesticides are applied directly on the soil or on the vegetation, and thus, they can reach the receiving environment easily. In this way, environmental damage that stems from pesticides also affects public health and the natural habitat. Pesticides are one of the most harmful pollutant groups in terms of human health, fauna and the environment. They penetrate the application field and the applicator right after the application and start to show adverse effects. Methods: The bioremediation of the Imidacloprid (C9H10ClN5O2) insecticide, which is used commonly in Mediterranean climate, was compared with some soil bacteria in artificially prepared fields. For this purpose, firstly, it was determined whether the soil samples taken from a field where cotton was cultivated in Adana in Turkey was suitable for bioremediation. Then, the bacteria were isolated from these soils with the 16sRNA method. The enhanced microbial consortia of these isolated bacteria were inoculated to the artificial fields, meanwhile, the recommended concentrations of Imidacloprid were added to these agricultural fields. Imidacloprid, Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD5) and Total Organic Carbon (TOC) measurements were performed every day for two weeks on the filtrate samples taken from the artificial fields. Results: As a result of the monitoring, it was determined that Ochrobactrum thiophenivorans (Ot) and Sphingomonas melonis (Sm) species and their mixtures could eliminate the Imidacloprid pesticide within two weeks’ time. The removal efficiencies were 100% for active ingredient for each bacterium and their mixtures while COD were 97% and 96% for Ot. and Sm., respectively. TOC and BOD5 removal rates were 97% for both types and their mixtures in one or two-week period. Mixture of Ot and Sm shows 98.5% for COD, BOD5 parameters and 97.5% for TOC parameter. Conclusions: The results that will be obtained will help in the rehabilitation of the receiving environments that are exposed to pesticides in our country and take precautions to avoid the accumulation of pesticides in the body of the humans who are at the top of the food chain.
AtıfScopus23İncele - MakaleAçık Erişim2020Scopus SJRQ1Automated detection of COVID-19 cases using deep neural networks with X-ray images
Ozturk, Tulin; Talo, Muhammed; Yildirim, Eylul Azra; Baloglu, Ulas Baran; Yildirim, Ozal; Rajendra Acharya, U.
The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic. It has caused a devastating effect on both daily lives, public health, and the global economy. It is critical to detect the positive cases as early as possible so as to prevent the further spread of this epidemic and to quickly treat affected patients. The need for auxiliary diagnostic tools has increased as there are no accurate automated toolkits available. Recent findings obtained using radiology imaging techniques suggest that such images contain salient information about the COVID-19 virus. Application of advanced artificial intelligence (AI) techniques coupled with radiological imaging can be helpful for the accurate detection of this disease, and can also be assistive to overcome the problem of a lack of specialized physicians in remote villages. In this study, a new model for automatic COVID-19 detection using raw chest X-ray images is presented. The proposed model is developed to provide accurate diagnostics for binary classification (COVID vs. No-Findings) and multi-class classification (COVID vs. No-Findings vs. Pneumonia). Our model produced a classification accuracy of 98.08% for binary classes and 87.02% for multi-class cases. The DarkNet model was used in our study as a classifier for the you only look once (YOLO) real time object detection system. We implemented 17 convolutional layers and introduced different filtering on each layer. Our model (available at (https://github.com/muhammedtalo/COVID-19)) can be employed to assist radiologists in validating their initial screening, and can also be employed via cloud to immediately screen patients.
AtıfScopus2286OpenAlex2595İncele - MakaleAçık Erişim2020Scopus SJRQ3Effects of technology usage on the addictive behaviors of secondary school students
Gürarslan Baş, Nazan; Karatay, Gülnaz
Purpose: This study aimed to evaluate the relationship between technology usage and technology addiction among secondary school students. Design and Methods: This descriptive research was conducted in April 2018 with 840 students in Eastern Turkey. Findings: The average Internet and digital-gaming addiction scores of the participating students were found to be significantly higher among those who used computers, smartphones, and tablets daily and for long periods of time. Implications for Practice: Using technological devices regularly and for long periods of time increases the level of Internet and digital-gaming addiction. Thus, it is important to increase students' awareness of the need to use technological devices appropriately.
