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Search Results: 1 - 10 of 372 matches for " Zohreh Teimouri "
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A Comparison between Dietary Habits for Pregnant Women with Preterm and Term Delivery in Khorasan, Iran  [PDF]
Zohreh Teimouri, Mahrokh Dolatian, Sara Shishehgar, Marjan Ajami, Hamid Alavi Majd
Open Journal of Nursing (OJN) , 2015, DOI: 10.4236/ojn.2015.59083
Abstract: Background: Despite the advances in prenatal care and improving health indicators, preterm delivery and resultant infant mortality rate are still considerable. Emerged financial, social, mental and emotional damages could result in mental and behavioral disabilities for mothers as well as children. Although spontaneous preterm labor is well known as a multifactorial issue, yet poor nutrition is assumed as a strong related factor. Objective: To identify the role of dietary habits on preterm delivery prevalence in Iran, this study was conducted on pregnant women with preterm and term delivery. Methods: In this retrospective case-control study, 70 women with preterm labor and 70 women with term labor were compared in terms of their dietary habits. Women who met the inclusion criteria and referred to two hospitals in North-East of Iran were selected using purposive convenience sampling method and completed 163-item food frequency and dietary habits questionnaire. Results: This study showed that dietary habits of women with preterm labor are more unfavorable compared to women with term labor (P = 0.023). Generally, dietary habit of more than half of the women with preterm labor, in this study, was assessed unfavorable. In terms of different food groups, daily intake of vegetables was significantly lower in women with preterm labor (P = 0.02). Consumption of dairy products was also lower in women with preterm labor than women with term labor which was significant (P = 0.05). Conclusion: To prevent adverse outcomes of preterm delivery more attention regarding nutritional planning for pregnant women seems to be essential.
Evidence-Based Management: An Overview  [PDF]
Zohreh Sohrabi, Nazila Zarghi
Creative Education (CE) , 2015, DOI: 10.4236/ce.2015.616180
Abstract: Evidence-based management is not a new idea. It has developed several years ago, however, it continued through the movement of evidence-based practice following emerging well-known definition of David Sackett from evidence-based medicine. As other professionals, the movement of evidence-based practice, as well as its application in real setting faces to many challenges. This study aimed to address Evidence-based management definition, principles and its challenges for applying in real settings and the possible solutions to overcome the barriers.
Study of Tool Wear and Overcut in EDM Process with Rotary Tool and Magnetic Field
Reza Teimouri,Hamid Baseri
Advances in Tribology , 2012, DOI: 10.1155/2012/895918
Abstract: Tool wear and workpiece overcut have been studied in electrical discharge machining process with rotational external magnetic field and rotational electrode. Experiments have been divided to three main regimes, namely, low-energy regime, middle-energy regime, and high-energy regime. The influence of process parameters were investigated on electrode wear rate and overcut. Results indicate that applying a magnetic field around the machining gap increases the electrode wear rate and overcut. Also, rotation of the tool has negative effect on overcut. 1. Introduction Materials such as tool steel, ceramic, metal matrix composite, and Inconel widely are used in die molding, aerospace, surgical and automotive industries. Machining of these materials by using traditional machining is difficult due to high wear and corrosion resistance, hardness, and toughness properties of them. Electrical discharge machining (EDM) is a nontraditional method which is used most commonly to machining of difficult-to-machine materials. Flushing the debris from the machining gap is one of the major challenges in EDM process. Accumulation of debris in gap space causes inactive pulses such as short and open circuit and arc. These types of discharges do not remove any material from the workpiece and damage the surface integrity of machined specimen. By considering these reasons, researchers focus on the methods which improve the flushing in EDM. Methods such as EDM with rotating tool electrode [1–6], ultrasonic vibration assisted EDM [7–10], and compaction of vibration and rotation of electrode [5, 11] were introduced to develop the flushing, the eroded particle in gap space and improve the machining performance. Few researches have investigated the effect of rotary tool on machining characteristics in EDM. Soni and Chakraverti [1] analyzed the effect of rotary electrode tool on the EDM of titanium alloy. They found that the rotary motion of the tool increases the MRR and electrode wear rate (EWR) in all levels of current and pulse on time. Mohan et al. [2, 3] conducted the experimental study on Al-SiC composite material. They showed that the rotary electrode improves the MRR and reduce the surface roughness. Kuppan et al. [4] investigated the effects of various rotational speed of electrode on inconel 718. Results show that the increasing of the rotational speed is effective factor in low discharge energy. Ghoreishi and Atkinson [5] studied the influences of vibration and rotation of electrode on machining characteristics in three levels of machining pulse energy. Saha and Choudhury
