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Search Results: 1 - 10 of 4331 matches for " Amir Sadeghi "
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A New Approximation to the Linear Matrix Equation AX = B by Modification of He’s Homotopy Perturbation Method  [PDF]
Amir Sadeghi
Advances in Linear Algebra & Matrix Theory (ALAMT) , 2016, DOI: 10.4236/alamt.2016.62004
Abstract: It is well known that the matrix equations play a significant role in engineering and applicable sciences. In this research article, a new modification of the homotopy perturbation method (HPM) will be proposed to obtain the approximated solution of the matrix equation in the form AX = B. Moreover, the conditions are deduced to check the convergence of the homotopy series. Numerical implementations are adapted to illustrate the properties of the modified method.
Depression among Resident Doctors in Tehran, Iran
Majid Sadeghi,Mohammad Navidi,Amir Ebrahim Sadeghi
Iranian Journal of Psychiatry , 2007,
Abstract: : "nIn developing countries, little evidence is available on the mental health status of health care providers, especially doctors. Therefore, the aim of this study is to obtain an estimation on the prevalence of depression amongresident doctors of medical universities in Tehran, Iran. "n "n "nMethod: "nThe study population consisted of 2251 resident doctors who worked in the hospitals of 3 medical universities located in Tehran.Beck Depression Inventory (BDI) was used as the main instrument of thisresearch "n "n "nResults: "nThe response rate was 68.28%.31.2% of the total study population had symptoms of depression (26% of the males and 39% of the females).Symptoms of depression were 2.3 times more frequent in females. Mostdepressed physicians did not have a history of psychiatric visit or treatment.Conclusion: "n "nThis study demonstrates that depression is common among Iranian residents(particularly in females); however, most of them do not seek any treatment. This may lead to serious impacts on health behavior of the community in general.Moreover, depression may seriously affect physicians' professional function.
Recommender Systems Based on Evolutionary Computing: A Survey  [PDF]
Maryam Sadeghi, Seyyed Amir Asghari
Journal of Software Engineering and Applications (JSEA) , 2017, DOI: 10.4236/jsea.2017.105023
Abstract: Data mining techniques and information personalization have made significant growth in the past decade. Enormous volume of data is generated every day. Recommender systems can help users to find their specific information in the extensive volume of information. Several techniques have been presented for development of Recommender System (RS). One of these techniques is the Evolutionary Computing (EC), which can optimize and improve RS in the various applications. This study investigates the number of publications, focusing on some aspects such as the recommendation techniques, the evaluation methods and the datasets which are used.
Approximation of the pth Roots of a Matrix by Using Trapezoid Rule
Amir Sadeghi,Ahmad Izani Md. Ismail
International Journal of Mathematics and Mathematical Sciences , 2012, DOI: 10.1155/2012/634698
Abstract: The computation of the roots of positive definite matrices arises in nuclear magnetic resonance, control theory, lattice quantum chromo-dynamics (QCD), and several other areas of applications. The Cauchy integral theorem which arises in complex analysis can be used for computing f(A), in particular the roots of A, where A is a square matrix. The Cauchy integral can be approximated by using the trapezoid rule. In this paper, we aim to give a brief overview of the computation of roots of positive definite matrices by employing integral representation. Some numerical experiments are given to illustrate the theoretical results.
An improved symmetric SOR iterative method for augmented systems
Davod Khojasteh Salkuyeh,Somayyeh Shamsi,Amir Sadeghi
Tamkang Journal of Mathematics , 2012, DOI: 10.5556/j.tkjm.43.2012.479-490
Abstract: In this paper, the improved symmetric SOR (ISSOR) iterative method is introduced to solve augmented systems. Convergence properties of the proposed method are studied. Some numerical experiments of the ISSOR method are given to compare with that of the well-known SOR-like and MSSOR methods.
Association between Nonalcoholic Fatty Liver Disease (NAFLD) and Coronary Artery Disease (CAD) in Patients with Angina Pectoris  [PDF]
Atoosa Adibi, Majid Jaberzadeh-Ansari, Amir-Reza Dalili, Navid Omidifar, Masoumeh Sadeghi
Open Journal of Medical Imaging (OJMI) , 2013, DOI: 10.4236/ojmi.2013.33015
Abstract:

Background: Prevalence of nonalcoholic fatty liver disease (NAFLD) is increasing in Iranian population. The aim of this study was the investigation of association between nonalcoholic fatty liver disease (NAFLD) and coronary artery disease (CAD) in patients with angina pectoris. Methods: 82 patients with confirmed CAD by coronary angiography and 82 individuals with normal coronary angiography, as the control group, were selected. Hepatic ultrasound scanning was performed in all the subjects to determinate the NAFLD. Data were analyzed by SPSS software and independent T-test and Chi-square tests. Results: Findings gathered from the patients with angina pectoris showed that the prevalence of NAFLD in CAD patients was higher than the control group. Grade of fatty liver and the portal vein size in CAD patients were significantly more than the control group. Conclusion: NAFLD is a risk factor of CAD in the angina pectoris patients. Increase in the prevalence of NAFLD can lead to the increase in cardiovascular diseases.

