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819 results on '"Eftekhari, Mohammad"'

2. Investigating the classical problem of pursuit, in two modes

Author

Kalameh, Amir Hossein Arshadi, Komitaki, Kourosh Bayati, Sharifian, Reza, and Eftekhari, Mohammad Mahdi

Subjects
Physics - Classical Physics
Abstract

The pursuit problem is a historical issue of the application of mathematics in physics, which has been discussed for centuries since the time of Leonardo Da Vinci, and its applications are wide ranging from military and industrial to recreational, but its place of interest is nowhere but nature and inspiration from the way of migration of birds and hunting of archer fish. The pursuit problem involves one or more pursuers trying to catch a target that is moving in a certain direction. In this article, we delve into two modes of movement: movement on a straight line and movement on a curve. Our primary focus is on the latter. Within the context of movement on a straight line, we explore two methods and compare their respective results. Furthermore, we investigate the movement of two particles chasing each other and extend these findings to N particles that are chasing each other in pairs. By leveraging these two modes of movement, we present a novel relationship for two-particle and N-particle systems in pursuit. Lastly, we analyze the movement of moths around a lamp and evaluate their motion in relation to two-particle and N-particle systems in pursuit. The results of this analysis are carefully examined.

Published
2023

41. Cryptanalysis of some protocols using matrices over group rings

Author

Eftekhari, Mohammad

Subjects
Computer Science - Cryptography and Security
Abstract

We address a cryptanalysis of two protocols based on the supposed difficulty of discrete logarithm problem on (semi) groups of matrices over a group ring. We can find the secret key and break entirely the protocols.

Published
2015

43. Modelling and optimising the performance of graphene oxide-Cu2SnS3-polyaniline nanocomposite as an adsorbent for mercury ion removal.

Author

Enferadi, Sara, Eftekhari, Mohammad, Gheibi, Mohammad, Moghaddam, Nikoo Nabizadeh, Wacławek, Stanislaw, and Behzadian, Kourosh

Subjects
POLYANILINES, MERCURY, GRAPHENE oxide, RANDOM forest algorithms, FIELD emission electron microscopy, RESPONSE surfaces (Statistics), NANOCOMPOSITE materials, GRAPHENE
Abstract

Finding a cost-effective, efficient, and environmentally friendly technique for the removal of mercury ion (Hg2+) in water and wastewater can be a challenging task. This paper presents a novel and efficient adsorbent known as the graphene oxide-Cu2SnS3-polyaniline (GO-CTS-PANI) nanocomposite, which was synthesised and utilised to eliminate Hg2+ from water samples. The soft–soft interaction between Hg2+ and sulphur atoms besides chelating interaction between -N and Hg2+ is the main mechanism for Hg2+ adsorption onto the GO-CTS-PANI adsorbent. Various characterisation techniques, including Fourier transform infrared spectrophotometry (FT-IR), field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDX), transmission electron microscopy (TEM), elemental mapping analysis, and X-ray diffraction analysis (XRD), were employed to analyse the adsorbent. The Box-Behnken method, utilising Design Expert Version 7.0.0, was employed to optimise the crucial factors influencing the adsorption process, such as pH, adsorbent quantity, and contact time. The results indicated that the most efficient adsorption occurred at pH 6.5, with 12 mg of GO-CTS-PANI adsorbent, and 30-min contact time that results in a maximum removal rate of 95% for 50 mg/L Hg2+ ions. The study also investigated the isotherm and kinetics of the adsorption process that the adsorption of Hg2+ onto the adsorbent happened in sequential layers (Freundlich isotherm) and followed by the pseudo-second-order kinetic model. Furthermore, response surface methodology (RSM) analysis indicates that pH is the most influential parameter in enhancing adsorption efficiency. In addition to traditional models, this study employed some artificial intelligence (AI) methods including the Random Forest algorithm to enhance the prediction of adsorption process efficiency. The findings demonstrated that the Random Forest algorithm exhibited high accuracy with a correlation coefficient of 0.98 between actual and predicted adsorption rates. This study highlights the potential of the GO-CTS-PANI nanocomposite for effectively removing of Hg2+ ions from water resources. [ABSTRACT FROM AUTHOR]

Published
2024
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46. The effects of powdered drinks enriched with curcumin and probiotics on lipid profile and atherogenic indices in patients with metabolic syndrome: A randomized, double‐blinded, placebo‐controlled clinical trial

Author

Mohammadi, Farzaneh, primary, Mohsenpour, Mohammad Ali, additional, Sohrabi, Zahra, additional, Niakousari, Mehrdad, additional, Jeddi, Marjan, additional, Hassanzadeh, Jafar, additional, Ferns, Gordon A., additional, and Eftekhari, Mohammad Hassan, additional

Published
2023
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49. Effects of Probiotics and Magnesium Co-supplementation on Stress Levels and Quality of Life in Obese Patients with Depressed Mood: A Randomized, Double-Blinded Placebo-Controlled Clinical Trial

Author

Ghasvarian, Marzieh, primary, Mahboobi, Sepideh, additional, Sadeghi, Reza, additional, Ghaem, Haleh, additional, Hedayati, Arvin, additional, Alipour, Shohre, additional, Valisoltani, Neda, additional, Rajabi harsini, Asma, additional, and Eftekhari, Mohammad Hassan, additional

Published
2023
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