A Novel Approach to Calculate Stable Densities
Mahdi Teimouri,Hamidreza Amindavar
Lecture Notes in Engineering and Computer Science , 2008,
Determining the Order Penetration Point in Auto Export Supply Chain by the Use of Dynamic Programming
M. Ahmadi,E. Teimouri
Journal of Applied Sciences , 2008,
Abstract: In this study, after studying the characteristics and concepts relating to the Order Penetration Point (OPP), a dynamic programming model which determines this point in auto export supply chain was proposed. One of the most important characteristics of this supply chain was that, the product was packaged in different modules and after various stockings and passing long routs, was assembled in the target country. This modularized characteristic of the product was encouraging to explore the OPP of the chain from one point to several points in which the OPP of each module was located. Our proposed model tried to put the OPP of expensive modules (that have higher inventory holding cost) in the upstream section of the chain and puts the OPP of cheaper ones which created delay, in the downstream section of the chain. And finally, a numerical example was provided and solved to illustrate the application of our proposed model.
Parameter Estimation of Turbo Code Encoder
Mehdi Teimouri,Ahmadreza Hedayat
Advances in Electrical Engineering , 2014, DOI: 10.1155/2014/282108
Abstract: The problem of reconstruction of a channel code consists of finding out its design parameters solely based on its output. This paper investigates the problem of reconstruction of parallel turbo codes. Reconstruction of a turbo code has been addressed in the literature assuming that some of the parameters of the turbo encoder, such as the number of input and output bits of the constituent encoders and puncturing pattern, are known. However in practical noncooperative situations, these parameters are unknown and should be estimated before applying reconstruction process. Considering such practical situations, this paper proposes a novel method to estimate the above-mentioned code parameters. The proposed algorithm increases the efficiency of the reconstruction process significantly by judiciously reducing the size of search space based on an analysis of the observed channel code output. Moreover, simulation results show that the proposed algorithm is highly robust against channel errors when it is fed with noisy observations. 1. Introduction Channel code reconstruction problem is usually considered in noncooperative communication scenarios, where finding the structure and parameters of the channel code is a major goal of the receiver [1–14]. Since turbo codes are introduced in many standards and applications [15–22], blind reconstruction of turbo codes in practical noncooperative situations is a well motivated problem. This problem has been investigated in [1–4, 8, 11], where some of the code parameters are assumed to be known to the receiver, such as the number of input and output bits of each constituent convolutional code and the structure of puncturing matrix. Having the above parameters, the receiver becomes capable of separating the received coded stream into three sets [3]: systematic bits, parity bits of the first convolutional encoder, and parity bits of the second convolutional encoder. Now the turbo code reconstruction problem converts into three simpler reconstruction problems: two convolutional code reconstruction problems and one interleaver reconstruction problem. However, in most practical noncooperative situations, the parameters of turbo code are unknown and thus should be estimated before applying reconstruction process or to test each possible set of parameters which is highly time consuming. To the best of the authors’ knowledge, no algorithm has yet been proposed for estimating these parameters, and this paper is the first to propose a novel method to estimate above-mentioned parameters before applying the turbo code reconstruction
On the Impact of Manufacturing Uncertainty in Structural Health Monitoring of Composite Structures: A Signal to Noise Weighted Neural Network Process  [PDF]
Hessamodin Teimouri, Abbas S. Milani, Rudolf Seethaler, Amir Heidarzadeh
Open Journal of Composite Materials (OJCM) , 2016, DOI: 10.4236/ojcm.2016.61004
Abstract: This article investigates the potential impact of manufacturing uncertainty in composite structures here in the form of thickness variation in laminate plies, on the robustness of commonly used Artificial Neural Networks (ANN) in Structural Health Monitoring (SHM). Namely, the robustness of an ANN SHM system is assessed through an airfoil case study based on the sensitivity of delamination location and size predictions, when the ANN is imposed to noisy input. In light of the observed poor performance of the original network, even when its architecture was carefully optimized, it had been proposed to weigh the input layer of the ANN by a set of signal-to-noise (SN) ratios and then trained the network. Both damage location and size predictions of the latter SHM approach were increased to above 90%. Practical aspects of the proposed robust SN-ANN SHM have also been discussed.
