CROWD FLOW FORECASTING VIA AGENT-BASED SIMULATIONS WITH SEQUENTIAL LATENT PARAMETER ESTIMATION FROM AGGREGATE OBSERVATION

Crowd flow forecasting via agent-based simulations with sequential latent parameter estimation from aggregate observation

Abstract Unlike conventional crowd simulations for what-if analysis, agent-based crowd simulations for real-time applications are an emerging research topic and an important tool for better crowd managements in smart cities.Recent studies have attempted to incorporate the real-time crowd observations into crowd simulations for real-time crowd forec

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CRISPR-Based Multi-Gene Integration Strategies to Create Saccharomyces cerevisiae Strains for Consolidated Bioprocessing

Significant engineering of Saccharomyces cerevisiae is required to enable consolidated bioprocessing (CBP) of lignocellulose to ethanol.Genome modification in S.cerevisiae has been successful partly due to its efficient homology-directed DNA repair machinery, and CRISPR technology has made multi-gene editing even more accessible.Here, we tested the

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High Levels of ROS Impair Lysosomal Acidity and Autophagy Flux in Glucose-Deprived Fibroblasts by Activating ATM and Erk Pathways

Under glucose deprivation, cells heavily mobilize oxidative phosphorylation to maintain energy homeostasis.This leads to the generation of high levels of ATP, as well as reactive oxygen species (ROS), from mitochondria.In nutrient starvation, autophagy is activated, likely to facilitate resource recycling, but recent studies suggest that autophagy

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