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Taking the COVID-19 as the background, this study aims to investigate the direct influencing factors regarding knowledge sharing behavior (KSB) on new media platforms and discuss how the characteristics of the users could enhance the KSB through moderation effect, and provide empirical evidences.

Based on the social exchange theory and after the text analysis of the data collected from the Tiktok platform in 2020, this paper uses the quantitative method to evaluate the factors influence KSB on short video social platform during the COVID-19 outbreak.

KSB on new media platform could be enhanced by richer knowledge content of the video posted and the attribute of the platform users directly. Platform users could affect the trustworthiness of the knowledge shared, thus influence the knowledge sharing. On the early stage of the COVID-19, the richer content of the knowledge released by users could effectively enhance the KSB. On the early stage of the emergency events, the official users could play a significant role on KS. During the mitigation stage of COVID-19, the KSB of the knowledge shared by unofficial users with richer content could be enhanced and the moderation effect is relatively stronger.

The research extends the social exchange theory to a disaster management context. The authors provide an effective reference for future governments to effectively cope with the epidemic and spread public knowledge in an emergency response context. By analyzing the influence of knowledge content and influencer characteristics, it could help the social media platform to improve content management and optimize resource allocation.

Lenders in online peer-to-peer (P2P) lending platforms are always non-experts and face severe information asymmetry. This paper aims to achieve the goals of gaining high returns with risk limitations or lowering risks with expected returns for P2P lenders.

This paper used data from a leading online P2P lending platform in America. First, the authors constructed a logistic regression-based credit scoring model and a linear regression-based profit scoring model to predict the default probabilities and profitability of loans. Second, based on the predictions of loan risk and loan return, the authors constructed linear programming model to form the optimal loan portfolio for lenders.

The research results show that compared to a logistic regression-based credit scoring method, the proposed new framework could make more returns for lenders with risks unchanged. Furthermore, compared to a linear regression-based profit scoring method, the proposed new framework could lower risks for lenders without lowering returns. In addition, comparisons with advanced machine learning techniques further validate its superiority.

Unlike previous studies that focus solely on predicting the default probability or profitability of loans, this study considers loan allocation in online P2P lending as an optimization research problem using a new framework based upon modern portfolio theory (MPT). This study may contribute theoretically to the extension of MPT in the specific context of online P2P lending and benefit lenders and platforms to develop more efficient investment tools.

This study is an inquiry into practical solutions in the field of emergent disaster rescue methods and prevention management, and it focuses on planning, real‐time rescue, and emergency management. This study is a conventional writing style. Thus, the purpose of this study is to offer methods for governor reducing disaster losses in terms of human life and livelihoods.

The government should establish permanent disaster recovery institutions, such as disaster recovery coordinators, resource distributors at the provincial or state level, and nodes in districts to manage supplies, rescue activities. During the preparation stage of disaster responses, government offices must prepare the rescue plans and policies for future disasters, as well as create the documents for establishing part‐time civilian and volunteer agreements.

Even though residents suffer tremendous losses in terms of human life, regional administrators are usually and poorly organized at the preparation stage.

Disaster rescue activities depend heavily on civilians and organizations. A disaster rescue manager plays a key role, because he or she has received training in and has become familiar with emergent rescue operations.

Disaster rescue management is a valuable topic because it is a globally significant challenge to safeguard people's lives. A complex disaster of earthquakes and tsunamis occurring can give rise to nuclear radiation damage, for example, that occurred in Japan on March 11, 2011, is an illustrative case.

The purpose of this paper is to propose a second relational grade based on the general grey relational grade and analyze several of its properties.

Grey system theory. The paper proposes and studies second grey relational grade, establishes second grey relational formula, and studies several characteristics of second grey relational formula.

Proposing a second relational grade proved it could solve the problem of the parallelism partly and weaken relativity of space position.

Until now, the problem of the consistency could not be solved, nor could the problem of the effect which keeps the sequence the same.

The precision of the grey forecasting model could be strengthened if used in the forecasting model.

The general relational grade only thinks over the relation between two sequences but does not involve the relation in one sequence. The second relational grade considers these two, so if the forecasting model is established with it, the model should be more exact.

The purpose of this study is to focus on numerical simulation investigations of deformation analysis of asymmetric break-down rolling of a hollow steel, which seriously affects the service life of the final product.

The 3D rigid-plastic thermo-mechanical coupled finite element method (FEM) for a large strain was used to analyze metal deformation in the deformation zone for asymmetric rolling with different roller diameters.

The distribution of stress, strain and dimension accuracy for different diameters was obtained. The results show that the additional shear strain which is different from the normal compression deformation is generated in an asymmetric rolling process. The higher the ratio between upper and lower diameters, the greater the additional shear deformation.

Asymmetric rolling is an important factor affecting the dimensional accuracy of the hollow steel. This study can provide a theoretical basis for developing a reasonable rolling process of the hollow steel.

This study aims to focus on numerical simulation investigations of phase transformation during cooling of 55SiMnMo steel, which is commonly applied to improve mechanical properties.

A mathematical model based on the finite element method (FEM) and the phase transformation kinetics model has been proposed to predict microstructure changes during continuous cooling of 55SiMnMo steel. This model can be employed to analyze the variation of austenite, special upper bainite and lump-like composite structure with cooling time at different cooling rates.

