Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Bahmanzadegan A"'
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-16 (2024)
Abstract Background The effects of mesenchymal stem cells (MSCs) on heart failure (HF) have been controversial. This study was conducted to investigate whether the transplantation of MSCs after HF could help improve clinical outcomes and myocardial p
Externí odkaz:
https://doaj.org/article/81db41b1a8eb47c89672cfddd94374e4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This study aims to develop two models for thermodynamic data on hydrogen generation from the combined processes of dimethyl ether steam reforming and partial oxidation, applying artificial neural networks (ANN) and response surface methodolo
Externí odkaz:
https://doaj.org/article/27dd4e4e3cb241208b10477a5ab019f3
Autor:
Vahid Tavallali, Atefeh Bahmanzadegan, Mohammad Javad Ghodrati Tazangi, Mohammad Javad Mahdavi Lasibi
Publikováno v:
Food Chemistry Advances, Vol 5, Iss , Pp 100812- (2024)
The purpose of this study was to investigate the interaction between sodium bicarbonate stress (SBCS) (0, 10, 20, and 40 mM) and zinc nanocomplex (Zn NC) (0, 1, 2, and 4 mM) on the growth and bioactive compounds of Hyssopus officinalis L. plants at t
Externí odkaz:
https://doaj.org/article/b1134e6064704a54be27dbb58c419138
Autor:
Marziyeh Ahmadi, Fatemeh Bahmanzadegan, Mohammad Qasemnazhand, Ahad Ghaemi, Hamid Ramezanipour Penchah
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract This research investigates the enhancement of CO2 adsorption capacity through the use of modified activated carbon (AC) with LiOH, focusing on operational conditions and adsorbent properties. Response Surface Methodology (RSM) is employed to
Externí odkaz:
https://doaj.org/article/4fdca4d739fc44d4b0871c2a75047198
Autor:
Tavallali, Vahid, Bahmanzadegan, Atefeh, Tazangi, Mohammad Javad Ghodrati, Lasibi, Mohammad Javad Mahdavi
Publikováno v:
In Food Chemistry Advances December 2024 5
Autor:
Kamyar Naderi, Mohammad Sadegh Kalami Yazdi, Hanieh Jafarabadi, Fatemeh Bahmanzadegan, Ahad Ghaemi, Mohammad Reza Mosavi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Flue gas desulfurization (FGD) is a critical process for reducing sulfur dioxide (SO2) emissions from industrial sources, particularly power plants. This research uses calcium silicate absorbent in combination with machine learning (ML) to p
Externí odkaz:
https://doaj.org/article/d56ef7e454bc42c2925e572cb8accbdf
Publikováno v:
In Industrial Crops & Products August 2024 214
Modification and functionalization of zeolites to improve the efficiency of CO2 adsorption: A review
Autor:
Fatemeh Bahmanzadegan, Ahad Ghaemi
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 9, Iss , Pp 100564- (2024)
The urgent need to combat climate change by reducing atmospheric carbon dioxide (CO2) levels is emphasized due to its detrimental effects. An extensively employed approach for CO2 removal involves the use of solid adsorbents. Zeolite-based adsorbents
Externí odkaz:
https://doaj.org/article/1d94da2365b04f3c8b7eba3dbaa5d01f
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 9, Iss , Pp 100750- (2024)
Water removal research is a critical study area across diverse industries and scientific domains. This investigation evaluates three prominent machine learning models including Artificial Neural Networks, Random Forest, and XGBoost for their predicti
Externí odkaz:
https://doaj.org/article/2e535df7e66145f9abb1753df8c2d23d
Autor:
Fatemeh Bahmanzadegan, Ahad Ghaemi
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 9, Iss , Pp 100595- (2024)
Kaolin-based zeolites have high adsorption capacity due to their combination of mesoporous and microporous structures. In this research, artificial neural networks (ANN) and response surface methodology (RSM) were utilized to model and optimize the c
Externí odkaz:
https://doaj.org/article/4b1de25380134a799ff1d2115c6fd448