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Search Results: 1 - 10 of 764 matches for " Morteza Faghih Jouibari "
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Lumbar Vertebral Hemangioma With Extradural Extension, Causing Neurogenic Claudication: A Case Report
Morteza Faghih Jouibari,Alireza Khoshnevisan,Seyed Mohammad Ghodsi,Farideh Nejat
Acta Medica Iranica , 2011,
Abstract: The authors present a rare case of lumbar vertebral hemangioma extending to the epidural space with a bisected appearance and impinging on thecal sac. This 52-year-old lady presented with one year history of low back pain and bilateral leg radiation. Plain radiography showed vertical linear streaks at L2 vertebral body and axial computed tomography (CT) scan revealed small "polka dot" appearance within the vertebral body. Magnetic resonance imaging (MRI) showed low signal intensity on T1-weighted images in L2 vertebral body which was not characteristic for hemangioma. The patient underwent an L2 laminectomy, spinal canal decompression and posterior spinal instrumentation. This study indicates that lumbar vertebral hemangioma can extend to the epidural space and cause neurologic symptoms. Magnetic resonance imaging may not show diagnostic features, especially in active lesions and plain radiography and CT scan may be helpful.
COST-BENEFIT ANALYSIS OF MASS VACCINATION PROGRAMS EXEMPLIFIED BY MEASLES VACCINATION
MA. Faghih
Iranian Journal of Public Health , 1973,
Abstract: In planning any vaccination program, priority should be given to such programs within the country’s overall health plan. This judgment is made on the basis of indices on morbidity, mortality, vulnerability, feasibility and cost-benefit/effectiveness analyses. The application of mathematical / epidemiological models and the use of simulation and goal –seeking techniques and monograms are of great value and will provide information on health benefits which are either quantifiable or excessively difficult to quantify. To illustrate, two examples from Iran’s measles vaccination program are cited. In a five-year , country –wide program with 37% coverage and $3,828,136 cost ($1.09/unit), 214,733 cases were prevented and 37,274 lives were saved, resulting in $10,736,650 case-treatment, 1,708,878 life-years and 644,200 school-days saved . The estimated cost of one prevented case is $18.62. A four-year specific campaign covering 55% of the at-risk labor-insured population , costing $59,444 (0.85/unit) resulted in 1,728 cases prevented, 61 lives(2,867 years) and 5,214 school –days and $152.327 case-treatment saved. The cost of one prevented case is estimated at $34.20.
Evaluating Artificial Neural Network and its Optimization Using Genetic Algorithm in Estimation of Monthly Precipitation Data (Case Study: Kurdistan Region)
H Faghih
Journal of Science and Technology of Agriculture and Natural Resources , 2010,
Abstract: Estimating spatial distribution of precipitation is vital to execute water resources plans, drought, land-use plans; environment, watershed management, and agricultural master plans. High variation in amount of precipitation in various parts, lack of measurement stations, and the complexity of relationship between precipitation and parameters affecting it have doubled the importance of developing efficient methods in estimating spatial distribution of precipitation. Artificial neural network has been proved to be efficient as a new way for modeling and predicting the processes for which no solution and explicit relationship has been available in accurately identifying and describing them. The purpose of this study is to investigate the efficiency of artificial neural network in estimating spatial monthly precipitation. To achieve this objective, neural network with multilayer perceptorn topology was employed for preparing model for spatial monthly precipitation in five synoptic and rain-gauge stations located in Kurdistan province. In order to design the topology of the model in each station, as the adjustable parameters (including transfer function, learning rule, amount of momentum, number of hidden layers, number of neurons of the hidden layers, and the number of epochs) changed, different neural networks were made and carried out. In each case, the topology with the minimum amount of root mean square error (RMSE) was selected as the optimal model. Owing to the fact that the selection of each of the variable parameters of neural network necessitated recurring trails and errors, and consequently teaching a large number of networks with various topologies, genetic algorithm method was utilized for finding the optimization of these parameters; the efficiency of this method, too, was examined in terms of the optimization of neural network. The findings indicated that neural network enjoys a high degree of accuracy in modeling and estimating spatial distribution of monthly precipitation. In addition, combining it with genetic algorithm method was positively evaluated in optimizing the requirements for executing neural network. In most cases, mixed method proved its superiority over executing neural network without optimization. The most precise model in all of the stations under study was achieved by the use of transfer function, sigmoid, learning rule of Levenberg Marquardt; in the selected models, the determination coefficient (R2) observed between the model output amounts and the data observed in station were found to be 0.86; 0.89; 0.94; 0.77; and 0.9
Thermodynamic Analysis of ZnO Crystal Growth from the Melt  [PDF]
Morteza Asadian
Journal of Crystallization Process and Technology (JCPT) , 2013, DOI: 10.4236/jcpt.2013.33012
Abstract: Recently, the efforts in solid-state materials include developing technologies capable of producing ZnO wafers in large dimensions and good quality based device applications. High quality bulk crystals are obtained by growing from high purity the melt. However, the thermochemical properties of ZnO (high melting point and high vapor pressure) make the growth of single crystals difficult. The thermodynamic calculations show that ZnO crystals can be grown from the melt if a suitable dynamic atmosphere composition is used. The oxygen requirement with increasing the temperature can be fulfilled by adding the NO-NO2 gases into the CO2 atmosphere. At ZnO melting point, the oxygen partial pressure of gas mixtures containing CO2-NO-CO-NO2 at Pt = 5 atm reaches to PO2 = 0.29 atm. According to this new thermodynamic result, it would be expected that ZnO crystal could be grown from the melt at lower total pressure comparing to pure CO2.