Interaction of quantum dot molecules with multi-mode radiation fields
Amir Hossein Sadeghi,Ali Naqavi,Sina Khorasani
Physics , 2009,
Abstract: In this article, the interaction of an arbitrary number of quantum dots, behaving as artificial molecules, with different energy levels and multi-mode electromagnetic field is studied. We make the assumption that each quantum dot can be represented as an atom with zero kinetic energy, and that all excitonic effects except dipole-dipole interactions may be disregarded. We use Jaynes-Cummings-Paul model with applications to quantum systems based on a time-dependent Hamiltonian and entangled states. We obtain a system of equations describing the interaction and present a method to solve the equations analytically for a single mode field within the Rotating-Wave Approximation. As an example of the applicability of this approach, we solve the system of two two-level quantum dots in a lossless cavity with two modes of electromagnetic field. We furthermore study the evolution of entanglement by defining and computing the concurrency.
Tsallis Entropy, Escort Probability and the Incomplete Information Theory
Amir Hossein Darooneh,Ghassem Naeimi,Ali Mehri,Parvin Sadeghi
Entropy , 2010, DOI: 10.3390/e12122497
Abstract: Non-extensive statistical mechanics appears as a powerful way to describe complex systems. Tsallis entropy, the main core of this theory has been remained as an unproven assumption. Many people have tried to derive the Tsallis entropy axiomatically. Here we follow the work of Wang (EPJB, 2002) and use the incomplete information theory to retrieve the Tsallis entropy. We change the incomplete information axioms to consider the escort probability and obtain a correct form of Tsallis entropy in comparison with Wang’s work.
Impact of RNA structure on the prediction of donor and acceptor splice sites
Sayed-Amir Marashi, Changiz Eslahchi, Hamid Pezeshk, Mehdi Sadeghi
BMC Bioinformatics , 2006, DOI: 10.1186/1471-2105-7-297
Abstract: we sought the role of mRNA secondary structures and their information contents for five vertebrate and plant splice site datasets. We selected 900-nucleotide sequences centered at each (real or decoy) donor and acceptor sites, and predicted their corresponding RNA structures by Vienna software. Then, based on whether the nucleotide is in a stem or not, the conventional four-letter nucleotide alphabet was translated into an eight-letter alphabet. Zero-, first- and second-order Markov models were selected as the signal detection methods. It is shown that applying the eight-letter alphabet compared to the four-letter alphabet considerably increases the accuracy of both donor and acceptor site predictions in case of higher order Markov models.Our results imply that RNA structure contains important data and future gene prediction programs can take advantage of such information.In recent years, complete genomic sequences of many eukaryotic organisms are available and identifying genes in genomic DNA sequences by computational methods has become an important task in bioinformatics. Computational gene prediction tools are now essential components of every genome sequencing project. These programs generally identify potential coding regions by homology searches against databases or by identification of gene structural elements (e.g. start and stop positions and donor and acceptor splice sites) in an unknown DNA sequence. The latter task is routinely done using algorithms trained by observed signals in sequences of known structure.Ab initio gene prediction methods are based on searching for splice site signals in genomic sequences. The 5' boundary or donor sites of introns in eukaryotes almost always contain the dinucleotide GU, while the 3' boundary or acceptor sites contain the dinucleotide AG. However, because of the common occurrences of these conserved dinucleotides, correct detection of splice sites is not possible if the gene finding algorithm is merely based on the GU
Co Channel Interference Cancellation by the Use of Iterative Digital Beam Forming Method
Mohammad Emadi;K. H. Sadeghi;Amir Jafargholi;F. Marvasti
PIER , 2008, DOI: 10.2528/PIER08100403
Abstract: This paper deals with the possibilities of cancellation of unwanted signals by steering nulls of the pattern in the direction of arrival of signal while keeping the main beam to the desired direction. New iterative adaptive digital beam forming technique is presented here to enhance the conventional effectiveness of beam forming in common commercial application. Simulation and measurement results confirm that this algorithm can achieve effective Co-Channel Interference (CCI) suppression, while increasing the strength of the desired signal.
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