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Institution

Islamic Azad University

EducationTehran, Iran
About: Islamic Azad University is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Population & Adsorption. The organization has 83635 authors who have published 113437 publications receiving 1275049 citations. The organization is also known as: Azad University.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the photocatalytic degradation of acid red 27 (AR27) was investigated using UV radiation in the presence of TiO2-P25 as a function of initial concentration of AR27 ([AR27]0), oxygen concentration ([O2]), TiO 2-P 25 amount, light intensity (Ia), pH and temperature.
Abstract: The photocatalytic degradation of Acid Red 27 (AR27) was investigated using UV radiation in the presence of TiO2-P25 as a function of initial concentration of AR27 ([AR27]0), oxygen concentration ([O2]), TiO2-P25 amount, light intensity (Ia), pH and temperature. The activation energy of the photocatalytic degradation of AR27 was 8.24 kJ mol−1. The photocatalytic degradation rate follows pseudo-first order kinetic with respect to the AR27 concentration. The following rate of decolorization was achieved by kinetic modeling: r AR 27 =5.294 I a exp −8247 RT 0.79 O 2 1+0.79 O 2 4.23 AR 27 1+4.23 AR 27 0 The calculated results obtained from above equation were in good agreement with experimental data. This model predicts the concentration of AR27 during the photodegradation process at different temperatures, light intensities, AR27 and oxygen concentrations.

215 citations

Journal ArticleDOI
TL;DR: An improved PSO variant, with enhanced leader, named as enhanced leader PSO (ELPSO) is used and results confirm that in most of the cases, ELPSO outperforms conventional PSO and a couple of other state of the art optimisation algorithms.

215 citations

Journal ArticleDOI
TL;DR: In this article, an analysis of learning styles for Iranian EFL students was conducted to increase faculty awareness and understand of the effect of learning style on the teaching process. But, the authors did not consider the effect on the learning styles of the students.
Abstract: One of the most important uses of learning styles is that it makes it easy for teachers to incorporate them into their teaching. There are different learning styles. Three of the most popular ones are visual, auditory, and kinaesthetic in which students take in information. Some students are visual learners, while others are auditory or kinaesthetic learners. While students use all of their senses to take in information, they seem to have preferences in how they learn best. In order to help students learn, teachers need to teach as many of these preferences as possible. Teachers can incorporate these learning styles in their curriculum activities so that students are able to succeed in their classes . This study is an analysis of learning styles for Iranian EFL students. The purpose of this study is to increase faculty awareness and understanding of the effect of learning styles on the teaching process. A review of the literature will determine how learning styles affect the teaching process. Keywords : Learning styles, Auditory, Visual, Kinaesthetic, Effective Teaching

214 citations

Journal ArticleDOI
TL;DR: In this article, the pros and cons of using solid lipid nanoparticles (SLNs) and nanostructured lipid carriers (NLCs) in the food industry are discussed.
Abstract: Background Lipid nanoparticles are innovative delivery systems, which are similar to the prevalently used emulsions, with the differences in size and structure in which the water-insoluble core is dispersed in a combination of solid and liquid lipids stabilized by surfactants. Solid lipid nanoparticles (SLNs) plus nanostructured lipid carriers (NLCs) are novel and promising nano-vehicles, which are of great interest to be applied in the food sector owing to their exclusive properties, as investigated in this revision. Scope and approach LNs and NLCs are produced to unite the advantages of structures like liposomes and emulsions and they can be formulated to achieve desirable protection and release of food bioactive ingredients. This review highlights the pros and cons of using SLNs and NLCs in the food industry. Furthermore, the commonly applied production methods and formulations along with the recently conducted studies in the field of food science and technology are underlined. Key findings and conclusions These nano-vehicles have the potential to be employed in the food industrial applications in regard to their beneficial properties like simple production technology, low cost and scale up ability. These nanocarriers have been mostly applied in the pharmaceutical industries and are recently being utilized in the food sector, which seems to have great impacts on this industry as well as their commercialization in the near future.

214 citations

Journal ArticleDOI
TL;DR: It was found that the ANN model is more accurate as compared to the various empirical models available and a high conformity was observed between the measured and predicted peak particle velocity by the developed ANN model.
Abstract: The purpose of this article is to evaluate and predict blast-induced ground vibration at Shur River Dam in Iran using different empirical vibration predictors and artificial neural network (ANN) model. Ground vibration is a seismic wave that spreads out from the blasthole when explosive charge is detonated in a confined manner. Ground vibrations were recorded and monitored in and around the Shur River Dam, Iran, at different vulnerable and strategic locations. A total of 20 blast vibration records were monitored, out of which 16 data sets were used for training of the ANN model as well as determining site constants of various vibration predictors. The rest of the 4 blast vibration data sets were used for the validation and comparison of the result of ANN and different empirical predictors. Performances of the different predictor models were assessed using standard statistical evaluation criteria. Finally, it was found that the ANN model is more accurate as compared to the various empirical models available. As such, a high conformity (R 2 = 0.927) was observed between the measured and predicted peak particle velocity by the developed ANN model.

214 citations


Authors

Showing all 83704 results

NameH-indexPapersCitations
Ajit Kumar Mohanty141112493062
Pierluigi Paolucci1381965105050
Eric Conte132120684593
Patrizia Azzi132127583686
D. Del Re131140687230
Jean-Laurent Agram128122184423
Seyed Mohsen Etesami128110176488
Jean-Charles Fontaine128119084011
Roberta Arcidiacono128132280917
Tejinder Virdee128120874372
Frank Hartmann127111681455
Paolo Azzurri126105881651
Achim Stahl1241248111121
Federica Primavera12087663895
Riccardo Andrea Manzoni12094667897
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202335
2022372
202111,539
202012,092
201911,011
201810,260