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Akademický článek

An Explorative Review on Advanced Approaches to Overcome Bacterial Resistance by Curbing Bacterial Biofilm Formation

Autor: Mohamad F, Alzahrani RR, Alsaadi A, Alrfaei BM, Yassin AEB, Alkhulaifi MM, Halwani M

Publikováno v: Infection and Drug Resistance, Vol Volume 16, Pp 19-49 (2023)

F Mohamad,1,* Raghad R Alzahrani,2,3,* Ahlam Alsaadi,1 Bahauddeen M Alrfaei,4 Alaa Eldeen B Yassin,5 Manal M Alkhulaifi,3 Majed Halwani2 1Infectious Diseases Research Department, King Abdullah International Medical Research Center, King Saud bin Abdu

Externí odkaz: https://doaj.org/article/d930683a768f4506b22fd99771e8f4b4

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Akademický článek

Optimal dissolution and viscoelastic behavior of polyamide-66 in formic acid for membrane fabrication

Autor: Ali Abulhassan, Maqsood Khuram, Abdulrahman Aymn, Alsaadi Ahmad S., Mahfouz Abdullah Bin

Publikováno v: Chemical Industry and Chemical Engineering Quarterly, Vol 28, Iss 3, Pp 203-209 (2022)

High-performance polymeric membrane technology is rapidly developing worldwide with the introduction of new materials and processes. Considerable research efforts are being made to establish a polymer membrane that can be used for ultrafiltration (UF

Externí odkaz: https://doaj.org/article/ad53d186c3e7451fa10db4806a03e578

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Exascale Workflow Applications and Middleware: An ExaWorks Retrospective

Autor: Alsaadi, Aymen, Hategan-Marandiuc, Mihael, Maheshwari, Ketan, Merzky, Andre, Titov, Mikhail, Turilli, Matteo, Wilke, Andreas, Wozniak, Justin M., Chard, Kyle, da Silva, Rafael Ferreira, Jha, Shantenu, Laney, Daniel

Exascale computers offer transformative capabilities to combine data-driven and learning-based approaches with traditional simulation applications to accelerate scientific discovery and insight. However, these software combinations and integrations a

Externí odkaz: http://arxiv.org/abs/2411.10637

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ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies

Autor: Turilli, Matteo, Hategan-Marandiuc, Mihael, Titov, Mikhail, Maheshwari, Ketan, Alsaadi, Aymen, Merzky, Andre, Arambula, Ramon, Zakharchanka, Mikhail, Cowan, Matt, Wozniak, Justin M., Wilke, Andreas, Kilic, Ozgur Ozan, Chard, Kyle, da Silva, Rafael Ferreira, Jha, Shantenu, Laney, Daniel

Scientific discovery increasingly requires executing heterogeneous scientific workflows on high-performance computing (HPC) platforms. Heterogeneous workflows contain different types of tasks (e.g., simulation, analysis, and learning) that need to be

Externí odkaz: http://arxiv.org/abs/2407.16646

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Hydra: Brokering Cloud and HPC Resources to Support the Execution of Heterogeneous Workloads at Scale

Autor: Alsaadi, Aymen, Jha, Shantenu, Turilli, Matteo

Scientific discovery increasingly depends on middleware that enables the execution of heterogeneous workflows on heterogeneous platforms One of the main challenges is to design software components that integrate within the existing ecosystem to enabl

Externí odkaz: http://arxiv.org/abs/2407.11967

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Design and Implementation of an Analysis Pipeline for Heterogeneous Data

Autor: Sarker, Arup Kumar, Alsaadi, Aymen, Perera, Niranda, Staylor, Mills, von Laszewski, Gregor, Turilli, Matteo, Kilic, Ozgur Ozan, Titov, Mikhail, Merzky, Andre, Jha, Shantenu, Fox, Geoffrey

Managing and preparing complex data for deep learning, a prevalent approach in large-scale data science can be challenging. Data transfer for model training also presents difficulties, impacting scientific fields like genomics, climate modeling, and

Externí odkaz: http://arxiv.org/abs/2403.15721

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Akademický článek

Capital structure and earnings management: evidence from Saudi Arabia

Autor: Alsaadi, Abdullah

Publikováno v: International Journal of Islamic and Middle Eastern Finance and Management, 2024, Vol. 17, Issue 4, pp. 831-848.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/IMEFM-09-2023-0339

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