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Quantitative and spatial-explicit flood risk information is of great importance for strengthening climate change adaptation and flood resilience. Shanghai is a coastal megacity at large estuary delta with rising flood risks. This study aims to quantify the overall economic-societal risks of storm flooding and their spatial patterns in Shanghai.

Based on multiple storm flood scenarios at different return periods, as well as fine-scale data sets including gridded GDP, gridded population and vector land-use, a probabilistic risk model incorporating geographic information system is used to assess the economic-societal risks of flooding and their spatial distributions.

Our results show that, from 1/200 to 1/5,000-year floods, the exposed assets will increase from USD 85.4bn to USD 657.6bn, and the direct economic losses will increase from USD 3.06bn to USD 52bn. The expected annual damage (EAD) of assets is around USD 84.36m. Hotpots of EAD are mainly distributed in the city center, the depressions along the upper Huangpu River in the southwest, the north coast of Hangzhou Bay, and the confluence of the Huangpu River and Yangtze River in the northeast. From 1/200 to 1/5,000-year floods, the exposed population will rise from 280 thousand to 2,420 thousand, and the estimated casualties will rise from 299 to 1,045. The expected annual casualties (EAC) are around 2.28. Hotspots of casualties are generally consistent with those of EAD.

In contrast to previous studies that focus on a single flood scenario or a particular type of flood exposure/risk in Shanghai, the findings contribute to an understanding of overall flood risks and their spatial patterns, which have significant implications for cost-benefit analysis of flood resilience strategies.

Using a qualitative approach, this cross-disciplinary study integrating modern slavery, tourism and marketing expertise outlines Chinese outbound tourists' perceptions of and reactions to issues related to child sex tourism.

In total, 27 in-depth interviews were conducted, and data were analysed. Manual coding was chosen as an efficient method to process qualitative interview data given the relatively small sample size in this study.

Three main themes emerged from analysis: (1) tourists' negative perceptions of child sex tourism; (2) tourist boycotts against child sex tourism destinations and activities as reactions to this socially deviant and illegal phenomenon and (3) tourist advocacy to enhance public awareness of child sex tourism. These themes suggest that tourists, as key tourism stakeholders, have difficulty accepting that child sex tourism occurs and would like to identify solutions to end illegal activities. Tourist boycotts would positively affect sustainable tourism development by eliminating illegal businesses, including those involving child prostitution, from the tourism industry. The qualitative method is applied here to develop a conceptual framework explaining tourists' perceptions of and reactions to child sex tourism.

A conceptual framework of Chinese individuals' perceptions of and reactions to child sex tourism has been devised using a qualitative approach. Although this framework takes child sex tourism as its focus, it can also be applied to better understand tourists' perspectives of other socially deviant or illegal behaviours within the tourism industry. The findings of this study provide valuable implications for various tourism stakeholders.

The current study makes significant theoretical and practical contributions to an under-researched topic – child sex tourism. A conceptual framework of Chinese individuals' perceptions of and reactions to child sex tourism has been devised using a qualitative approach. Findings from this study may inspire campaigns to protect children from being drawn into sex tourism. Efforts should also be undertaken to rescue children who have already been victimised by illegal businesses.

Express freight transportation is in rapid development currently. Owing to the higher speed of express freight train, the deformation of the bridge deck worsens the railway line condition under the action of wind and train moving load when the train runs over a long-span bridge. Besides, the blunt car body of vehicle has poor aerodynamic characteristics, bringing a greater challenge on the running stability in the crosswind.

In this study, the aerodynamic force coefficients of express freight vehicles on the bridge are measured by scale model wind tunnel test. The dynamic model of the train-long-span steel truss bridge coupling system is established, and the dynamic response as well as the running safety of vehicle are evaluated.

The results show that wind speed has a significant influence on running safety, which is mainly reflected in the over-limitation of wheel unloading rate. The wind speed limit decreases with train speed, and it reduces to 18.83 m/s when the train speed is 160 km/h.

