Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Alireza Kheirkhahan"'
Autor:
Fatemeh Motaharinezhad, Alireza Emadi, Motahareh Hosnian, Alireza Kheirkhahan, Ahmad Jayedi, Fatemeh Ehsani
Publikováno v:
BMC Women's Health, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Polycystic ovarian syndrome (PCOS) is one of the most common endocrine illnesses. There is evidence that exercise training positively affects on improvement of the pathogenic factors in women with PCOS. On the other hand, some stu
Externí odkaz:
https://doaj.org/article/9905b25f32734b4ab770fc687bcf9719
Autor:
Sara, Halakoo, Fatemeh, Ehsani, Motahareh, Hosnian, Alireza, Kheirkhahan, Afshin, Samaei, Alireza, Emadi
Publikováno v:
Journal of Clinical Neuroscience. 107:68-76
Application of anodal trans-cranial direct current stimulation (a-tDCS) versus cathodal tDCS (c-tDCS) can influence the physiological results of tDCS intervention on postural control and balance in patients or healthy adults. According to the evidenc
Publikováno v:
Euro-Par 2021: Parallel Processing Workshops ISBN: 9783031061554
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c4ccf6681b7f7016324c5fba7bbee3c
https://doi.org/10.1007/978-3-031-06156-1_36
https://doi.org/10.1007/978-3-031-06156-1_36
Autor:
Felix W. Baumann, Nikunj Gupta, Bibek Wagle, Nanmiao Wu, Patrick Diehl, Steve Brandt, Hartmut Kaiser, Alireza Kheirkhahan
Publikováno v:
ESPM2@SC
Arm® technology is becoming increasingly important in HPC. Recently, Fugaku, an Arm®-based system, was awarded the number one place in the Top500 list. Raspberry Pis provide an inexpensive platform to become familiar with this architecture. However
Autor:
Nikunj Gupta, John Biddiscombe, Hartmut Kaiser, Tianyi Zhang, Agustín Bergé, Kevin Huck, Patrick Diehl, Bibek Wagle, Shahrzad Shirzad, Adrian S. Lemoine, Thomas Heller, Zahra Khatami, Parsa Amini, Mikael Simberg, Bryce Adelstein Lelbach, Alireza Kheirkhahan, Steven R. Brandt, Weile Wei, Auriane Reverdell
Publikováno v:
Journal of Open Source Software. 5:2352
Autor:
Katy Williams, Kevin Huck, Adrian Serio, Katherine E. Isaacs, Parsa Amini, Patrick Diehl, Alireza Kheirkhahan, R. Tohid, Steven R. Brandt, Hartmut Kaiser, Bibek Wagle, Shahrzad Shirzad
Publikováno v:
ESPM2@SC
Despite advancements in the areas of parallel and distributed computing, the complexity of programming on High Performance Computing (HPC) resources has deterred many domain experts, especially in the areas of machine learning and artificial intellig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::912a202997cf7cd42eadc2a5d8693fa9