According to the continuous cooling experiments, when the cooling rate is lower than 0.1°C/s, the special upper bainite is the only transformation product which decreases with increasing cooling rate; when the cooling rate is above 0.5°C/s, the transformation products include special upper bainite and lump-like composite structure. Meanwhile, the results of continuous cooling experiment verified the correctness of this finite element model.

This model has a great value for proper controlling of the cooling process which can improve the quality of hollow drill steel and increase the service life of the final product.

China’s rapid economic growth has greatly changed its consumption pattern of agricultural food. Wealthy Chinese consumers demand food of superior quality. However, with the national grain security goal focused primarily on self-sufficiency, China has no choice but to keep increasing the scale of agricultural industrialization and modernization, which inevitably brings in unwanted chemical input that puts food safety at risk. China’s consumers started to adopt an alternative food supply method. This paper aims to examine how Chinese consumers use privatized ways (i.e. their own social capital) to select high-quality local agricultural products as a unique type of inverted quarantine.

This paper mainly used a qualitative research method, including participant observation and in-depth interviews as the main sources of data. For the fieldwork, two providers of high-quality food in Beijing were selected as the research sites. Data were collected by in-depth interviews with consumers and organizers of the two local food suppliers and participant observation of online and offline interactions between food providers and consumers.

Instead of seeing development of consumer citizenship, what is witnessed is consumers use their private resources or networks to deal with risks created by institutional failure. In this sense, it is a type of inverted quarantine, but is different from what Szasz described in his book. Instead of purchasing bottled water or organic food sold in the mainstream supermarkets, Chinese middle-class consumers rely more on their personal relations with food suppliers and start to adopt an alternative way of food supply.

Beijing consumers are among the most privileged, in terms of income level and access to alternative trusted sources of food. Therefore, the findings of this paper may not be applicable to other provincial cities in China. A comparative research on healthy food consumption patterns among major cities in China still require further attention. In addition, with the flourish of online shopping platforms, it is highly likely that the current shopping patterns among the affluent middle-class consumers will change accordingly.

This paper reveals the current uncertainty experienced by Chinese middle-class consumers and showed their concerns related to food safety. It may shed some lights on the current discussion about middle-class anxiety in Mainland China. It also developed a typology of inverted quarantine with empirical evidence, and therefore helps further develop the concept of inverted quarantine.

This paper aims to provide an overview of the development periods of home-based learning in Hong Kong during the COVID-19 pandemic, then discusses the differences in how the more affluent and well-educated middle-class parents and the economically and culturally disadvantaged working-class parents have dealt with the challenges of this new learning mode in their children’s education.

This research mainly adopted the qualitative research method, and used data from multiple sources, including online and offline participant observations, informal interviews and second-hand official reports.

The preliminary findings suggest that due to the closure of the formal schooling system, the impact of unequal family resources – such as tangible economic investment and intangible cultural and social support – on students’ academic performance has been exposed, thus reinforcing the pre-existing inequality between different social classes.

The findings of this paper are primarily based on preliminary observations and informal interviews, and it needs more systematic studies, both qualitative and quantitative, are needed to provide further empirical evidence to demonstrate the impacts of digital, housing and knowledge divide between the middle- and working-class families on students’ academic performance.

The paper presents new empirical data concerning the class mechanisms underlying home-based learning during the class suspension in Hong Kong. It shows that home-based learning in this challenging time has exposed the existing inequality in education.

Simulation-based optimisation (SO) is a popular optimisation approach for building and civil engineering construction planning. However, in the framework of SO, the simulation is continuously invoked during the optimisation trajectory, which increases the computational loads to levels unrealistic for timely construction decisions. Modification on the optimisation settings such as reducing searching ability is a popular method to address this challenge, but the quality measurement of the obtained optimal decisions, also termed as optimisation quality, is also reduced by this setting. Therefore, this study aims to develop an optimisation approach for construction planning that reduces the high computational loads of SO and provides reliable optimisation quality simultaneously.

This study proposes the optimisation approach by modifying the SO framework through establishing an embedded connection between simulation and optimisation technologies. This approach reduces the computational loads and ensures the optimisation quality associated with the conventional SO approach by accurately learning the knowledge from construction simulations using embedded ensemble learning algorithms, which automatically provides efficient and reliable fitness evaluations for optimisation iterations.

A large-scale project application shows that the proposed approach was able to reduce computational loads of SO by approximately 90%. Meanwhile, the proposed approach outperformed SO in terms of optimisation quality when the optimisation has limited searching ability.

The core contribution of this research is to provide an innovative method that improves efficiency and ensures effectiveness, simultaneously, of the well-known SO approach in construction applications. The proposed method is an alternative approach to SO that can run on standard computing platforms and support nearly real-time construction on-site decision-making.

This study postulates that the nostalgic emotion of cultural tourists affects their perceived experiential value and helps to evoke their destination image, which contributes to the formation of place attachment. The study deploys a survey research in which questionnaires are distributed in Mystical Yan Cheng, a theme park in China that is built on the historical remains of the Spring and Autumn Annals. The study collects 347 valid responses. The results reveal the multifaceted nature of a destination image. Furthermore, nostalgic emotion positively contributes to the place attachment of cultural tourists. However, the study also illustrates an inadequate understanding of the nature of nostalgic emotion and further study is recommended. The results of the study also indicate that a high level of satisfaction does not necessarily contribute to destination image and place attachment.