Effect of Microbial Inoculants on the Nutritive Value of Corn Silage for Beef Cattle
M. Kamarloiy,A. Teimouri Yansari
Pakistan Journal of Biological Sciences , 2008,
Abstract: This study investigated the effect of a new microbial inoculant product on the composition and nutritive value of corn silage in big silo over one year that used beef cattle. Six Holstein beef steer (BW = 225 ±17) were allotted to 2x2 repeated Latin square design at two 21 days periods (adaptation, 14 days and sample collection, 7 days) for evaluation the effect of microbial inoculation on the composition and nutritive value of corn silage for beef cattle. Two treatments, forages were untreated or treated at ensiling with Lactobacillus plantarum and Propionibacterium acidipropionici silage inoculants. After 45 days from ensiling, the ration that contained 94.5 and 5, 0.2, 0.2, 0.1% of DM silage and ground barely, mineral-vitamin, dicalcium phosphate, salt, respectively, were offered for free choice consumption. Treatment with Lactobacillus plantarum and Propionibacterium acidipropionici inoculant increased daily dry matter intake and subsequently NDF, ether extract, crude protein and ash. Apparent digestibility of DM and nutrients were significantly increased by microbial inoculation. Microbial inoculation can improve the nutritive value of corn silage for beef cattle.
The Role of Source Delocalization in the Development of Morphogen Gradients
Hamid Teimouri,Anatoly B. Kolomeisky
Physics , 2014, DOI: 10.1088/1478-3975/12/2/026006
Abstract: Successful biological development via spatial regulation of cell differentiation relies on action of multiple signaling molecules that are known as morphogens. It is now well established that signaling molecules create non-uniform concentration profiles, morphogen gradients, that activate different genes, leading to patterning in the developing embryos. The current view of the formation of morphogen gradients is that it is a result of complex reaction-diffusion processes that include the strongly localized production, diffusion and uniform degradation of signaling molecules. However, multiple experimental studies also suggest that the production of morphogen in many cases is delocalized. We develop a theoretical method that allows us to investigate the role of the delocalization in the formation of morphogen gradients. The approach is based on discrete-state stochastic models that can be solved exactly for arbitrary production lengths and production rates of morphogen molecules. Our analysis shows that the delocalization might have a strong effect on mechanisms of the morphogen gradient formation. The physical origin of this effect is discussed.
All-time dynamics of continuous-time random walks on complex networks
Hamid Teimouri,Anatoly B. Kolomeisky
Physics , 2013, DOI: 10.1063/1.4792726
Abstract: The concept of continuous-time random walks (CTRW) is a generalization of ordinary random walk models, and it is a powerful tool for investigating a broad spectrum of phenomena in natural, engineering, social and economic sciences. Recently, several theoretical approaches have been developed that allowed to analyze explicitly dynamics of CTRW at all times, which is critically important for understanding mechanisms of underlying phenomena. However, theoretical analysis has been done mostly for systems with a simple geometry. Here we extend the original method based on generalized master equations to analyze all-time dynamics of CTRW models on complex networks. Specific calculations are performed for models on lattices with branches and for models on coupled parallel-chain lattices. Exact expressions for velocities and dispersions are obtained. Generalized fluctuations theorems for CTRW models on complex networks are discussed.
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