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Recent Submitted Publications

Article
Citation - WoS: 101
Citation - Scopus: 87
Search for Dark Matter Produced With an Energetic Jet or a Hadronically Decaying W or Z Boson at ?s=13 Tev
(Springer Verlag, 2017) Karapınar, Güler
A search for dark matter particles is performed using events with large missing transverse momentum, at least one energetic jet, and no leptons, in proton-proton collisions at s=13 TeV collected with the CMS detector at the LHC. The data sample corresponds to an integrated luminosity of 12.9 fb−1. The search includes events with jets from the hadronic decays of a W or Z boson. The data are found to be in agreement with the predicted background contributions from standard model processes. The results are presented in terms of simplified models in which dark matter particles are produced through interactions involving a vector, axial-vector, scalar, or pseudoscalar mediator. Vector and axial-vector mediator particles with masses up to 1.95 TeV, and scalar and pseudoscalar mediator particles with masses up to 100 and 430 GeV respectively, are excluded at 95% confidence level. The results are also interpreted in terms of the invisible decays of the Higgs boson, yielding an observed (expected) 95% confidence level upper limit of 0.44 (0.56) on the corresponding branching fraction. The results of this search provide the strongest constraints on the dark matter pair production cross section through vector and axial-vector mediators at a particle collider. When compared to the direct detection experiments, the limits obtained from this search provide stronger constraints for dark matter masses less than 5, 9, and 550 GeV, assuming vector, scalar, and axial-vector mediators, respectively. The search yields stronger constraints for dark matter masses less than 200 GeV, assuming a pseudoscalar mediator, when compared to the indirect detection results from Fermi-LAT.
Article
Citation - WoS: 7
Citation - Scopus: 6
Development of a Nano-Modified Glassy Carbon Electrode for the Determination of 2,6-Diaminotoluene (tda)
(Elsevier, 2021) Büyüktaş, Duygu; Ghaani, Masoud; Rovera, Cesare; Olsson, Richard T.; Korel, Figen; Farris, Stefano
The objective of this study was to improve the overall performance of a glassy carbon electrode (GCE) for the detection of 2,6-diaminotoluene (TDA), a possibly carcinogenic primary aromatic amines (PAAs) that poses a serious risk for the consumer' health because they can transfer from multilayer food packages including adhesives based on aromatic polyurethane (PU) systems, to the food. The modification of the electrode surface was made by means of multi-walled carbon nanotubes (MWCNTs) and mesopomus carbon nanoparticles (MCNs). The MWCNTs-MCNs/GCE allowed achieving the best performance in terms of sensitivity, as revealed by cyclic voltammetry - CV, with an oxidation peak of 20.95 mu A over 0.079 mu A of the bare GCE. The pH of the medium influenced the oxidation of 2,6-TDA, with highest sensitivity at pH similar to 7. Amperometry experiments led to an estimated detection limit of 0.129 mu M, and three linear ranges were obtained for 2,6-TDA: 0.53-11.37 mu M, 11.37-229.36 mu M, and 229.36-2326.60 mu M. Chronoamperometry experiments combined with Cottrell's theory allowed estimating a diffusion coefficient of 2,6-TDA of 1.34 x 10(-4) cm(2) s(-1). The number of electrons (n similar to 1) involved in the catalytic oxidation of 2,6-TDA was determined according to the Lavimn's theory. Real sample tests demonstrated that the modification of the sensor using nanoparticls allowed to obtain a highly sensitive and selective sensor, which can possibly used as an alternative analytical device for the rapid, easy, and reliable determination of 2,6-TDA.