AtıfScopus13WoS11OpenAlex19İncele - MakaleAçık Erişim2020Evaluation of the effect of COVID-19 on countries' sustainable development level: A comparative MCDM framework
Kaya, Sema Kayapinar
The extent of the outbreak of coronavirus disease (COVID-19) had a major impact on health, social life, economic and environmental activities in almost every country over the world. It has disrupted the sustainable development of countries and brought many uncertainties for their future capabilities. In this study, the effects of the COVID-19 on OECD countries' sustainable development were investigated, and the sustainable development performance of the countries was evaluated by the MultiAttributive Ideal-Real Comparative Analysis (MAIRCA) method. Data for the second quarter of 2020 and the same quarter of the previous year is considered. Then, the results obtained by the MAIRCA method were compared with two different multi-criteria decision-making (MCDM) methods called MABAC (Multi‐Attributive Border Approximation Area Comparison) and WASPAS (Weighted Aggregated Sum Product Assessment). The effectiveness and validity of the results obtained from these methods were tested with Spearman's correlation coefficient. Finally, to examine the effect of COVID-19 on the indicators of sustainable development, a non-parametric Wilcoxon signed-rank test was applied. As a result, it was concluded that COVID-19 negatively affected the sustainable development of countries. However, sustainable development performances of developed countries have been observed to be better than developing countries.
AtıfScopus49OpenAlex56İncele - MakaleAçık Erişim2020Scopus SJRQ2Performance of Cladophora fracta for Bioaccumulation of Critical Raw Materials from Mine Gallery Waters
Topal, Murat; Öbek, Erdal; Arslan Topal, E. Işıl
We investigated the accumulation of critical raw materials (CRMs) in macroalga (green alga Cladophora fracta) in mine gallery water with the aim of presentation of the possibility of using the algae as a bioaccumulator of CRMs. The CRMs investigated in the present study were lanthanum (La), vanadium (V), tungsten (W), scandium (Sc), bismuth (Bi), antimony (Sb), gallium (Ga) and cobalt (Co). The highest concentrations of La, V, W, Sc, Bi, Sb, Ga and Co were determined as 3.16 ± 0.15, 22 ± 1.0, 2.0 ± 0.1, 2.4 ± 0.12, 0.21 ± 0.01, 2.47 ± 0.13, 1.4 ± 0.07 and 7.28 ± 0.35 mg/kg, respectively. Bioconcentration factor values followed the order of La > V>W > Ga > Sb > Bi > Co > Sc. Also, metal pollution index (MPI) is used in order to identify the degree of pollution of C. fracta. The MPI values calculated were between 1.09 and 2.2. As a result, it was determined that C. fracta highly accumulated the CRMs from the mine gallery water and was a good bioaccumulator in remediation technology. In this way, it is possible to minimize or eliminate the environmental risks of the materials in the gallery waters.
AtıfScopus5WoS5OpenAlex6İncele - MakaleAçık Erişim2020Scopus SJRQ2A novel method for performance improvement of chaos-based substitution boxes
Artuğer, Firat; Özkaynak, Fatih
Symmetry plays an important role in nonlinear system theory. In particular, it offers several methods by which to understand and model the chaotic behavior of mathematical, physical and biological systems. This study examines chaotic behavior in the field of information security. A novel method is proposed to improve the performance of chaos-based substitution box structures. Substitution box structures have a special role in block cipher algorithms, since they are the only nonlinear components in substitution permutation network architectures. However, the substitution box structures used in modern block encryption algorithms contain various vulnerabilities to side-channel attacks. Recent studies have shown that chaos-based designs can offer a variety of opportunities to prevent side-channel attacks. However, the problem of chaos-based designs is that substitution box performance criteria are worse than designs based on mathematical transformation. In this study, a postprocessing algorithm is proposed to improve the performance of chaos-based designs. The analysis results show that the proposed method can improve the performance criteria. The importance of these results is that chaos-based designs may offer opportunities for other practical applications in addition to the prevention of side-channel attacks.
