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Search Results: 1 - 10 of 461840 matches for " A Ganjali "
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On Type IIA String Theory on the PP-wave Background
Mohsen Alishahiha,Mohammad A. Ganjali,Ahmad Ghodsi,Shahrokh Parvizi
Physics , 2002, DOI: 10.1016/S0550-3213(03)00298-0
Abstract: We study type IIA superstring theory on a PP-wave background with 24 supercharges. This model can exactly be solved and then quantized. The open string in this PP-wave background is also studied. We observe that the theory has supersymmetric Dp-branes for p=2,4,6,8.
Evaluation of Arsenic, Magnesium and Calcium in Drinking Water of Ghouri-Goul Region in Tabriz
A. Javadi,S.A. Khatibi,M. Khakpour,M. Ganjali,H. Ghorbanpour
Research Journal of Applied Sciences , 2012,
Abstract: Drinking of the Arsenic contaminated water has harmful effects on digestive tract, cardiovascular system and central nervous system. Also, presences of calcium and magnesium metals in potable water prevent cardiovascular and cerebrovascular diseases. However, high amounts of recent compounds have some difficulties for watering, industrial and home using. So, in order to evaluating of water quality in Ghouri-Goul region, thirty six samples were taken during a year in order to determination of cited metals by means of atomic absorption spectrometry. ANOVA and one sample T-test were used for analyzing of data. In according with present study, mean of the arsenic calcium and magnesium were 0.0067, 30.97 and 12.75 mg L-1, respectively. The results of present study show that there is no significant difference in aqueous concentration of Arsenic, Calcium and magnesium during a year (p>0.005) and they have acceptable amount, accordance of Iranian standards.
A. R. Koohpaei ? S. J. Shahtaheri ? M. R. GanjaliA. Rahimi Forushani
Iranian Journal of Environmental Health Science & Engineering , 2008,
Abstract: Solid phase extraction is one of the major applications of molecularly imprinted polymers fields for clean-up of environmental and biological samples namely molecularly imprinted solid-phase extraction. In this study, solid phase extraction using the imprinted polymer has been optimized with the experimental design approach for a triazine herbicide, named atrazine with regard to the critical factors which influence the molecular imprinted solid phase extraction efficiency such as sample pH, concentration, flow-rate, volume, elution solvent, washing solvent and sorbent mass. Optimization methods that involve changing one factor at a time can be laborious. A novel approach for the optimization of imprinted solid-phase extraction using chemometrics is described. The factors were evaluated statistically and also validated with spiked water samples and showed a good reproducibility over six consecutive days as well as six within-day experiments. Also, in order to the evaluate efficiency of the optimized molecularly imprinted solid-phase extraction protocols, enrichment capacity, reusability and cross-reactivity of cartridges have been also evaluated. Finally, selective molecularly imprinted solid-phase extraction of atrazine was successfully demonstrated with a recovery above 90% for spiked drinking water samples. It was concluded that the chemometrics is frequently employed for analytical method optimization and based on the obtained results, it is believed that the central composite design could prove beneficial for aiding the molecularly imprinted polymer and molecularly imprinted solid-phase extraction development.
Evaluation of Barley (Hordeum vulgare L. var. Karon dar Kavir) Stress Tolerance to Cl/SO4 Anionic Ratio of Irrigation Water
M Eskandari Torbaghan,A.L Astaraei,M Eskandari Torbaghan,A Ganjali
Journal of Science and Technology of Agriculture and Natural Resources , 2010,
Abstract: Chlorine and sulfate toxicity in water and soils are the main factors limiting growth and yield of most plants. Tolerance and sensitive indexes related to Cl and SO4 in irrigation water and effect of nitrogen fertilizer on barley were evaluated in a completely randomized design with three replications, under greenhouse conditions. Quantity salinity tolerance and susceptibility indices such as Mean Productivity (MP), Tolerance Index (TOL), Geometric Mean Productivity (GMP), Stress Susceptibility Index (SSI), Reduction Yield Ratio (Yr) and Stress Tolerance Index (STI) on the basis of plant yield with stress (Ys) and without stress (Yp) conditions were determined. Results showed that STI had a positive and highest significant correlation with grain and straw yields, compared to other indexes. Study of Standard Beta contents in grain and straw with STI index showed that the impact of Cl had a greater effect on reduction of salinity tolerance than SO4. Also Cl/SO4 ratios of 1:3 and 1:2 for grain and 1:2 and 1:1 for plant straw brought about highest tolerance to salinity, compared to non stress conditions. The scatter plot also confirmed such findings.
