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Muhammad Irfan

Researcher at Najran University

Publications -  928
Citations -  10675

Muhammad Irfan is an academic researcher from Najran University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 36, co-authored 646 publications receiving 6333 citations. Previous affiliations of Muhammad Irfan include Pakistan Council of Scientific and Industrial Research & American University of Sharjah.

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Verfahren zur Absorption von sauren Gasen aus Gasmischungen

Matthias Seiler, +8 more
TL;DR: In this article, CO2 wird aus einer Gasmischung absorbiert durch in Kontakt bringen der Gasmichung with einem Absorptionsmedium, das zumindest Wasser als Losemittel und mindestens ein Amin der Formel (I)aufweist, worin R 1 ein aliphatischer Rest with 2 bis 6 Kohlenstoffatomen and mindesten einer Aminogruppe ist and R 2 Wasserstoff, ein
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Pharmacological actions of Dieckol on modulation of platelet functions and thrombus formation via integrin αIIbβ3 and cAMP signaling

Muhammad Irfan, +3 more
- 01 Jan 2022 - 
TL;DR: Dieckol is a phlorotannin that can be found in seaweeds, particularly in Eisenia bicyclis (brown algae) and is known to have anti-oxidant, anti-inflammatory, and anti-microbial properties as discussed by the authors .
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Forecasting micro area broadband demand using urban land use planning tools in Karachi, Pakistan: a GIS perspective

Asif Gul, +4 more
- 30 Sep 2021 - 
TL;DR: This study aims to spatially forecast the broadband demand at neighborhood level in urbanized areas using GIS techniques to deal with heterogeneous spatio-temporal demand patterns and support decision-makers in taking strategic decisions regarding network planning and business operations.
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Characterization of the promoter region of the glycerol-3-phosphate-O-acyltransferase gene in Lilium pensylvanicum

Lijing Chen, +8 more
- 14 Jun 2017 - 
TL;DR: The results show that the GPAT gene promoter is a key regulator under cold stress and it is thought that this study will have significant impact on lily molecular breeding and improving the resistance of plants.
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False Data Injection Detection for Phasor Measurement Units

Saleh Almasabi, +6 more
- 20 Apr 2022 - 
TL;DR: In the proposed approach, moving averages and correlation are used along with machine learning algorithms to detect FDIs for phasor measurement units where compromising one unit is sufficient for launching such attacks.