AtıfScopus55WoS44OpenAlex56İncele - MakaleAçık Erişim2020Scopus SJRQ3Genetic variation and molecular relationships taxa of conringia heist. EX FABR. (BRASSICACEAE) Based on rapd markers in Turkey
Sevgndgk, Emre; Paksoy, Mehmet Yavuz; Aydoğan, Melike; Topseçer, Feyzanur
In this study, genetic variation and phylogenetic analysis of 13 populations of 6 species belonging to Conringia genus spreading in Turkey were performed using RAPD markers. Genomic DNA isolation from the leaves of the Conringia plant samples was performed via using a commercial kit. Seven RAPD primers were used to identify the genetic diversity between the populations. Polymerase Chain Reaction (PCR) was performed using DNA samples and primers. PCR products were resolved using agarose gel electrophoresis and visualized under UV light. All gel images were analyzed, and the absence and presence of polymorphic bands were scored. The total of 34 DNA bands were detected by seven RAPD primers. PAUP 4.0b10 analysis program was used to calculate phylogenetic tree and genetic distances between the species. The phylogenetic tree was obtained using the UPGMA algorithm and it was composed of two clades. According to the PAUP analysis, the species having the closest distance between each other are C. planisiliqua (Ankara-AyaG) and C. planisiliqua (Ankara-Nallihan) with the value of 0.000 and those having the longest distance are C. grandiflora (Akseki Cukurkoy) and C. orientalis (Elazig-Baskil) with the value of 0.6000. The results suggest that the RAPD markers are useful tools to demonstrate the genetic relationships between populations of the Conringia species.
AtıfScopus6WoS3OpenAlex6İncele - MakaleAçık Erişim2020Scopus SJRQ2Seismic performance evaluation of regular and irregular composite moment resisting frames
Etli, Serkan; Güneyisi, Esra Mete
In this study, the seismic behavior of regular and irregular composite moment resisting frame (CMRF) buildings was investigated. To this aim, 5, 8, 10, 13 and 15-story CMRFs having concrete filled steel tube columns and composite beams were designed at high ductility level and their performances were evaluated comparatively. The case study CMRF structures were categorized into two groups as regular and irregular in elevation. Examined irregular structures have setbacks in different story levels. During the design and performance analysis, SeismoStruct software was employed. Nonlinear static pushover and incremental dynamic analyses were used in the seismic performance assessment. The uniform and triangular load distributions were considered in the pushover analysis while a total of 22 earthquake acceleration records were utilized in the dynamic analysis. The variation in the lateral response, global yielding value, interstory drift, behavior factor, inherent strength factor, overstrength factor, and ductility factor were examined for the regular and irregular CMRF structures. It was observed that the regular CMRFs were more consistent with the design assumptions as compared to the irregular ones. Moreover, the former exhibited more uniform non-elastic demands over the building height according to the results of the incremental dynamic analysis. Under the seismic scenario adopted, all the building types yielded higher values of the behavior factor complied with the limits available in the code.
AtıfScopus15WoS10OpenAlex32İncele - MakaleAçık Erişim2020Scopus SJRQ3Synthesis of comb-type block copolymers by grafting through method: electrical properties and determination of activation energy via conductivity
Pıhtılı, Guzin; Demirelli, Kadir
Poly[Ɛ-CL-b-(MMA-comb-EMA)]comb-type polymers were synthesized by ATRP and Ɛ-caprolactone macroinitiator and macromonomer. Methyl methacrylate macromonomer was synthesized from acylation reaction of methacryloyl chloride with PMMA ended 7-hydroxy coumarin. The macroinitiator was prepared from the reaction of chlorine acetyl chloride P(Ɛ-CL). The synthesized polymers were characterized by FT-IR, 1H-NMR and 13C-NMR techniques. The average molecular weight and molecular weight distribution of polymers were measured by GPC method. Thermal properties of samples were studied by DSC/TGA techniques. Dielectric and Ac conductivity measurements were performed. Dielectric constant (ɛˈ), dielectric loss factor (ɛˈˈ) and conductivity behaviors of comb-type polymer were measured at room temperature between the frequency of 100–2000 Hz and over the temperature range 303–413 K at 1 kHz reported as compared with each other. Besides, their effects on the electrical properties by doping with EuCl3 for some of the comb copolymers were and were investigated. The activation energy (Ea) was calculated from conductivity. We reported it was determined that the (ɛˈ) and (ɛˈˈ) values decreased with increasing frequency. There are also many application areas for comb polymers for example; nanotechnology, medicine. The aim of this study is to synthesize comb-type copolymers in different compositions and to investigate their electrical properties.