Article
Citation - WoS: 21
Citation - Scopus: 23
Determination of Octane Number of Gasoline Using Near Infrared Spectroscopy and Genetic Multivariate Calibration Methods
(Taylor and Francis Ltd., 2005) Özdemir, Durmuş
The feasibility of rating the octane number of gasoline using near infrared (NIR) spectroscopy and three different genetic algorithm-based multivariate calibration methods was demonstrated. The three genetic multivariate calibration methods are genetic regression (GR), genetic classical least squares (GCLS), and genetic inverse least squares (GILS). The sample data set was obtained from the ftp address (ftp://ftp.clarkson.edu/pub/hopkepk/Chemdata/) with the permission of Professor. J. H. Kalivas. This data set contains the NIR spectra of 60 gasoline samples collected using diffuse reflectance as log (I / R) with known octane numbers and covers the range from 900 to 1700 nm in 2 nm intervals. Of these 60 spectra, 20 were used as the calibration set, 20 were used as the prediction set, and 20 were reserved for the validation purposes. Several calibration models were built with the three genetic algorithm-based methods, and the results were compared with the partial least squares (PLS) prediction errors reported in the literature. Overall, the standard error of calibration (SEC), standard error of prediction (SEP), and standard error of validation (SEV) values were in the range of 0.15-0.32 (in the units of motor octane number) for the GR and GILS, which are comparable with the literature. However, GCLS produced relatively large results (0.36 for SEC, 0.39 for SEP and 0.52 for SEV) when compared with the other two methods.
Article
Citation - WoS: 19
Citation - Scopus: 27
Reactive Power Capability Model of Wind Power Plant Using Aggregated Wind Power Collection System
(MDPI Multidisciplinary Digital Publishing Institute, 2019) Sarkar, Moumita; Altın, Müfit; Sorensen, Poul E.; Hansen, Anca D.
This article presents the development of a reactive power capability model for a wind power plant (WPP) based on an aggregated wind power collection system. The voltage and active power dependent reactive power capability are thus calculated by using aggregated WPP collection system parameters and considering losses in the WPP collection system. The strength of this proposed reactive power capability model is that it not only requires less parameters and substantially less computational time compared to typical detailed models of WPPs, but it also provides an accurate estimation of the available reactive power. The proposed model is based on a set of analytical equations which represent converter voltage and current limitations. Aggregated impedance and susceptance of the WPP collection system are also included in the analytical equations, thereby incorporating losses in the collection system in the WPP reactive power capability calculation. The proposed WPP reactive power capability model is compared to available methodologies from literature and for different WPP topologies, namely, Horns Rev 2 WPP and Burbo Bank WPP. Performance of the proposed model is assessed and discussed by means of simulations of various case studies demonstrating that the error between the calculated reactive power using the proposed model and the detailed model is below 4% as compared to an 11% error in the available method from literature. The efficacy of the proposed method is further exemplified through an application of the proposed method in power system integration studies. The article provides new insights and better understanding of the WPPs' limits to deliver reactive power support that can be used for power system stability assessment, particularly long-term voltage stability.
Master Thesis
Chemical Characterization of Caldanaerobacter Subterraneus Subsp. Tengcongensis Heme-Nitric Oxide/Oxygen Binding Protein
(01. Izmir Institute of Technology, 2020) Erdal, Merve; Sürmeli, Nur Başak; Sürmeli, Nur Başak
Hemoproteins, which contain the heme prosthetic group , take part in different biological processes in many stages of life. Their ability to catalyze important biosynthesis reactions makes them good candidates for understanding and elucidating complex mechanisms for biocatalysis. In this study, the catalytic properties of thermophilic Thermoanaerobacter tencogensis nitric oxide/oxygen binding protein, a heme protein reshaped by rational design, were investigated and chemical characterization was carried out. The peroxidase activity of the enzyme was investigated by the oxidation reactions of guaiacol, amplex red and 2,2'-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid (ABTS). Kinetic parameters of the reactions were determined. These obtained results demonstrated that, in the presence of H2O2, wild type and Y140H TtH-NOX proteins are able to catalyze oxidation reactions of guaiacol, Amplex red and ABTS. Comparison of the kinetic parameters showed that Y140H mutant catalyzed the guaiacol and ABTS oxidation 3-fold and 15 -fold faster than wild type enzyme, respectively. The stability of TtH-NOX proteins were investigated in the presence of organic solvents. Results were demonstrated that WT TtH-NOX was more stable than Y140H mutant in the presence of organic solvents In addition to these, for the first time, thermophilic TtH-NOX proteins were immobilized with a novel enzyme immobilization method and organic-inorganic hybrid nanostrucrures were obtained. Copper ion incorporated TtH-NOX-based hybrid nanoflowers were synthesized at different pH values. SEM and EDX analysis of TtH-NOX-based hybrid nanoflowers proved that free TtH-NOXs were immobilized successfully.