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Gogoladze I.,University of Delaware | Shafi Q.,University of Delaware | Un C.S.,Uluda University
Physical Review D - Particles, Fields, Gravitation and Cosmology | Year: 2015

We present a class of models in the framework of gauge mediation supersymmetry breaking where the standard model is supplemented by additional U(1) symmetry which acts only on the third generation fermions. The messenger fields carry a nontrivial U(1) charge and are vectorlike particles under this symmetry. This leads to additional contributions to the soft supersymmetry breaking mass terms for the third-generation squarks and sleptons. In this framework we show that the muon g-2 anomaly, the observed 125 GeV Higgs boson mass and the detected relic dark matter abundance (gravitino in our case) can be simultaneously accommodated. The resolution of the muon g-2 anomaly, in particular, yields the result that masses of squarks in the first two families, as well the gluino mass, should be <2.5 TeV, which will be tested at LHC14. © 2015 American Physical Society.

Raza S.,CAS Institute of Theoretical Physics | Raza S.,University of Delaware | Shafi Q.,University of Delaware | Un C.S.,University of Delaware | Un C.S.,Uluda University
Physical Review D - Particles, Fields, Gravitation and Cosmology | Year: 2015

We present a study of the b-τ Yukawa unified supersymmetric SU(4)c×SU(2)L×SU(2)R model (with μ>0), which predicts the existence of gluino - neutralino and stop - neutralino coannihilation scenarios compatible with the desired relic lightest supersymmetric particle neutralino dark matter abundance and other collider constraints. The next to lightest supersymmetric particle (NLSP) gluino or NLSP stop masses vary between 400 GeV and ∼1TeV. The NLSP gluinos will be accessible at the 14 TeV LHC, while we hope that the NSLP stop solutions will be probed in future LHC searches. We also identify regions of the parameter space in which the gluino and the lighter stop are closely degenerate in mass, interchangeably playing the role of NLSP and next to next to lightest supersymmetric particle (NNLSP). We also update a previous study of t-b-τ Yukawa unification and show that NLSP gluino of mass ∼1TeV, with a mass difference between the gluino and neutralino of less than 80 GeV, can be realized, consistent with the current collider and astrophysical constraints. We present benchmark points for b-τ and t-b-τ Yukawa unification that can be accessible at the LHC. © 2015 American Physical Society. © 2015 American Physical Society.

Demir D.A.,Izmir Institute of Technology | Un C.S.,Uluda University
Physical Review D - Particles, Fields, Gravitation and Cosmology | Year: 2014

We analyze minimal supersymmetric models in order to determine in what parameter regions with what amount of fine-tuning they are capable of accommodating the LHC-allowed top-stop degeneracy window. The stops must be light enough to enable Higgs naturalness yet heavy enough to induce a 125 GeV Higgs boson mass. These two constraints imply a large mass splitting. By an elaborate scan of the parameter space, we show that the stop-on-top scenario requires at least ΔCMSSM≃O(104) fine-tuning in the constrained minimal supersymmetric Standard Model (CMSSM). By relaxing the CMSSM parameter space with nonuniversal Higgs masses, we find that ΔNUHM1≃O(104). The CMSSM with a gravitino lightest supersymmetric particle works slightly better than the nonuniversal Higgs mass model. Compared to all these, the CMSSM with μ<0 and nonuniversal gauginos yields a much smaller fine-tuning Δμ,g≃O(100). Our results show that the gaugino sector can pave the road toward a more natural stop-on-top scenario. © 2014 American Physical Society.

Inkaya T.,Uluda University
Expert Systems with Applications | Year: 2014

In this paper we propose a novel neighborhood classifier, Surrounding Influence Region (SIR) decision rule. Traditional Nearest Neighbor (NN) classifier is a distance-based method, and it classifies a sample using a predefined number of neighbors. In this study neighbors of a sample are determined using not only the distance, but also the connectivity and density information. One of the well-known proximity graphs, Gabriel Graph, is used for this purpose. The neighborhood is unique for each sample. SIR decision rule is a parameter-free approach. Our experiments with artificial and real data sets show that the performance of the SIR decision rule is superior to the k-NN and Gabriel Graph neighbor (GGN) classifiers in most of the data sets. © 2014 Elsevier Ltd. All rights reserved.