A new homatropine potentiometric membrane sensor as a useful device for homatropine hydrobromide analysis in pharmaceutical formulation and urine: a computational study
Ganjali, Mohammad Reza;Memari, Zahra;Riahi, Siavash;Faridbod, Farnoush;Norouzi, Parviz;Sian, Manesha A. K.;
Journal of the Brazilian Chemical Society , 2009, DOI: 10.1590/S0103-50532009000500018
Abstract: homatropine (equipin, isopto homatropine) is an anticholinergic medication that inhibits muscarinic acetylcholine receptors and thus the parasympathetic nervous system. it is available as the hydrobromide or methylbromide salt. in this study, a potentiometric liquid membrane sensor for simple and fast determination of homatropine hydrobromide in pharmaceutical formulation and urine was constructed. for the membrane preparation, homatropine-tetraphenylborate complexes were employed as electroactive materials in the membrane. the proposed sensor presents wide linear range (10-5-10-1 mol l-1), low detection limit (8×10-6 mol l-1), and fast response time (ca. 10 s). validation of the method shows suitability of the sensors for applicability in the quality control analysis of homatropine hydrobromide in pharmaceutical formulation and urine.
M. Rahiminejad ? S. J. Shahtaheri ? M. R. GanjaliA. Rahimi Forushani ? F. Golbabaei
Iranian Journal of Environmental Health Science & Engineering , 2009,
Abstract: Amongst organophosphate pesticides, the one most widely used and common environmental contaminant is diazinon; thus methods for its trace analysis in environmental samples must be developed. Use of diazinon imprinted polymers such as sorbents in solid phase extraction, is a prominent and novel application area of molecular imprinted polymers. For diazinon extraction, high performance liquid chromatography analysis was demonstrated in this study. During optimization of the molecular imprinted solid phase extraction procedure for efficient solid phase extraction of diazinon, Plackett-Burman design was conducted. Eight experimental factors with critical influence on molecular imprinted solid phase extraction performance were selected, and 12 different experimental runs based on Plackett-Burman design were carried out. The applicability of diazinon imprinted polymers as the sorbent in solid phase extraction, presented obtained good recoveries of diazinon from LC-grade water. An increase in pH caused an increase in the recovery on molecular imprinted solid phase extraction. From these results, the optimal molecular imprinted solid phase extraction procedure was as follows: solid phase extraction packing with 100 mg diazinon imprinted polymers; conditioning with 5 mL of methanol and 6 mL of LC-grade water; sample loading containing diazinon (pH=10); washing with 1 mL of LC-grade water, 1 mL LC- grade water containing 30% acetonitrile and 0.5 mL of acetonitrile, respectively; eluting with 1 mL of methanol containing 2% acetic acid. The percentage recoveries obtained by the optimized molecular imprinted solid phase extraction were more than 90% with drinking water spiked at different trace levels of diazinon. Generally speaking, the molecular imprinted solid phase extraction procedure and subsequent high performance liquid chromatography analysis can be a relatively fast and proper approach for qualitative and quantitative analysis of diazinon in drinking water.
SMS: Tool for L2 Vocabulary Retention and Reading Comprehension Ability
Khalil Motallebzadeh,Razyeh Ganjali
Journal of Language Teaching and Research , 2011, DOI: 10.4304/jltr.2.5.1111-1115
Abstract: Mobile phones are the new addition to the information and communication technologies (ITC) for learning. The purpose of this study was to examine the effects of SMS on vocabulary retention and reading comprehension ability of Iranian EFL learners. Forty university students were assigned into experimental and control groups. The participants in experimental group received English words as well as definitions and example sentences through SMS in a spaced and scheduled pattern of delivery three times a week throughout 16 sessions while those in control group were taught new words though conventional board and paper technique for the same period. The participants were assessed biweekly. Results of t-test analysis indicated that participants in SMS group could significantly outperform those in control group. The results of this study can also provide pedagogical implications for utilizing SMS as an effective and flexible learning tool.
