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Institution

Azarbaijan Shahid Madani University

EducationTabriz, Iran
About: Azarbaijan Shahid Madani University is a education organization based out in Tabriz, Iran. It is known for research contribution in the topics: Graphene & Nanocomposite. The organization has 1477 authors who have published 3186 publications receiving 30278 citations. The organization is also known as: Azarbaijan University.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a simple and highly sensitive electrochemical method is developed for the determination of clonazepam (CZP) based on a silver nanoparticles/multi walled carbon nanotubes nanocomposite modified glassy carbon electrode (AgNPs/MWCNTs/GCE).

66 citations

Journal ArticleDOI
TL;DR: A new semi-local and free-parameter centrality measure is proposed by applying the natural characteristics of complex networks that can assign higher ranks for structural holes as better spreaders in the network.
Abstract: Identifying the most influential spreaders with the aim of reaching a maximum spreading ability has been a challenging and crucial topic so far. Many centrality measures have been proposed to identify the importance of nodes in spreader detection process. Centrality measures are used to rank the spreading power of nodes. These centralities belong to either local, semi-local, or global category. Local centralities have accuracy problem and global measures need a higher time complexity that are inefficient for large-scale networks. In contrast, semi-local measures are popular methods that have high accuracy and near-linear time complexity. In this paper, we have proposed a new semi-local and free-parameter centrality measure by applying the natural characteristics of complex networks. The proposed centrality can assign higher ranks for structural holes as better spreaders in the network. It uses the positive effects of second-level neighbors’ clustering coefficient and negative effects of node's clustering coefficient in defining the importance of nodes. Therefore, the proposed centrality avoids selection of spreaders that are too close to one another. We compare the proposed method with different centrality measures based on Susceptible–Infected–Recovered (SIR) and Susceptible–Infected (SI) models on both artificial and real-world networks. Experiments on both artificial and real networks show that our method has its competitive advantages over the other compared centralities.

66 citations

Journal ArticleDOI
15 Nov 2021-Energy
TL;DR: The results illustrate the efficacy of this model in manipulating market clearing price in favor of the MES, while different case studies show the privileges of utilizing a hybrid RO-SP method.

65 citations

Journal ArticleDOI
TL;DR: By using the Caputo type and the Riemann-Liouville type fractional q-derivative, this paper investigated the existence of solutions for a multi-term pointwise defined fractional Q-integro-differential equation with some boundary value conditions.
Abstract: By using the Caputo type and the Riemann–Liouville type fractional q-derivative, we investigate the existence of solutions for a multi-term pointwise defined fractional q-integro-differential equation with some boundary value conditions. In fact, we give some results by considering different conditions and using some classical fixed point techniques and the Lebesgue dominated convergence theorem.

65 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of stacking fault energy on the microstructural evolution and mechanical properties of the joints was evaluated by electron backscattered diffraction and transmission electron microscopy.

63 citations


Authors
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202314
202233
2021460
2020489
2019406
2018377