Publications by authors named "Chee Meng Tan"

Working from home (WFH) has had both positive and negative impacts on the work conduct. To maximise the benefits of homeworking, previous literature mainly focuses on creating self-help strategies for homeworkers to reduce work stress and maintain work engagement. However, fewer studies take on the policymaker perspective and evaluate optimal working conditions in the homeworking context.

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Previous research has demonstrated that becoming vaccinated with the Coronavirus vaccine may lower mental distress. However, it remains uncertain whether this relationship holds amid concerns of vaccine side effects and doubts of the vaccine's protective capabilities. We presented three studies that showed how vaccine confidence negatively influences the relationship between vaccine uptake and mental distress.

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Scientific evidence suggests that individuals vaccinated with COVID-19 vaccines are less likely to require hospitalization, possibly lowering the burden on the healthcare system. Despite such benefits, substantial segments of the world's population remain skeptical of COVID-19 vaccines and are hesitant to take them. Even if such individuals have been inoculated with COVID-19 vaccines out of economic, social, or legal necessity, they may be less inclined to receive booster shots or vaccinate their offspring when such options become available.

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An increasingly common component of studies in synthetic and systems biology is analysis of dynamics of gene expression at the single-cell level, a context that is heavily dependent on the use of time-lapse movies. Extracting quantitative data on the single-cell temporal dynamics from such movies remains a major challenge. Here, we describe novel methods for automating key steps in the analysis of single-cell, fluorescent images-segmentation and lineage reconstruction-to recognize and track individual cells over time.

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In the intracellular environment, signaling takes place in a nonideal environment that is spatially heterogeneous and that is noisy, with the noise arising from the low copy numbers of the signaling molecules involved. In this paper, we model intracellular signaling pathways as stochastic reaction-diffusion processes and adapt techniques commonly used by physicists to solve for the spatiotemporal evolution of the signaling pathways. We then apply it to study two problems of relevance to the modeling of intracellular signaling pathways.

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