M. Ganjali,T. Baghfalaki
Journal of Reliability and Statistical Studies , 2012,
Abstract: In this paper, Bayesian inference for unemployment duration data in the presence ofright and interval censoring, where the proportionality assumption does not hold, is discussed. Inorder to model these kinds of duration data with some explanatory variables, Bayesian loglogistic,log-normal and Weibull accelerated failure time (AFT) models are used. In thesemodels, sampling from the joint posterior distribution of the unknown quantities of interest areobtained through the use of Markov chain Monte Carlo (MCMC) methods using the availableWinBUGS software. These models are also applied for unemployment duration data of Iran in2009. The models are compared using deviance information criterion (DIC). Two new sensitivityanalyses are also performed to detect: (1) the modification of the parameter estimates withrespect to the alteration of generalized variance of the multivariate prior distribution of regressioncoefficients, and (2) the change of the posterior estimates with respect to the deletion ofindividuals with high censoring values using Kullback-Leibler divergence measure.
Analysis of the glucokinase gene in Iranian families with maturity onset diabetes of the young  [PDF]
Meisam Javadi, Houshang Rafatpanah, Seyed Morteza Taghavi, Jalil Tavakolafshari, Rashin Ganjali, Narges Valizadeh, Seyedeh Seddigheh Fatemi
Journal of Diabetes Mellitus (JDM) , 2013, DOI: 10.4236/jdm.2013.34029

Non insulin dependent diabetes mellitus (NIDDM) as a most common form of diabetes is a major public health problem; there is a subgroup of NIDDM patients who develop the disease at an early age and show a dominant mode of inheritance. This type is nominates Maturity onset diabetes of the young (MODY). The prevalence of MODY is difficult to access, and patients with MODY genes mutations are often identified during routine screening for other purposes. MODY2 was linked to glucokinase gene (GCK) mutations, and accounted for 8% to 56% of MODY, with the highest prevalence found in the southern Europe. The aim of this study was to examine the prevalence and nature of mutations in GCK gene in Iranian paients. We have screened GCK mutations by polymerase chain reaction (PCR); single stranded conformation polymorphism (SSCP) technique in 12 Iranian families with clinical diagnosis of MODY, included 30 patients (8 males and 22 females) and their 21 family members. PCR products with abnormal mobility in denaturing gradient gel electrophoresis (DGGE) were directly sequenced. We identified 6 novel mutations in GCK gene in Iranian families (corresponding to 36.6% prevalence). Our findings and the last study on MODY1 highlight that in addition to GCK, other MODY genes such as MODY3 and MODYX may play a significant role in diabetes characterized by monogenic autosomal dominant transmission. There is an important point that the genetic recognation can be used to pre-symptomatically identify family members at risk for developing MODY.

IPCA-CMI: An Algorithm for Inferring Gene Regulatory Networks based on a Combination of PCA-CMI and MIT Score
Rosa Aghdam, Mojtaba Ganjali, Changiz Eslahchi
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0092600
Abstract: Inferring gene regulatory networks (GRNs) is a major issue in systems biology, which explicitly characterizes regulatory processes in the cell. The Path Consistency Algorithm based on Conditional Mutual Information (PCA-CMI) is a well-known method in this field. In this study, we introduce a new algorithm (IPCA-CMI) and apply it to a number of gene expression data sets in order to evaluate the accuracy of the algorithm to infer GRNs. The IPCA-CMI can be categorized as a hybrid method, using the PCA-CMI and Hill-Climbing algorithm (based on MIT score). The conditional dependence between variables is determined by the conditional mutual information test which can take into account both linear and nonlinear genes relations. IPCA-CMI uses a score and search method and defines a selected set of variables which is adjacent to one of or Y. This set is used to determine the dependency between X and Y. This method is compared with the method of evaluating dependency by PCA-CMI in which the set of variables adjacent to both X and Y, is selected. The merits of the IPCA-CMI are evaluated by applying this algorithm to the DREAM3 Challenge data sets with n variables and n samples () and to experimental data from Escherichia coil containing 9 variables and 9 samples. Results indicate that applying the IPCA-CMI improves the precision of learning the structure of the GRNs in comparison with that of the PCA-CMI.
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