Zobrazeno 1 - 10
of 97
pro vyhledávání: '"H A, Ansari"'
Autor:
Sherkawi H. Al-Ansari, Hassanien Gomaa, Rabeea D. Abdel-Rahim, Gomaa A. M. Ali, Adham M. Nagiub
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract In this study, gold-reduced graphene oxide (Au@rGO) nanocomposite has been synthesized by repurposing electronic waste and dry batteries. This innovative approach involved utilizing the graphite rod from dry batteries to produce reduced grap
Externí odkaz:
https://doaj.org/article/6a09ea0b4e8b40448a9c2a98c5e776c4
Publikováno v:
Maǧallaẗ al-baṣraẗ al-ʻulūm al-zirāʻiyyaẗ, Vol 36, Iss 2 (2023)
An outdoor pots experiment was conducted at agricultural research station, University of Basrah, southern Iraq (30°34'4.80" N 47°44'56.40" E) during winter season of 2021-2022. The study was carried to reveal the effect of Nano phosphate fertilizer
Externí odkaz:
https://doaj.org/article/061ff5af044f40ffbd568309a8753edf
Publikováno v:
Journal of Asian Multicultural Research for Medical and Health Science Study. 3:32-40
Gmelina arborea Roxb. (Family Verbenaceae) leaves have long been used in traditional medicine to cure a variety of medical conditions. The purpose of this study is to examine the methanol, hydro alcohol, aqueous, hexane, ethyl acetate, extracts of Gm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2208af241a025f238793ac0fc8d6c24
https://doi.org/10.47616/jamrmhss.v3i3.314
https://doi.org/10.47616/jamrmhss.v3i3.314
Autor:
Bharathy, Pavithra, Thanikachalam, Punniyakoti V., Parthasarathy, Nithya Priya, Elumalai, Pavithra, Krishnamoorthy Baskaran, Pavithra, L. H., Thameemul Ansari
Publikováno v:
Journal of Pharmaceutical Innovation; Dec2023, Vol. 18 Issue 4, p2362-2372, 11p
Autor:
H. R. Ansari-Renani
Publikováno v:
Media Peternakan, Vol 37, Iss 1, Pp 61-70 (2014)
Iran together with Afghanistan is the third largest producer and exporter of cashmere in the world, after China and Mongolia. This paper assesses the status of cashmere marketing of Iran in order to evaluate sustainability, and to identify some const
Externí odkaz:
https://doaj.org/article/b013c6efbc774776a0298cdcfa910031
Autor:
H. R. Ansari-Renani
Publikováno v:
Media Peternakan, Vol 36, Iss 1, Pp 1-5 (2013)
This paper assesses the cashmere quality in different Iranian cashmere goat breeds to determine the scope for improvement of fiber quality. In April 2009 midside cashmere samples were taken from a total of 168 male and female cashmere goats of 1, 2,
Externí odkaz:
https://doaj.org/article/b0d112f5347743cea6d58290d7a43de6
Autor:
M. Y. Ahmed, A. Anjum, Naseem Uddin, M. Salman, H. R. Ansari, S. S. Khan, H. A. Siddique, S. S. Ahmed, A. A. Khan, Usman Allauddin
Publikováno v:
Journal of Engineering Thermophysics. 30:75-102
Accurate prediction of the temperature and various species concentrations at combustor exhaust is very important. This work presents numerical investigations of a can-type combustor used in industrial gas turbines for power generation. The methane-ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb2456a1e8a937ef7de15062dda6a370
https://doi.org/10.1134/s1810232821010082
https://doi.org/10.1134/s1810232821010082
Autor:
H. R. Ansari-Renani
Publikováno v:
Media Peternakan, Vol 35, Iss 3, Pp 179-184 (2012)
This experiment was aimed to identify characteristics and comparative merits of Iranian sheep wool breeds. Fiber characteristics of 75 male and 137 female of 1, 2, 3 and 4 yr of age belonging to Afshari, Zandi, Mehrabani, Lori, and Baluchi sheep bree
Externí odkaz:
https://doaj.org/article/c7a5f74fa1f742c7a7e04b1f86eb01aa
Publikováno v:
JOM. 71:4696-4704
In the present study, restoration and texture evolution mechanisms were investigated during the semi-solid hot compression of AA7075 aluminum alloy using electron backscatter diffraction and x-ray diffraction analysis. The results indicated that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::419fa5e532f542ec784660fca9ff0895
https://doi.org/10.1007/s11837-019-03835-8
https://doi.org/10.1007/s11837-019-03835-8
Publikováno v:
Journal of Thermal Analysis and Calorimetry. 139:3757-3768
In the present research, an artificial neural network model was developed to predict the pool boiling heat transfer coefficient (HTC) of refrigerant-based nanofluids based on a large number of experimental data (1342) extracted from the literature. D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcced02c36821420aef490f3af53b6a1
https://doi.org/10.1007/s10973-019-08746-z
https://doi.org/10.1007/s10973-019-08746-z