This study deepens the theoretical understanding of the interaction between vehicles and bridges and proposes new methods for analyzing similar engineering problems. It also provides a new theoretical basis for the safety assessment of express freight trains.

A high-fidelity simulation platform helps to verify the feasibility of the controller and reduce the cost of subsequent experiments. Therefore, this paper aims to design a high-fidelity hardware-in-the-loop (HIL) simulation platform for the tail-sitter vehicles.

The component breakdown approach is used to develop a more reliable model. Thruster dynamics and ground contact force are also modeled. Accurate aerodynamic coefficients are obtained through wind tunnel tests. This simulation system adopts a mode transition method to achieve continuous simulation for all flight modes.

Simulation results are in good agreement with the flight log and successfully predict the state of the vehicle.

First, the effects of the propeller slipstream are considered. Second, most researchers ignore the parasitic drag caused by the landing gear and other appendages, which is discussed in this study. Third, a ground contact model is implemented to allow a realistic simulation of the takeoff and landing phases. Fourth, complete wind tunnel tests are conducted to obtain more accurate aerodynamic coefficients. Finally, a mode transition method is deployed in the HIL simulation system to achieve continuous simulation for all flight modes.

A maturity model for Industry 4.0 (I4.0 MM) with influencing factors is designed to address maturity issues in adopting Industry 4.0. Standardisation in I4.0 supports manufacturing industry transformation, forming reference architecture models (RAMs). This paper aligns key factors and maturity levels in I4.0 MMs with reputable I4.0 RAMs to enhance strategy for I4.0 transformation and implementation.

Three steps of alignment consist of the systematic literature review (SLR) method to study the current published high-quality I4.0 MMs, the taxonomy development of I4.0 influencing factors by adapting and implementing the categorisation of system theories and aligning I4.0 MMs with RAMs.

The study discovered that different I4.0 MMs lead to varied organisational interpretations. Challenges and insights arise when aligning I4.0 MMs with RAMs. Aligning MM levels with RAM stages is a crucial milestone in the journey toward I4.0 transformation. Evidence indicates that I4.0 MMs and RAMs often overlook the cultural domain.

Findings contribute to the literature on aligning capabilities with implementation strategies while employing I4.0 MMs and RAMs. We use five RAMs (RAMI4.0, NIST-SME, IMSA, IVRA and IIRA), and as a common limitation in SLR, there could be a subjective bias in reading and selecting literature.

To fully leverage the capabilities of RAMs as part of the I4.0 implementation strategy, companies should initiate the process by undertaking a thorough needs assessment using I4.0 MMs.

The novelty of this paper lies in being the first to examine the alignment of I4.0 MMs with established RAMs. It offers valuable insights for improving I4.0 implementation strategies, especially for companies using both MMs and RAMs in their transformation efforts.

This study aims to expand the reliability and special functions of lightweight materials for high-end equipment and green manufacturing, so that it is the first such research to carry out nano-composite technology of nickel-coated carbon nanotubes (Ni-CNTs)-based titanium-zirconium chemical conversion on aluminum alloy substrate.

Corrosion behavior of various coatings was investigated using dropping corrosion test, linear polarization and electrochemical impedance spectroscopy. The results showed that the corrosion resistance of the nano-composite conversion coatings was significantly improved to compare with the conventional titanium-zirconium conversion coating. The morphology and microdomain characteristics of the nano-composite conversion coatings were characterized by SEM/eds/EPMA, which indicated that the CNT or Ni-CNTs addition promoting the integrity coverage of coatings in a short time.

Surface morphology of titanium-zirconium (Ti-Zr)/Ni-CNT specimens exhibited smooth, compact and little pores. The nano-composite conversion coatings are mainly composed of Al, O, C and Ti elements and contain a small amount of F and Zr elements, which illuminated that CNT or Ni-CNT addition could co-deposit with aluminum and titanium metal oxides.

