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Adaptive slicing is a key step in three-dimensional (3D) printing as it is closely related to the building time and the surface quality. This study aims to develop a novel adaptive slicing method based on ameliorative area ratio and accurate cusp height for 3D printing using stereolithography (STL) models.

The proposed method consists of two stages. In the first stage, the STL model is sliced with constant layer thickness, where an improved algorithm for generating active triangular patches, the list is developed to preprocess the model faster. In the second stage, the model is first divided into several blocks according to the number of contours, then an axis-aligned bounding box-based contour matching algorithm and a polygons intersection algorithm are given to compare the geometric information between several successive layers, which will determine whether these layers can be merged to one.

Several benchmarks are applied to verify this new method. Developed method has also been compared with the uniform slicing method and two existing adaptive slicing methods to demonstrate its effectiveness in slicing.

Compared with other methods, the method leads to fewer layers whilst keeping the geometric error within a given threshold. It demonstrates that the proposed slicing method can reach a trade-off between the building time and the surface quality.

Stakeholders in complex capital projects are characterized by complicated interactions, adversarial short-term relationships and cooperative demand for deliverables. Unhealthy interfaces between stakeholders often lead to significant interface conflicts, which gradually become apparent in the construction stage. However, stakeholder interface health (SIH) has not been well understood and measured in the construction industry by either scholars or practitioners. It is essential to identify unhealthy interface relationships between stakeholders by comprehensively assessing SIH for enhancing project performance.

The study provided a comprehensive framework to assess SIH. The assessment was based on Wuli-Shili-Renli theory. Moreover, the CRITIC and Grey-TOPSIS methodologies were applied to precisely evaluate the SIH level. Besides, graph-based interface networks were developed to visualize SIH. At last, the framework was applied to a mass rapid transit project in China to test the validity of the study.

The result showed that stakeholder interfaces with strict contract constraints are healthier. On the other hand, IM behaviors make up for the soft coordination mechanism without contract constraints to a certain extent. The results of the case study were consistent with the actual project practices. The proposed framework provided a useful IM tool for assessing and visualizing SIH.

The limitation of this study is that only the mass rapid transit project was selected for empirical analysis to validate the effectiveness of the proposed framework. It is recommended that the proposed framework be applied to other types of complex capital projects to further discussions in IM.

Theoretically, this study introduces a comprehensive framework to measure the health of stakeholder interfaces in complex capital projects, which helps to provide a theoretical basis and methodological support for stakeholder interface management.

Practically, applying SIH assessment to existing interface management procedures can help the project manager identify interface conflicts between stakeholders in time and eventually contribute to the improvement of PM performance. At the same time, the interface management team tracks the responsibilities of unhealthy interface stakeholders and requires them to take measures to improve the SIH level. Stakeholder interfaces with lower health scores should be given more attention. The proposed framework can serve as a novel IM approach to identify weaknesses in IM and take targeted management measures to alleviate unhealthy stakeholder interface relationships.

The study provides an innovative method for scientifically and accurately assessing SIH. This research can help scholars and practitioners in the project management field facilitate the diagnosis of unhealthy interface relationships and provide decision support for the project management theoretical foundation.

This study aims to investigate the mechanism of the misinformation spread based on the elaboration likelihood model and the effects of four factors – emotion, topic, authority and richness – on the depth, breadth and structural virality of misinformation spread.

The authors collected 2,514 misinformation microblogs and 142,006 reposts from Weibo, used deep learning methods to identify the emotions and topics of misinformation and extracted the structural characteristics of the spreading network using the network analysis method.

Results show that misinformation has a smaller spread size and breadth than true news but has a similar spread depth and structural virality. The differential influence of emotions on the structural characteristics of misinformation propagation was found: sadness can promote the breadth of misinformation spread, anger can promote depth and disgust can promote depth and structural virality. In addition, the international topic, the number of followers, images and videos can significantly and positively influence the misinformation's spread size, depth, breadth and structural virality.

The influencing factors of the structural characteristics of misinformation propagation are clarified, which is helpful for the detection and management of misinformation.

In order to study whether far-infrared fabrics can be used as a garment for breast cancer patients, or as an adjuvant rehabilitation underwear for breast cancer patients after postoperative radiotherapy and chemotherapy, to eliminate tissue edema. To explore the effect of different far-infrared fabrics on the proliferation and invasion of breast cancer cells as a basic in vitro study.

Six kinds of fabrics of the same specification with different far-infrared nanoparticles were selected. MCF7 and Bcap37 breast cancer cells were used to study the effect of far-infrared fabrics on cell proliferation and invasion. Six kinds of far-infrared fabrics were used to culture breast cancer cells and explore their effects on breast cancer cell growth and the difference between different far-infrared fabrics.

