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Shiraz, Iran

Shiraz University , formerly known as Pahlavi University, is a public university located in Shiraz, Iran. It is one of the major universities of Iran. Shiraz University has always ranked as Top 5 among Iranian universities and is well respected in Iran.The University of Pennsylvania assisted the Iranian government in transforming Shiraz University into the only institution in the Middle East based on American-style higher education. The University of Pennsylvania thus became highly influential in shaping many of Pahlavi University's departments and institutions. Shiraz University has the second biggest campus in Iran. It was initially designed by American architect, Minoru Yamasaki, who is also famous for designing the World Trade Center.Shiraz University has pioneered the establishment of doctoral programs in Iran. Presently the university has over 20,000 students, with 200 Bachelor's degree programs , 300 Master's degree programs , one professional degree program , and 150 Ph.D. programs. Wikipedia.


Raoofat M.,Shiraz University
International Journal of Electrical Power and Energy Systems | Year: 2011

Reliability improvement and loss reduction are two important goals in optimal sizing and siting of distributed generations (DGs). Also, remote controllable switches can be utilized in distribution networks to increase the role of DGs in reliability improvement. Therefore, this paper presents a GA-based method to allocate simultaneously DGs and remote controllable switches in electric distribution networks. The goal of proposed approach is reliability improvement and energy loss reduction. The optimal sizes of distributed generators are also determined during the optimization procedure. A multilevel yearly load model is utilized to achieve the optimal solution. Numerical studies on a 33-bus distribution network show satisfactory results. © 2011 Elsevier Ltd. All rights reserved. Source


Mansoori E.G.,Shiraz University
IEEE Transactions on Fuzzy Systems | Year: 2011

Fuzzy clustering is superior to crisp clustering when the boundaries among the clusters are vague and ambiguous. However, the main limitation of both fuzzy and crisp clustering algorithms is their sensitivity to the number of potential clusters and/or their initial positions. Moreover, the comprehensibility of obtained clusters is not expertized, whereupon in data-mining applications, the discovered knowledge is not understandable for human users. To overcome these restrictions, a novel fuzzy rule-based clustering algorithm (FRBC) is proposed in this paper. Like fuzzy rule-based classifiers, the FRBC employs a supervised classification approach to do the unsupervised cluster analysis. It tries to automatically explore the potential clusters in the data patterns and identify them with some interpretable fuzzy rules. Simultaneous classification of data patterns with these fuzzy rules can reveal the actual boundaries of the clusters. To illustrate the capability of FRBC to explore the clusters in data, the experimental results on some benchmark datasets are obtained and compared with other fuzzy clustering algorithms. The clusters specified by fuzzy rules are human understandable with acceptable accuracy. © 2011 IEEE. Source


Ardakani A.G.,Shiraz University
Journal of the Optical Society of America B: Optical Physics | Year: 2014

In this paper, we propose a one-dimensional ternary photonic crystal based on magnetized plasma to obtain nonreciprocal propagation. By employing the transfer matrix method, the transmission spectra of the counterpropagating plane waves incident from air upon either end of the periodic structure are calculated. Our results reveal that there is a significant contrast between the transmittance of the waves propagated in opposite directions. This means that the structure shows nonreciprocal effects. It is shown that the bandwidth at which nonreciprocity is observed depends on the external magnetic field. The effects of the incident angle and the number of elementary cells on the nonreciprocal behaviors are studied. We demonstrate that nonreciprocity disappears in very small angles of incidence. The designed structure shows nonreciprocal response even in the case of a small number of layers. It is also demonstrated that nonreciprocal effects become stronger when increasing the plasma density and the wavelength of the incident wave. © 2014 Optical Society of America. Source


Saadat M.,Shiraz University
Cancer Epidemiology | Year: 2012

Aim: The paraoxonase 1 gene (PON1, MIN: 168820) is a member of the multifactorial antioxidant enzyme paraoxonase family (EC 3.1.1.2). Two common functional single-nucleotide polymorphisms L55M (dbSNP: rs854560) and Q192R (dbSNP: rs662) have been identified in the coding region of PON1. Several studies have investigated the associations between polymorphisms of PON1 and susceptibility to breast cancer, but have yielded apparently conflicting results. We therefore carried out a meta-analysis of published studies to clarify this inconsistency and to establish a comprehensive picture of the relationship between PON1 gene variants and breast cancer risk. Method: Overall six eligible studies were identified. Summary odds ratios (ORs) and 95% confidence intervals (CIs) were obtained using fixed and random-effect models. Results: In our meta-analysis, the presence of the R allele was associated with decreased risk of breast cancer (QR+RR compared to QQ genotype, summary OR=0.57, 95% CI: 0.49-0.67, P<0.001). Both heterozygosity (OR=1.32, 95% CI: 1.10-1.58, P=0.002) and homozygosity (OR=2.16, 95% CI: 1.75-2.68, P<0.001) for the 55M allele were associated with increased risk of breast cancer. Also there was a significant linear trend in risk associated with zero, one, and two 55M alleles (χ 2=54.2, P<0.001). Conclusion: The present study showed that PON1 M and Q alleles are associated with a higher risk of breast cancer. Individuals having MM and QQ genotypes have a lower level and lower detoxification activity of the PON1 enzyme, which may increase the vulnerability of the breast to genetic damage by reducing the ability to detoxify inflammatory oxidants, as well as dietary carcinogens. © 2011 Elsevier Ltd. Source


Hashemi M.,Shiraz University
Journal of High Energy Physics | Year: 2013

The single top production proceeds through different channels at LHC. The t-channel production which has a cross section at the level of one third of the t̄t, can be regarded as a source of light charged Higgs boson through top quark decay to charged Higgs. Due to the low jet multiplicity and characteristic kinematic features of this process, a signal selection can be designed to extract charged Higgs signal from the background processes. In this paper, taking MSSM as the theoretical framework, the light charged Higgs signal from single top events is analyzed. The charged Higgs is assumed to decay to τν and the hadronic decay of τ leptons is analyzed. Different charged Higgs mass hypotheses are analyzed and a scan over the parameter space (m H ±, tanβ) is performed. It is shown that this process has the potential to exclude large areas of parameter space, while with enough data, a 5σ discovery would also be possible. Finally 95% C.L. exclusion and 5σ contours are provided for different integrated luminosities of LHC. © 2013 SISSA, Trieste, Italy. Source

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