Publications by authors named "Muhamad Azfar Ramli"
Article Synopsis
- Quantifying disruptions on rapid transit resilience is essential for effective transport planning.
- A composite resilience score is proposed, based on four indicators and a weighted network model that considers station structures, line capacities, and travel demand.
- Analysis of Singapore's rapid transit system shows how our method assesses future line impacts and identifies resilience tipping points under varying demand, indicating that demand redistribution can unintentionally harm resilience.
Recent months have seen ever-increasing levels of confirmed COVID-19 cases despite the accelerated adoption of vaccines. In the wake of the pandemic, travel patterns of individuals change as well. Understanding the changes in biking behaviors during evolving COVID-19 situations is a primary goal of this paper.
View Article and Find Full Text PDFHuman gene regulatory networks (GRN) can be difficult to interpret due to a tangle of edges interconnecting thousands of genes. We constructed a general human GRN from extensive transcription factor and microRNA target data obtained from public databases. In a subnetwork of this GRN that is active during estrogen stimulation of MCF-7 breast cancer cells, we benchmarked automated algorithms for identifying core regulatory genes (transcription factors and microRNAs).
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