AtıfScopus4WoS4OpenAlex4İncele - MakaleAçık Erişim2020Scopus SJRQ2Sentiment classification within online social media using whale optimization algorithm and social impact theory based optimization
Akyol, Sinem; Alatas, Bilal
In recent years, social networks have become an important part of daily life and are becoming increasingly important. In this study, sentiment analysis or opinion mining, which is one of the most well-known social network analysis problems, is considered as an optimization problem for the first time. In the same way, for the first time, sentiment analysis is considered as a multi-objective problem. Whale Optimization Algorithm and Social Impact Theory based Optimization Algorithm, which are the current intelligent optimization algorithms, are adapted for the sentiment analysis problem. Furthermore, memory feature is integrated into Social Impact Theory based Optimization Algorithm in order to obtain effective results in this study. The obtained results from the proposed algorithms are also compared with thirty-three supervised learning algorithms within real IMDB, Polarity, and Amazon data sets. In order to evaluate the performance of the results; accuracy percentage, precision, recall, F-Measure, and MCC that are the five most commonly used measure in the literature are used. When the results are examined, it is observed that adapted metaheuristic optimization algorithms give more successful results in sentiment analysis problem.
AtıfScopus35WoS27OpenAlex43İncele - MakaleAçık Erişim2020Scopus SJRQ1Investigation of potential health risks in terms of arsenic in grapevine exposed to gallery waters of an abandoned mining area in Turkey
Topal, Murat; Arslan Topal, E. Işıl; Öbek, Erdal
In this study, potential health risks in terms of arsenic in grapevine exposed to gallery waters of an abandoned mining area in Turkey were investigated. The concentrations of arsenic were determined in roots, stems, and leaves. The translocation factors and bioconcentration factors were calculated. The highest arsenic concentration in the grapevine was determined as 539.4±27 mg/kg, for root. The arsenic concentrations in grapevine as follows: Root>Leaf>Stem. The estimated daily exposure followed an order for the male, female, and children: dermal<inhalation<ingestion<dietary. The non-carcinogenic and total hazard index values calculated for As were higher than 1. The risk of arsenic to be carcinogenic has been determined. The highest carcinogenic risk can be listed as dietary > ingestion > inhalation > dermal. In our study, calculated carcinogenic risk values in terms of dietary, inhalation, and ingestion are higher than 10−4-10−6. As a result, the highest cancer risk on human health was determined as a dietary intake of grapevine leaves according to the calculated carcinogenic risk values.
AtıfScopus20WoS19OpenAlex21İncele - MakaleAçık Erişim2020Scopus SJRQ1Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
Celik, Yusuf; Talo, Muhammed; Yildirim, Ozal; Karabatak, Murat; Acharya, U Rajendra
Advances in artificial intelligence technologies have made it possible to obtain more accurate and reliable results using digital images. Due to the advances in digital histopathological images obtained using whole slide image (WSI) scanners, automated analysis of digital images by computer support systems has become interesting. In particular, deep learning architectures, are one of the preferred approaches in the analysis of digital histopathology images. The deeper networks trained on large amounts of image data are adapted for different tasks using transfer learning technique. In this study, automated detection of invasive ductal carcinoma (IDC), which is the most common subtype of breast cancers, is proposed using deep transfer learning technique. We have used deep learning pre-trained models, ResNet-50 and DenseNet-161 for the IDC detection task. The public histopathology dataset containing 277,524 image patches were used in our experimental studies. As a result of training on the last layers of pre-trained deep networks, DenseNet-161 model has yielded F-sore of 92.38% and balanced accuracy value of 91.57%. Similarly, we have obtained F-score of 94.11% and balanced accuracy value of 90.96% using ResNet-50 architecture. In addition, our developed model is validated using the publicly available BreakHis breast cancer dataset and obtained promising results in classifying magnification independent histopathology images into benign and malignant classes. Our developed system obtained the highest classification performance as compared to the state-of-art techniques and is ready to be tested with more diverse huge databases.
