A
Abeer Mazher
Researcher at Commonwealth Scientific and Industrial Research Organisation
Publications - 15
Citations - 180
Abeer Mazher is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Conditional dependence & Support vector machine. The author has an hindex of 6, co-authored 15 publications receiving 87 citations. Previous affiliations of Abeer Mazher include Peking University.
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Synthesis of silver nanoparticles using Fagonia cretica and their antimicrobial activities
Hina Zulfiqar,Ayesha Zafar,Muhammad Naveed Rasheed,Zeeshan Ali,Kinza Mehmood,Abeer Mazher,Murtaza Hasan,Nasir Mahmood +7 more
TL;DR: In this article, an efficient bioreducing agent from Fagonia cretica extract was used to synthesize silver nanoparticles (NPs) with the advantage of eco-friendliness over chemical and physical methods.
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Phytotoxic Evaluation of Phytosynthesized Silver Nanoparticles on Lettuce
Murtaza Hasan,Kinza Mehmood,Ghazala Mustafa,Ayesha Zafar,Tuba Tariq,Shahbaz Gul Hassan,Suraj Loomba,Muhammad Zia,Abeer Mazher,Nasir Mahmood,Xugang Shu +10 more
TL;DR: In this paper, Lactuca sativa L. (lettuce) seedlings were exposed hydroponically to different concentrations of silver ions and nanoparticles (Ag NPs) for 25 days to evaluate their impact on plant growth.
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Synthesis of Loureirin B-Loaded Nanoliposomes for Pharmacokinetics in Rat Plasma
Murtaza Hasan,Murtaza Hasan,Ayesha Zafar,Maryam Yousaf,Huma Gulzar,Kinza Mehmood,Shahbaz Gul Hassan,Aysha Saeed,Areeba Yousaf,Abeer Mazher,Dai Rongji,Nasir Mahmood +11 more
TL;DR: Designing such unique LB-loaded NLs composite not only improved the antiradiation characteristics of LB but also make it suitable for other biomedical applications like drug delivery by enhancing its solubility and dispersion.
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Visualization Framework for High-Dimensional Spatio-Temporal Hydrological Gridded Datasets using Machine-Learning Techniques
TL;DR: A generic workflow to project high-dimensional spatio-temporal data on a two-dimensional (2D) plane accurately and compare dimensionality reduction techniques (DRTs) in terms of resolution and computational efficiency to represent 2D projection spatially using a 2D perceptually uniform background color map is presented.
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Willingness to Pay for Improved Water Services in Mining Regions of Developing Economies: Case Study of a Coal Mining Project in Thar Coalfield, Pakistan
TL;DR: In this paper, the authors examined the household willingness to pay (WTP) for all major uses based on hypothetical policy scenarios and found that the mean WTP was estimated to be PKR 3921 (USD 38) for risk averting services and PKR 4927 (USD 48.13) for domestic pipelines and more decentralized water systems per month.