Institution
Payame Noor University
Education•Tehran, Iran•
About: Payame Noor University is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Catalysis & Adsorption. The organization has 7033 authors who have published 11451 publications receiving 122650 citations.
Topics: Catalysis, Adsorption, Nanocomposite, Cyclic voltammetry, Population
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a no-go theorem existing in quintom cosmology is introduced, and based on it, conditions for the equation of state of dark energy realizing the quintom scenario are discussed.
879 citations
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TL;DR: In this review, the main applications and liposome-based commercial products that are currently used in the medical field are summarized.
Abstract: Liposomes provide an established basis for the sustainable development of different commercial products for treatment of medical diseases by the smart delivery of drugs. The industrial applications include the use of liposomes as drug delivery vehicles in medicine, adjuvants in vaccination, signal enhancers/carriers in medical diagnostics and analytical biochemistry, solubilizers for various ingredients as well as support matrices for various ingredients and penetration enhancers in cosmetics.In this review, we summarize the main applications and liposome-based commercial products that are currently used in the medical field.
491 citations
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TL;DR: Among the most challenging problems that human beings appear to face are depleting energy sources and increasing environmental pollutions, Heterogeneous photocatalytic processes are the most reward as mentioned in this paper.
Abstract: Among the most challenging problems that human beings appear to face are depleting energy sources and increasing environmental pollutions. Heterogeneous photocatalytic processes are the most reward...
476 citations
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TL;DR: The main characteristics of mobile learning (m-learning) are recognized as the potential for learning process to be personalized, spontaneous, informal and ubiquitous as mentioned in this paper, and learners feel a greater sense of freedom of time and place, so that they can take the advantage of spare time to learn a second language when and where they are.
Abstract: The main characteristics of mobile learning (m-learning) are recognized as the potential for learning process to be personalized, spontaneous, informal and ubiquitous. Although learning through mobile phones may take longer time compared to computers, the learners feel a greater sense of freedom of time and place, so that they can take the advantage of spare time to learn a second language when and where they are. Mobile-Assisted Language Learning (MALL) deals with the use of mobile technology in language learning. In contrast to classroom learning, in MALL there is no need for the learners to sit in a classroom or at a computer to get learning materials. In fact, MALL can be considered an ideal solution to language learning barriers in terms of time and place. In this paper by looking at some applications of m-learning as well as some examples across various aspects of it, we observe the advantages and disadvantages derived from using mobile technologies for students as well as professionals. Here, it has been tried to demonstrate the benefits of using mobile phones in learning English as a second language. Areas of mobile-based language learning discussed in this paper are vocabulary, listening, grammar, phonetics, and reading comprehension.
445 citations
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TL;DR: In this article, the authors provide an overview of all the reported coordination polymers of mercury(II) after 1990 and a summary of their properties, showing that one-dimensional polymers constituted the majority of the most frequent coordination number for the metal.
356 citations
Authors
Showing all 7080 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rajender S. Varma | 95 | 672 | 37083 |
Mohammad Abdollahi | 90 | 1045 | 35531 |
Rafael Luque | 80 | 693 | 28395 |
Hossein Hosseinzadeh | 71 | 485 | 18160 |
Mahmoud Nasrollahzadeh | 64 | 314 | 10585 |
Ali Morsali | 60 | 826 | 17954 |
Mohammad Ali Zolfigol | 56 | 765 | 14878 |
M. R. Setare | 55 | 404 | 11782 |
Mojtaba Ghadiri | 54 | 294 | 8958 |
Hojat Veisi | 53 | 282 | 7329 |
Mohammad Norouzi | 51 | 159 | 18934 |
Alireza Foroumadi | 50 | 535 | 9505 |
Ebrahim Karimi | 49 | 254 | 8953 |
Ali Ramazani | 48 | 575 | 9253 |
Majid Ghayour-Mobarhan | 42 | 506 | 8564 |