Zobrazeno 1 - 10
of 1 042
pro vyhledávání: '"Malehmir A"'
Publikováno v:
راهبردهای کارآفرینی در کشاورزی, Vol 11, Iss 1, Pp 17-27 (2024)
Extended Abstract Background: The most important and most valuable strategic resource of organizations is its capable and creative human resources, in the absence of which other resources of an organization and even advanced technology are considered
Externí odkaz:
https://doaj.org/article/dac4a98cfd9b45678c2cce8cdb702b26
Autor:
Papadopoulou, Myrto, Zappalà, Samuel, Malehmir, Alireza, Kucinskaite, Kristina, Westgate, Michael, Gregersen, Ulrik, Funck, Thomas, Smit, Florian, Vosgerau, Henrik
Publikováno v:
In International Journal of Greenhouse Gas Control September 2024 137
Autor:
Malehmir, Behzad1 behzadpsycho4@gmail.com, Safarpour, Fatemeh2, Baharvand, Mahtab3, Gohari, Fatemeh4
Publikováno v:
Journal of Preventive Counselling. Feb2024, Vol. 5 Issue 1, p28-44. 16p.
Autor:
Shirin Malehmir, Mohammad Ali Esmaili, M. Khaksary Mahabady, Ali Sobhani-Nasab, Amir Atapour, Mohammad Reza Ganjali, Ali Ghasemi, Amin Moradi Hasan-Abad
Publikováno v:
Frontiers in Chemistry, Vol 11 (2023)
Nanoparticles have demonstrated noteworthy advancements in the management of various complex medical conditions, particularly cancer. In any case, these particles still harbor the potential to improve medicate conveyance to challenging, hard-to-reach
Externí odkaz:
https://doaj.org/article/e666891f70654853bb94f458e3189861
Autor:
Malehmir, Shirin, Abedini, Ali, Sobhani-Nasab, Ali, Eshraghi, Reza, Akbari, Maryam, Atapour, Amir, Moradi Hasan-Abad, Amin
Publikováno v:
In Inorganic Chemistry Communications August 2023
Akademický článek
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Autor:
Lähivaara, Timo, Malehmir, Alireza, Pasanen, Antti, Kärkkäinen, Leo, Huttunen, Janne M. J., Hesthaven, Jan S.
Convolutional neural networks can provide a potential framework to characterize groundwater storage from seismic data. Estimation of key components such as the amount of groundwater stored in an aquifer and delineate water-table level, from active-so
Externí odkaz:
http://arxiv.org/abs/1806.08375
Publikováno v:
Solid Earth, Vol 13, Pp 1065-1085 (2022)
A sparse 3D seismic survey was acquired over the Blötberget iron oxide deposits of the Ludvika Mines in south-central Sweden. The main aim of the survey was to delineate the deeper extension of the mineralisation and to better understand its 3D natu
Externí odkaz:
https://doaj.org/article/9872f0960ba64fbd85ef39c8896b484d
Autor:
F. Hloušek, M. Malinowski, L. Bräunig, S. Buske, A. Malehmir, M. Markovic, L. Sito, P. Marsden, E. Bäckström
Publikováno v:
Solid Earth, Vol 13, Pp 917-934 (2022)
We present pre-stack depth-imaging results for a case study of 3D reflection seismic exploration at the Blötberget iron oxide mining site belonging to the Bergslagen mineral district in central Sweden. The goal of the study is to directly image the
Externí odkaz:
https://doaj.org/article/1281461aaada4868837c64a05d94b9fb
Autor:
Malehmir, Alireza, Hong, Tae-Kyung, Lee, Junhyung, Zappalá, Samuel, Brodic, Bojan, Chung, Dongchan, Kim, Byeongwoo, Park, Seongjun, Lee, Jeongin, Kil, Dongwoo
Publikováno v:
In Tectonophysics 5 July 2022 834