Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Majid Naghibzadeh"'
Autor:
Zahra Borzouie, Majid Naghibzadeh, Ali Reza Talebi, Fatemeh Pourrajab, Ali Jebali, Habib Nikukar, Hosein Molla Hoseini, Arezoo Khoradmehr, Fatemeh Sadeghian-Nodoushan, Behrouz Aflatoonian, Seyedhossein Hekmatimoghaddam
Publikováno v:
Cell Journal, Vol 21, Iss 3, Pp 300-306 (2019)
Objective: Recent achievements in stem cell biotechnology, nanotechnology and tissue engineering have led to development of novel approaches in regenerative medicine. Azoospermia is one of the challenging disorders of the reproductive system. Sever
Externí odkaz:
https://doaj.org/article/ba767e87a81b4049bd13ca77b455e3c6
Publikováno v:
Nanomedicine Research Journal, Vol 2, Iss 4, Pp 239-249 (2017)
Objective(s): This paper investigates the validity of Artificial Neural Networks (ANN) model in the prediction of electrospun kefiran nanofibers diameter using 4 effective parameters involved in electrospinning process. Polymer concentration, applied
Externí odkaz:
https://doaj.org/article/120358a5141a410eaee622868ba1c317
Publikováno v:
Journal of Pharmaceutical Innovation. 16:11-25
The main purpose of this study was to develop etoposide (ETP) and paclitaxel (PTX) co-loaded methoxy poly(ethylene glycol)-poly(lactic-co-glycolic acid) (mPEG-PLGA) nanoparticles (NPs) with optimized size to achieve co-delivery of ETP and PTX. In add
Autor:
Mehran Naghibzadeh, Seifollah Gholampour, Majid Naghibzadeh, Fatemeh Sadeghian-Nodoushan, Habib Nikukar
Publikováno v:
Dermatologic therapyREFERENCES. 33(4)
Maintaining the health of dermal fibroblast cells and controlling their growth and proliferation would directly affect the health of skin tissues. The present study encompassed three control and three experimental specimens, which were different in t
Publikováno v:
Advances in Polymer Technology. 37:1608-1617
In this research, the polyvinyl alcohol (PVA) nanofibers through forcespinning process were successfully produced and the effective parameters for predicting nanofibers diameter using artificial neural network (ANN) were investigated. The various par
Autor:
Hossein Ghanbari, Seyedeh Sara Esnaashari, Mahdi Adabi, Alexander M. Seifalian, Mohsen Adabi, Hammed Tanimowo Aiyelabegan, Majid Naghibzadeh, Mohammad Ali Zarrinfard, Reza Faridi-Majidi
Publikováno v:
Artificial Cells, Nanomedicine, and Biotechnology. 45:833-842
There has been huge interest in applications of nanomaterials in biomedical science, including diagnosis, drug delivery, and development of human organs. Number of these nanomaterials has been already studied in human or at pre-clinical trial. There
Publikováno v:
Neural Computing and Applications. 28:3131-3143
Chitosan/polyethylene oxide (PEO) solution makes electrospun nanofibers with decreased beads and diameters in comparison with lonely chitosan (CS). The aim of this work was to find an artificial neural network (ANN) model for predicting the chitosan/
Autor:
Zahra, Borzouie, Majid, Naghibzadeh, Ali Reza, Talebi, Fatemeh, Pourrajab, Ali, Jebali, Habib, Nikukar, Hosein, Molla Hoseini, Arezoo, Khoradmehr, Fatemeh, Sadeghian-Nodoushan, Behrouz, Aflatoonian, Seyedhossein, Hekmatimoghaddam
Publikováno v:
Cell Journal (Yakhteh)
Objective Recent achievements in stem cell biotechnology, nanotechnology and tissue engineering have led to development of novel approaches in regenerative medicine. Azoospermia is one of the challenging disorders of the reproductive system. Several
Autor:
Mahdi Adabi, Mohsen Adabi, Pouran Pourhakkak, Saman Firoozi, Majid Naghibzadeh, Mohammad Ali Karimi
Publikováno v:
e-Polymers. 15:127-138
The purpose of this study was to investigate the validity of an artificial neural network (ANN) method in the prediction of nanofiber diameter to assess the parameters involved in controlling fiber form and thickness. A mixture of polymers including
Publikováno v:
RSC Advances. 5:81243-81252
The aim of this work was to investigate the effective parameters for predicting the cathodic current in a polyacrylonitrile-based carbon nanofiber (CNF) electrode using an artificial neural network (ANN) method. The various factors including CNF diam