Application of the Two Nonzero Component Lemma in Resource Allocation  [PDF]
Morteza Seddighin
Journal of Applied Mathematics and Physics (JAMP) , 2014, DOI: 10.4236/jamp.2014.27072
Abstract:

In this paper we will generalize the author's two nonzero component lemma to general self-reducing functions and utilize it to find closed from answers for some resource allocation problems.

Proving and Extending Greub-Reinboldt Inequality Using the Two Nonzero Component Lemma  [PDF]
Morteza Seddighin
Advances in Linear Algebra & Matrix Theory (ALAMT) , 2014, DOI: 10.4236/alamt.2014.42010
Abstract:
We will use the author’s Two Nonzero Component Lemma to give a new proof for the Greub-Reinboldt Inequality. This method has the advantage of showing exactly when the inequality becomes equality. It also provides information about vectors for which the inequality becomes equality. Furthermore, using the Two Nonzero Component Lemma, we will generalize Greub-Reinboldt Inequality to operators on infinite dimensional separable Hilbert spaces.
Investigating the Impact of Climate Changes on Qualitative and Quantitative Growth of Oak Trees (Case Study: Central Zagros)  [PDF]
Morteza Habibi
Open Journal of Ecology (OJE) , 2016, DOI: 10.4236/oje.2016.66034
Abstract: The present study is an attempt to investigate the impact of climate changes on quantitative and qualitative growth of oak trees in central Zagros region. After we selected the study region, 35 discs were taken from trees felled in each height class (e.g. 1400 - 1600, 1600 - 1800, 1800 - 2000 m above the sea level). We used climate index spi. For the data analysis, we employed SPSS software and inferential statistics tests of Kolmogroff Smirnov and the one-way ANOVA. During the recent 15 years, rainfall has shown a decreasing trend and amount of haze and frequency of occurring haze has been increased. The ANOVA results indicated that diameter growth of trees in three height classes revealed a significant difference. The average annual diameter growth in the first, second and third classes were 1.8 mm, 2.5 mm, and 2.2 mm, respectively. Additionally, the results indicated that hillsides and slope aspect has a statistically meaningful effect on the size of canopy area, basal area and number per hectare. Several different studies have reported that during the recent 15 years, qualitative and quantitative growth of central Zagros oak trees strongly correlate with climate parameters in the three habitats.
Analyzing Direct and Indirect Effects of Economic Sanctions on I. R. Iran Economic Growth: Focusing on the External Sector of the Economy  [PDF]
Morteza Ezzati
Open Journal of Marine Science (OJMS) , 2016, DOI: 10.4236/ojms.2016.64038
Abstract: In this paper, we analyze direct and indirect effects of economic sanctions on I. R. Iran’s economic growth from 1979 to 2012 focusing on the external sector of the economy. Our data for variables except for sanction are derived from 1966 to 2012 and a dummy variable is used for each sanction’s beginning years. The designed model is based on the endogenous growth models in which we analyze the effects by 2SLS econometric method. Our findings indicate that economic sanctions have not directly affected Iran’s economic growth so much. These effects have been indirect through restricting total imports, capital goods imports, imports of intermediate goods and primary products and also the export leading to decreased economic growth of the country.
Two Nonzero Component Lemma and Matrix Trigonometry  [PDF]
Morteza Seddighin
Advances in Linear Algebra & Matrix Theory (ALAMT) , 2017, DOI: 10.4236/alamt.2017.71001
Abstract: In this paper we show that the author’s Two Nonzero Lemma (TNCL) can be applied to present a simple proof for a very useful equality which was first proved by Karl Gustafson in 1968. Gustafson used Hilbert space methods, including convexity of the Hilbert space norm, to prove this identity which was the basis of his matrix trigonometry. By applying TNCL, we will reduce the problem to a simple problem of ordinary calculus.
Extending Kantorovich-Type Inequalities to Normal Operators  [PDF]
Morteza Seddighin
Advances in Linear Algebra & Matrix Theory (ALAMT) , 2018, DOI: 10.4236/alamt.2018.81005
Abstract: We will extend some of the Kantorovich-Type inequalities for positive finite dimensional matrices to infinite dimensional normal operators by applying The Two-Nonzero Component Lemma and converting them to an An-tieigenvalue-Type problem.
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