Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Mariam Al Nuaimi"'
Autor:
Ananya Srivastava, Godfred A. Menezes, Jewel Mary Kenneth, Jennifer John, Sahina Saif, Taniqsha Bambani, Zyna Ayesha Fayaz, Carol Avil Mathias, Mohamedanas Mohamedfaruk Patni, Shukri Adam, Tarig Hakim, Mariam Al Nuaimi, Muna Obaid Alayyan
Publikováno v:
Journal of Pure and Applied Microbiology, Vol 18, Iss 1, Pp 672-681 (2024)
Given the magnitude of the COVID-19 pandemic, adverse psychological outcomes are expected to occur among healthcare personnel (HCPs). However, little is known about these outcomes within Ras al Khaimah, UAE. This study aims to assess the psychologica
Externí odkaz:
https://doaj.org/article/2b6f15520b8149cbb413a92699821d0e
Autor:
Suja George, Mohammed Rafi, Maitha Aldarmaki, Mohamed ElSiddig, Mariam Al Nuaimi, Naganeeswaran Sudalaimuthuasari, Vishnu Sukumari Nath, Ajay Kumar Mishra, Khaled Michel Hazzouri, Iltaf Shah, Khaled M. A. Amiri
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Efficient regeneration of transgenic plants from explants after transformation is one of the crucial steps in developing genetically modified plants with desirable traits. Identification of novel plant growth regulators and developmental regulators w
Externí odkaz:
https://doaj.org/article/1f3d9b586b35424f90835d6d0c614ddb
Autor:
Suja George, Mohammed Rafi, Maitha Aldarmaki, Mohamed ElSiddig, Mariam Al Nuaimi, Khaled M. A. Amiri
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
In the past 2 decades, small non-coding RNAs derived from tRNA (tsRNAs or tRNA derived fragments; tRFs) have emerged as new powerful players in the field of small RNA mediated regulation of gene expression, translation, and epigenetic control. tRFs h
Externí odkaz:
https://doaj.org/article/687f983f2f8f4f73aeb04d60f8976673
Autor:
Naganeeswaran Sudalaimuthuasari, Rashid Ali, Martin Kottackal, Mohammed Rafi, Mariam Al Nuaimi, Biduth Kundu, Raja Saeed Al-Maskari, Xuewen Wang, Ajay Kumar Mishra, Jithin Balan, Srinivasa R. Chaluvadi, Fatima Al Ansari, Jeffrey L. Bennetzen, Michael D. Purugganan, Khaled M. Hazzouri, Khaled M. A. Amiri
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 15, p 8503 (2022)
The mimosoid legumes are a clade of ~40 genera in the Caesalpinioideae subfamily of the Fabaceae that grow in tropical and subtropical regions. Unlike the better studied Papilionoideae, there are few genomic resources within this legume group. The tr
Externí odkaz:
https://doaj.org/article/47a959e9acfa410880d0b72e8a775477
Publikováno v:
The Scientific World Journal, Vol 2015 (2015)
We present a novel approach to solve the cloud storage issues and provide a fast load balancing algorithm. Our approach is based on partitioning and concurrent dual direction download of the files from multiple cloud nodes. Partitions of the files ar
Externí odkaz:
https://doaj.org/article/8367409c8b444a2cbf4ce66ecac7b8cd
Publikováno v:
CLOUD
DaaS (Data-as-a-Service) is an important model of the cloud. As DaaS provides clients with the ability to view and download data from cloud providers, the service must ensure speed, reliability, and cost effectiveness. An important research question
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e6fb12ac6ea4f6ca0cce1e451e05187
https://doi.org/10.1109/cloud.2015.149
https://doi.org/10.1109/cloud.2015.149
Publikováno v:
WETICE
In this paper we propose an automated partial replication storage technique for the cloud, which we call ssCloud. We associate this technique with a dual direction load balancing technique using the cloud servers. We show that by having dual directio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1285f13ac0e7d9c8aa436387af89af6b
https://doi.org/10.1109/wetice.2015.23
https://doi.org/10.1109/wetice.2015.23
Publikováno v:
The Scientific World Journal
The Scientific World Journal, Vol 2015 (2015)
The Scientific World Journal, Vol 2015 (2015)
We present a novel approach to solve the cloud storage issues and provide a fast load balancing algorithm. Our approach is based on partitioning and concurrent dual direction download of the files from multiple cloud nodes. Partitions of the files ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e4aa7d4cf1f08a453886517fbd05e31
https://pubmed.ncbi.nlm.nih.gov/25973444
https://pubmed.ncbi.nlm.nih.gov/25973444
Publikováno v:
International Journal of Grid and Utility Computing. 8:109
This paper is an extension to a recent work on enhancing load balancing and optimising storage consumption on the cloud. Our methodology, called ssCloud (Smart Storage Cloud), is based on methods designed to enhance the load balancing in concurrent f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b93f2d6f1901f0d24a96b878ea9ab7a
https://doi.org/10.1504/ijguc.2017.085912
https://doi.org/10.1504/ijguc.2017.085912
Publikováno v:
CLOUDNET
In this paper, we present a novel approach to solve the cloud storage issues and provide a fast load balancing algorithm. Our approach is based on partitioning and dual direction download of the files by multiple cloud nodes. Partitions of the files
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db4457de0fc0da216556f17a37b10f1b
https://doi.org/10.1109/cloudnet.2014.6969033
https://doi.org/10.1109/cloudnet.2014.6969033