Visual Framing: The Use of COVID-19 in the Mobilization of Hong Kong Protest

This study focuses on the Hong Kong Lennon Walls and the communications posted there. We assert that the physical placement of COVID-19 related images on the Lennon Walls of Hong Kong and the replication of symbols and iconography from the Umbrella Movement and the Anti-ELAB Movement situated COVID-19 discourse not only physically within but also symbolically within the contentious politics of Hong Kong. We conclude that the messages and images posted on Lennon Walls between January and April 2020 have used COVID-19 to extend public expression of sentiment on the debates around the Hong Kong government and to further mobilize a sense of Hong Kong identity against China. The findings contribute to the understandings of how the cultural politics surrounding the pandemic became a collective action frame in the mobilization of a localized Hong Kong political identity against the Hong Kong and Chinese governments. Copyright © 2022 The Author(s).

A Multi-Service Composition Model for Tasks in Cloud Manufacturing Based on VS-ABC Algorithm

This study analyzes the impact of Industry 4.0 and SARS-CoV-2 on the manufacturing industry, in which manufacturing entities are faced with insufficient resources and uncertain services;however, the current study does not fit this situation well. A multi-service composition for complex manufacturing tasks in a cloud manufacturing environment is proposed to improve the utilization of manufacturing service resources. Combining execution time, cost, energy consumption, service reliability and availability, a quality of service (QoS) model is constructed as the evaluation standard. A hybrid search algorithm (VS-ABC algorithm) based on the vortex search algorithm (VS) and the artificial bee colony algorithm (ABC) is introduced and combines the advantages of the two algorithms in search range and calculation speed. We take the customization production of automobiles as an example, and the case study shows that the VS-ABC algorithm has better applicability compared with traditional vortex search and artificial bee colony algorithms.

Order Assignment and Scheduling for Personal Protective Equipment Production During the Outbreak of Epidemics

This paper investigates a new multi-objective order assignment and scheduling problem for personal protective equipment (PPE) production and distribution during the outbreak of epidemics like COVID-19. The objective is to simultaneously minimize the total cost and maximize the PPE supply timeliness. For the problem, we first develop a bi-objective mixed-integer linear program (MILP). Then an epsilon-constraint combined with logic-based Benders decomposition method is proposed based on some explored properties. We then extend the proposed model to handle dynamics and randomness. In particular, we design a predictive reactive rescheduling approach to address random order arrivals and manufacturer disruptions. Computational experiments on a real case from China and 100 randomly generated instances are conducted. Results show that the proposed algorithm significantly outperforms an adapted epsilon-constraint method combined with the proposed MILP and the widely used non-dominated sorting genetic algorithm II (NSGA-II) in obtaining high-quality Pareto solutions. Note to Practitioners-The unprecedented outbreak of COVID-19 and its rapid spread caught numerous national and local governments unprepared. Healthcare systems faced a vital scarcity of PPEs. The urgency of producing and delivering PPEs increases as the number of infected cases rapidly increases. A key challenge in response to the epidemic is effectively and efficiently matching the demands and needs. Performing practical and efficient order assignment and scheduling for PPE production during the COVID-19 outbreak is critical to curbing the COVID-19 pandemic. This work first proposes a bi-objective mixed-integer linear program for optimal order assignment and scheduling for PPE production. The aim is to achieve an economical and timely PPE production and supply. A novel method that combines the epsilon-constraint framework and the logic-based Benders decomposition is proposed to yield high-quality Pareto solutions for practical-sized problems. Computational results indicate that the proposed approaches are practical and feasible, which can help decision-makers to perform acceptable order assignment and scheduling decisions.

Accounting for "the social" in contact tracing applications: The paradox between public health governance and mistrust of government's data use

This essay adopts three accounts (sociological, neoliberal, and cybernetic) of "the social" to get a clearer picture of why there is a barrier faced by the government when implementing contact tracing mobile applications. In Hong Kong's context, the paradox involves declining trust of the government's protection of data privacy and growing concern about data surveillance since the 2019 social unrest I argue that exploring the idea of sociality is valuable in that it re-reconfigures the datafication of pandemic control by revealing different sets of social relations, particularly the asymmetrical power relation between the government and its people. The refusal to download or use the mobile app also shows that the public has a faith in human agency and human resistance in data-saturated cities.