Abstract An efficient and inexpensive procedure for direct conversion of aliphatic carboxylic acids into amides has been developed using anilines or aliphatic amines and Mg(0) as catalyst in toluene. The amides were obtained by single crystallization in moderate to excellent yields with high purity. Graphical Abstract: [Figure not available: see fulltext.] © 2014 Springer-Verlag Wien.

A series of novel cationic surfactants bearing 1,3,4-oxadiazole and tetraazatricyclic ring structures were synthesized by alkyl chain elongation of 5-{10-[4-(hydroxymethyl)phenoxy]decyl}-2,3-dihydro-1,3,4-oxadiazole-2-thione with homologous series of alkyl bromides, followed by chlorination of the corresponding benzyl alcohols with thionyl chloride and quaternization of the obtained intermediates with hexamethylenetetramine. © 2014 HeteroCorporation.

Convenient procedure for in situ cyclization of hydrazinecarbodithioate potassium salts to 1,3,4-oxadiazole-2(3H)-thiones under normal phase micellar media catalysis promoted by sodium dodecyl sulfate (SDS) as an anionic surfactant is reported. The main advantage of this procedure is to provide shorter reaction time for the completion of cyclization; scale-up synthesis is possible and the oxadiazoles were obtained in high to excellent yields (87-100%), making the protocol an attractive alternative to the available methods.

Vascular endothelial growth factor (VEGF) regulates endothelial cell proliferation, migration and differentiation. VEGF plays a critical role in angiogenesis during placenta formation. We investigated whether VEGF gene polymorphisms are associated with recurrent pregnancy loss. Thirty-eight women with recurrent pregnancy loss and 30 control women with live-born children were recruited from 2010 to 2011 in the region of Bursa, Turkey. VEGF gene polymorphisms were assessed with PCR-RFLP analysis of DNA samples obtained from leukocytes. DNA fragments were investigated by using appropriate primers. SNP scanning was performed using MnII, BgIII, BshI2361, Hsp92II restriction enzymes for 1154 G/A, 2578 C/A, 460 C/T, and 936 C/T polymorphisms, respectively. The frequencies of 2578 C/A, 460 C/T, 936 C/T polymorphisms were not significantly different between the controls and women with recurrent pregnancy loss. However, the prevalence of the 1154 G/A polymorphism A/A genotype was significantly higher in the recurrent pregnancy loss group (23.7 vs 3.4%). One of the four common polymorphisms of the VEGF gene was found to be more frequent in women with recurrent pregnancy loss. It is possible that disruption of VEGF function and placental angiogenesis can contribute to pregnancy loss in women with recurrent pregnancy loss.

Kocamaz U.E.,Uluda University | Kizmaz H.,Sakarya University
International Journal of Adaptive Control and Signal Processing | Year: 2014

This paper investigates the control of the continuous time Rabinovich chaotic system with the sliding mode control method. Based on the properties of the sliding mode theory, the controllers are designed and added to the nonlinear Rabinovich system. Numerical simulations show that the Rabinovich chaotic system can be regulated to its equilibrium points in the state space by using the sliding mode controllers, which verifies all the theoretical analyses. Simulation results of the proposed sliding mode control strategy have been also compared with the passive control method, and their performances are discussed. Copyright © 2013 John Wiley & Sons, Ltd.

Inkaya T.,Uluda University
Expert Systems with Applications | Year: 2015

Spectral clustering is a popular clustering method due to its simplicity and superior performance in the data sets with non-convex clusters. The method is based on the spectral analysis of a similarity graph. Previous studies show that clustering results are sensitive to the selection of the similarity graph and its parameter(s). In particular, when there are data sets with arbitrary shaped clusters and varying density, it is difficult to determine the proper similarity graph and its parameters without a priori information. To address this issue, we propose a parameter-free similarity graph, namely Density Adaptive Neighborhood (DAN). DAN combines distance, density and connectivity information, and it reflects the local characteristics. We test the performance of DAN with a comprehensive experimental study. We compare k-nearest neighbor (KNN), mutual KNN, ε-neighborhood, fully connected graph, minimum spanning tree, Gabriel graph, and DAN in terms of clustering accuracy. We also examine the robustness of DAN to the number of attributes and the transformations such as decimation and distortion. Our experimental study with various artificial and real data sets shows that DAN improves the spectral clustering results, and it is superior to the competing approaches. Moreover, it facilitates the application of spectral clustering to various domains without a priori information. © 2015 Elsevier Ltd. All rights reserved.

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