M
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.
Papers
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The Effectiveness of Children’s Learning Time in Online Learning System During the Covid 19 Pandemic in Kindergartens
TL;DR: In this paper, a qualitative exploratory research with an inductive approach using social situations involving three elements, namely: place, actor and activity, was conducted to determine the effectiveness of children's learning time when the role of the teacher is taken over by the parents as a controller of children learning at home.
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Two new species of Araneus Clerck, 1757 (Araneae, Araneidae) and first description of A. wulongensis male from China.
TL;DR: Two new species of Araneus Clerck, 1757 are described: A. conexussp.
Incidence of Hepatitis B among Malarial Patients in Islamabad
Fariha Dilshad,Muhammad Irfan,Mazhar Qayyum,Asghar Shabbir,Asfa Ashraf,Azara Iqbal,Muhammad Naeem Iqbal,Ali Muhammad +7 more
TL;DR: Prevalence of hepatitis B among malarial patients in Islamabad was studied by HBsAg assay and expected reason of higher infection rate in this age group 46-60 years is the weakness of immune system to fight the environmental as well as pathogenic conditions.
Journal Article
Molecular diagnostics for foodborne pathogen (Salmonella spp.) from poultry
TL;DR: A robust, simple and convenient PCR based method has been developed for the detection of one of the major food-borne pathogen Salmonella typhimurium in poultry by using molecular approaches.
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Conversion of wheat straw into fermentable sugars using carboxymethyl cellulase from trichoderma viride through box-behnken design and artificial neural network
TL;DR: In this article, a carboxymethyl cellulase was produced in submerged fermentation characterized and saccharification was optimized through Box-Behnken design through Artificial Neural Network (ANN).