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Cen Song

Researcher at China University of Petroleum

Publications -  14
Citations -  160

Cen Song is an academic researcher from China University of Petroleum. The author has contributed to research in topics: Food safety & Medicine. The author has an hindex of 7, co-authored 9 publications receiving 86 citations. Previous affiliations of Cen Song include University at Buffalo.

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Modeling a Government-Manufacturer-Farmer game for food supply chain risk management

TL;DR: In this article, the authors studied the strategic interactions among the regulating government, manufacturers, and farmers with endogenous customer demand, and provided some novel policy insights for food supply chain risk management.
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Analyzing passengers’ emotions following flight delays- a 2011–2019 case study on SKYTRAX comments

TL;DR: There is a significant and negative correlation between the user's emotions and their flight delay experiences, and some new light on public opinion about flight delays is shed.
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Two-stage security screening strategies in the face of strategic applicants, congestions and screening errors

TL;DR: This paper analyzes the optimal screening policies in an imperfect two-stage screening system with potential screening errors at each stage, balancing security and congestion in the face of strategic normal and adversary applicants and provides some novel policy insights which may be useful for security screening practices.
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An Analysis of Public Opinions Regarding Take-Away Food Safety: A 2015–2018 Case Study on Sina Weibo

TL;DR: Using latent Dirichlet allocation (LDA) and k-means to extract and cluster topics from the posts, allowing for the users’ emotions and related opinions to be mined and analyzed, generates insights for government and industry stakeholders to promote the healthy and vigorous development of the food industry.
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N-stage security screening strategies in the face of strategic applicants

TL;DR: Game theory and queueing theory are integrated to analyze an N-stage imperfect screening model that considers reject or pass decisions, in which applicants have the chance to be passed or rejected at each stage of the system.