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Nuriah Abd Majid

Researcher at National University of Malaysia

Publications -  23
Citations -  185

Nuriah Abd Majid is an academic researcher from National University of Malaysia. The author has contributed to research in topics: Landslide & Geology. The author has an hindex of 3, co-authored 10 publications receiving 36 citations.

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Natural-Fiber-Reinforced Chitosan, Chitosan Blends and Their Nanocomposites for Various Advanced Applications

TL;DR: The use of green composites from natural fiber, particularly with regard to the development and characterization of chitosan, natural-fiber-reinforced CHITOSAN biopolymer, chitOSan blends, and CHITosan nanocomposites, was highlighted in this paper .
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Distribution and Spatial Pattern Analysis on Dengue Cases in Seremban District, Negeri Sembilan, Malaysia

TL;DR: This study found that the distribution pattern for dengue cases is clustered, and more sets of cases throughout years are required in further studies to identify factors that contribute to d Dengue epidemiology in the Seremban district undergoing urbanization.
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GIS-Based Livelihood Vulnerability Index Mapping of the Socioeconomy of the Pekan Community

TL;DR: In this article, a field survey was conducted to assess the Livelihood Vulnerability Index (LVI), comprising major and sub-components of vulnerability for ten sub-districts in Pekan, Malaysia.
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Geography Education for Promoting Sustainability in Indonesia

TL;DR: In this paper, the authors examined and investigated articles about geography learning and sustainability in Indonesia from 2010 to 2020, by using keywords related to geography education and found that the topics related to sustainability elements contained in the articles on geography education in Indonesia includes their learning components.
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Landslide Susceptibility Model Using Artificial Neural Network (ANN) Approach in Langat River Basin, Selangor, Malaysia

TL;DR: In this paper , an Artificial Neural Network (ANN) was used to produce a landslide susceptibility map for the Langat River Basin in Selangor, Malaysia, using an inventory map containing a total of 140 landslide locations which were randomly separated into training and testing with ratio 70:30.