AtıfScopus297OpenAlex318İncele - MakaleAçık Erişim2020Scopus SJRQ2Synthesis, and antimicrobial and anticancer activities of sodium acrylate copolymers
Torğut, Gülben; Pıhtılı, Güzin; Erecevit Sönmez, Pınar; Erden, Yavuz; Kırbağ, Sevda
This study was designed to synthesize poly(sodium acrylate-co-N-isopropylacrylamide) via aqueous free-radical polymerization using the 2,2′-azobisisobutyronitrile initiator system at 60°C. The structural characterization of the copolymer was determined by Fourier-transform infrared spectroscopy. The polymer was synthesized in two different ratios, namely, poly(NaAc-co-NIPA1:1) and poly(NaAc-co-NIPA2:1), to investigate whether it affects their antibacterial–antifungal activities and anti-tumour effects. When the antimicrobial activities of different proportions of the copolymer extracts prepared with pure water were examined using the agar disc diffusion sensitivity test (at 120 μL: 10.8 mg/µL), it was observed that they had effect at increasing rates against all the bacteria, yeasts and dermatophyte fungi such as Staphylococcus aureus COWAN 1, Staphylococcus cohnii ATCC 29974, Bacillus megaterium DSM 32, Bacillus subtilis ATCC 6633, Escherichia coli ATCC 25922, Klebsiella pneumoniae FMC 5, Pseudomonas aeruginosa DMS 50071 SCOTTA, Candida albicans FMC 17, Candida glabrata ATCC 66032, Trichophyton sp. and Epidermophyton sp. The results of this study revealed that the obtained copolymers have significant effects on the treatment of diseases. In addition, the anti-tumour activities of the poly(NaAc-co-NIPA1:1) copolymer on human breast (MCF-7) and ovarian cancer (A-2780) cell line were specified and it was determined that high doses of the copolymer showed anti-tumour effects on both types of cancer cell lines. Also, this article reviews its antimicrobial and anticancer activities that will be of help for future scientists.
AtıfScopus3WoS3OpenAlex6İncele - MakaleAçık Erişim2020Scopus SJRQ3Age and growth of the lessepsian migrant lagocephalus spadiceus (Actinopterygii: Tetraodontiformes: Tetraodontidae) from the gulf of iskenderun, north-eastern mediterranean, turkey
Başusta, Asiye; Başusta, Nuri; Ozcan, Ebru Ifakat; Girgin, Hülya
Background. The population of Lagocephalus spadiceus (Richardson, 1845), one of the Lessepsian species that migrated from the Red Sea to the Mediterranean Sea through the Suez Canal, has been growing rapidly in Turkey in recent years. This situation poses a serious danger to fisheries and human health. There is little information about the biology of this species. The presently reported study permits a greater understanding of the age and growth characteristics of the pufferfish L. spadiceus from the Gulf of Iskenderun, north-eastern Mediterranean. Materials and methods. Samples were captured by commercial bottom trawlers at depths of 24–50 m during 9 trawling operations conducted during the fishing seasons between 2012 and 2013 in the Gulf of Iskenderun, northeastern Mediterranean. Age determinations were carried out using vertebrae. Images of vertebrae suitable for age determination were obtained with a dissecting microscope. The index of the mean percentage error (IMPE) was calculated to assess the precision of the age determinations between two independent readers. Growth parameters for all individuals were then determined by fitting observed and length-at-age data using the von Bertalanffy growth equation. In addition, the condition factor (CF) was determined. Results. A total of 1116 specimens (529 females and 587 males) were sampled, ranging from 6.7 to 34.0 cm in total length and from 4.30 to 557.64 g in weight. The female-to-male ratio was 1:1.1. Age determination was conducted using vertebral band counts. The age of the examined specimens ranged from 0 to 10 years. One female individual was determined to be 17 years of age (45.6 cm and 1269.0 g). The von Bertalanffy growth equations were Lt = 47.21[1 – e–0.116(t+ 2.04)] and Wt = 1296.18 [1 – e–0.116(t+ 2.04)]2.846 for females, Lt = 46.36 [1 – e–0.133(t+ 1.76)] and Wt = 1381.86 [1 – e–0.133(t+ 1.76)]2.817 for males and Lt = 46.90 [1 – e–0.120(t+ 1.97)] and Wt = 1345.67 [1 – e–0.120(t+ 1.97)]2.831 for all individuals. The growth performance index (Ф´) value was calculated as 2.421 for all individuals. The condition factor ranged from 0.890 to 2.768 for females and from 0.899 to 2.767 for males. Conclusions. It is very important to investigate L. spadiceus, an invasive species, in order to prevent its harmful effects on fisheries and human health. As this study is the first study on the age and growth of L. spadiceus in the northeastern Mediterranean, it will significantly contribute to future ecosystem conservation and management strategies.