The study of corrosion resistance of nano-composite conversion coatings and the micro-zone film-formation characteristics would be provided theoretical support for the development of basic research on surface treatment of aluminum alloys.

The purpose of this paper is to focus on the design of automated fabric defect detection based on cascaded low-rank decomposition and to maintain high quality control in textile manufacturing.

This paper proposed a fabric defect detection algorithm based on cascaded low-rank decomposition. First, the constructed Gabor feature matrix is divided into a low-rank matrix and sparse matrix using low-rank decomposition technique, and the sparse matrix is used as priori matrix where higher values indicate a higher probability of abnormality. Second, we conducted the second low-rank decomposition for the constructed texton feature matrix under the guidance of the priori matrix. Finally, an improved adaptive threshold segmentation algorithm was adopted to segment the saliency map generated by the final sparse matrix to locate the defect regions.

The proposed method was evaluated on the public fabric image databases. By comparing with the ground-truth, the average detection rate of 98.26% was obtained and is superior to the state-of-the-art.

The cascaded low-rank decomposition was first proposed and applied into the fabric defect detection. The quantitative value shows the effectiveness of the detection method. Hence, the proposed method can be used for accurate defect detection and automated analysis system.

This paper aims to propose a “Four-F (finding facts, fostering alternates, fulfilling implementation and feasibility testing)” action plan to global food service businesses (FSB) such as restaurants (dine-in/take away) to build resilience during times of global crises. The 2019 Coronavirus disease and FSBs apply as working examples elaborating the proposed Four-F action plan with several managerial implications for the internal and external stakeholders of FSBs.

The method involves reviewing and coding 108 articles using the PRISMA approach, then applying findings to develop the Four-F action plan integrating multiple theoretical concepts (such as stakeholder, crisis management and dynamic capabilities).

There are two key findings. First, though all four crisis phases should be considered by decision-makers as part of their contingency planning process, the pre and post-crisis stages need higher attention. Second, the Four-F action plan provides specific recommendations to FSBs stakeholders (consumers, suppliers and government) for each crisis phase (pre-crisis, crisis emergence, crisis occurrence and post-crisis).

To the best of the authors’ knowledge, this is the first paper that has incorporated multiple theoretical frameworks (stakeholder theory, crisis management and dynamic capabilities) within the FSBs context and provided the Four-F action plan for decision-makers to understand and manage crisis phases.

This paper presents our development of a novel Internet‐based E‐manufacturing system to advance applications in micromanipulation and microassembly using an in situ polyvinylidene fluoride (PVDF) piezoelectric sensor. In this system, to allow close monitoring of magnitude and direction of microforces (adhesion, surface tension, friction, and assembly forces) acting on microdevices during assembly, the PVDF polymer films are used to fabricate the highly sensitive 1D and 2D sensors, which can detect the real‐time microforce and force rate information during assembly processes. This technology has been successfully used to perform a tele‐assembly of the surface MEMS structures with force/visual feedback via Internet between USA and Hong Kong. Ultimately, this E‐manufacture system will provide a critical and major step towards the development of automated micromanufacturing processes for batch assembly of microdevices.

This paper presents our development of a novel force and force rate sensory system to advance applications in micromanipulation using an in situ polyvinylidene fluoride (PVDF) piezoelectric sensor. To allow close monitoring of magnitude and direction of microforces acting on microdevices during manipulation, PVDF ploymer films are used to fabricate highly sensitive 1D and 2D sensors to detect real‐time microforce and force rate information during the manipulation process. The sensory system with a resolution in the range of sub‐micronewtons can be applied effectively to develop a technology on the force‐reflection microassembly of surface MEMS structures. In addition, a tele‐micromanipulation platform, which can be used to perform tele‐microassembly of the MEMS structures and tele‐cell‐manipulation with force/haptic feedback via Internet was also built successfully.