AtıfScopus6WoS5OpenAlex6İncele - MakaleAçık Erişim2020Scopus SJRQ3Removal of tetracycline antibiotic by Lemna gibba L. from aqueous solutions
Topal, Murat; Öbek, Erdal; Uslu Şenel, Gülşad; Arslan Topal, E. Işıl
In this study, the efficiency of Lemna gibba L. on tetracycline (TC) removal from the solutions prepared at various initial TC concentrations (50, 100 and 300 µg/L) was investigated. The study was conducted in the reactors planted with Lemna gibba L. plants. Lemna gibba L. plants in the reactors were harvested at various hydraulic retention times. Then, the concentrations of TC were determined by using LC/-MS-MS. The maximum removal efficiencies for the TC50, TC100 and TC300 in the planted reactors were 99.8 ± 4.1; 99.9 ± 4.9 and 99 ± 4.9%, respectively. The harvesting times for Lemna gibba L. at TC50, TC100 and TC300 concentrations were determined to be 12, 8 and 12 hours, respectively. First-, second- and pseudo-first-order kinetics are determined in the planted reactors (with Lemna gibba L.). According to the study results, second-order kinetics were obtained at TC50, TC100, TC300 concentrations. As a result, the Lemna gibba L. plant can be used as an alternative treatment method to other advanced treatment methods and it can be done with a cheap method by adapting to existing treatment plants. Lemna gibba L. plants can be used to remove pollutants by applying them to polluted lakes and water bodies.
AtıfScopus12OpenAlex11İncele - MakaleAçık Erişim2020Scopus SJRQ3Biosorptive removal of eriochrome black-T using agaricus campestris: Parameters optimization with response surface methodology
Alp, Hevidar; Ince, Muharrem; Ince, Olcay Kaplan; Onal, Ali
In this study, Eriochrome Black T (EBT) removal from aqueous media by Agaricus campestris (AC) which is an eco-friendly biosorbent was investigated using a central composite design (CCD) combined with response surface methodology. The CCD was chosen as the statistical prediction method to reduce the number of experiments which, in turn, will directly save time and chemicals. To opti-mize the process, various experimental independent variables such as the pH of the solution, contact time, adsorbent dosage and temperature were selected. The optimal experimental conditions were obtained as 6.5, 30°C, 20 min and 20 mg, for solution pH, temperature, contact time and adsorbent dosage, respectively. Under these optimized conditions, maximum EBT (100 mg L–1 initial concentra-tion) removal efficiency was calculated as 64.2 mg g–1. The independent variables and their interaction significance were checked using analysis of variance and it was found that the EBT biosorption on AC was highly significant (p < 0.001). The results were justified by the relatively high correlation coefficients (R2 = 0.9967) of the statistical prediction. The EBT biosorption was confirmed by fourier transform infrared spectroscopy (FTIR) analysis monitoring the functional groups during EBT biosorption on AC. This was the first report on the parameter optimization of EBT biosorp-tion using AC in an experimental design. The used biosorbent was characterized by FTIR, scanning electron microscope coupled with energy dispersive spectrometer and thermogravimetric analysis. The proposed biosorption process efficiently removed EBT, present in various aqueous mediums and can be used in industrial processes.
AtıfScopus17WoS12İncele - MakaleAçık Erişim2020Scopus SJRQ2An integrated approach of best-worst method (bwm) and triangular fuzzy sets for evaluating driver behavior factors related to road safety
Moslem, Sarbast; Gul, Muhammet; Farooq, Danish; Celik, Erkan; Ghorbanzadeh, Omid; Blaschke, Thomas
Driver behavior plays a major role in road safety because it is considered as a significant argument in traffic accident avoidance. Drivers mostly face various risky driving factors which lead to fatal accidents or serious injury. This study aims to evaluate and prioritize the significant driver behavior factors related to road safety. In this regard, we integrated a decision-making model of the Best-Worst Method (BWM) with the triangular fuzzy sets as a solution for optimizing our complex decision-making problem, which is associated with uncertainty and ambiguity. Driving characteristics are different in different driving situations which indicate the ambiguous and complex attitude of individuals, and decision-makers (DMs) need to improve the reliability of the decision. Since the crisp values of factors may be inadequate to model the real-world problem considering the vagueness and the ambiguity, and providing the pairwise comparisons with the requirement of less compared data, the BWM integrated with triangular fuzzy sets is used in the study to evaluate risky driver behavior factors for a designed three-level hierarchical structure. The model results provide the most significant driver behavior factors that influence road safety for each level based on evaluator responses on the Driver Behavior Questionnaire (DBQ). Moreover, the model generates a more consistent decision process by the new consistency ratio of F-BWM. An adaptable application process from the model is also generated for future attempts.
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