It is found that the far-infrared emissivity of six kinds of fabrics are different, among which tea carbon fabric is the highest, followed by volcanic fabric, graphene fabric and biomass graphene fabric are the lowest. The results show that the far-infrared fabrics can significantly inhibit the proliferation and invasion of breast cancer cells, the higher the far-infrared emissivity is, and the longer the time of far-infrared radiation, the more significant the inhibition effect is.

Far-infrared fabrics can inhibit proliferation and invasion of breast cancer cells in vitro. Therefore, far-infrared fabrics can be used for adjuvant rehabilitation of breast cancer patients. This conclusion provides a basis for the application of far-infrared functional fabrics in the medical field. This conclusion provides a basis for the application of far-infrared functional fabrics in medical field.

To meet the requirement of establishing an effective schedule for the assembly process with overall detection and rework, this paper aims to address a new problem named resource-constrained multi-project scheduling problem based on detection and rework (RCMPSP-DR).

First, to satisfy both online and offline scheduling, a mixed integer programming model is established with a weighted bi-objective minimizing the expected makespan and the solution robustness. Second, an algorithm that combines a tabu search framework with a critical chain-based baseline generation scheme is designed. The tabu search framework focuses on searching for a reasonable resource flow representing the execution sequence of activities, while the critical chain-based baseline generation scheme establishes a buffered baseline schedule by estimating the tradeoff between two aspects of bi-objective.

The proposed algorithm can get solutions with gaps from −4.45% to 2.33% when compared with those obtained by the commercial MIP solver CPLEX. Moreover, the algorithm outperforms four other algorithms in terms of both objective performance and stability over instances with different weighting parameters, which reveals its effectiveness.

The represented RCMPSP-DR considering the overall detection and rework is an extension of the scheduling problem for large-scale equipment. An effective algorithm is proposed to establish the baseline schedule and determine the execution sequence of activities for the assembly process, which is significant for practical engineering applications.

Purpose – The net increase in China's urban population in the last 50 years equals the current total population of the European Union. The scale and speed of urbanization in China requires a sustainable solution to unprecedented energy demands and elevated carbon emissions. As low-carbon development emerges in urban China, it offers a unique vantage point to examine some fundamental theoretical questions of the environmental state. How do structural socioeconomic changes affect the environmental state? Does the rise of the environmental state offer a basis for regulatory reform on a broader scale?

Methodology/approach – Case study of five low-carbon cities in China provides the empirical evidence for the analysis. The five cities represent a continuum in their levels of postindustrialization. I compare low-carbon development strategies in postindustrial cities with those strategies in industrial cities. Evidence is collected primarily by way of interviews with planning bureau officials, urban design professionals, involved NGOs, academics, and private sector individuals familiar with the matter.

Findings – First, in cities where the level of postindustrialization is high, state resources support innovative low-carbon development strategies that attempt to achieve emission reductions in a variety of sectors. In industrial cities, however, the environmental state's regulative power is limited to one or two (sub)sectors. Second, and more importantly, a new pattern of governance is emerging in postindustrial cities. Low-carbon development in postindustrial cities is a much less centralized process, having local levels of governments as key players of low-carbon policy making. When the environmental state intersects with the postindustrial city, it gives birth to a new urbanism that has profound implications for political structuring in China.

Research limitations – The analysis in this chapter is based on evidence from a purposefully selected set of Chinese cities, which may render the results biased. Future studies should aim for a more systematic analysis of cities in order to establish more generalizable conclusions. In addition, given the increasing availability of quantitative data at the city level in China, future studies should also seek to incorporate quantitative analyses to better substantiate existing knowledge derived from qualitative sources of evidence.

Originality/value of chapter – First, this chapter challenges the Western bias in the existing literature on the environmental state. The role of the civil society is far from salient in the Chinese context, and yet the environmental state demonstrates a robust level of activity despite the weak civil society. It therefore seems that a general theory of the environmental state can be built from existing literature, but needs to be sensitive to non-Western social conditions that might falsify parts of the theoretical claims. Second, the environmental state literature can be consolidated and further developed when examined in conjunction with other literatures in the modernity tradition. I have demonstrated the connection between the environmental state and the postindustrial city. More studies are needed to examine other facets of the environmental state, as it intersects with a multitude of (post)modern conditions.

This study aims to explore the effect of social media engagement on the determinants of behavioural intention. Specifically, the authors empirically research the three behavioural intention determinants, namely, attitude, subjective norms and perceived behavioural control (PBC), and confirm their effect on students' intention to enrol on a university online programme.

A conclusive research analysis is followed, and a moderation analysis is conducted to test the hypotheses of the model. Empirical evidence from 201 students in the UK higher education is used and a structural equation modelling approach is followed.

The findings suggest a significant effect of social media engagement on attitude, subjective norms and PBC. The latter three are confirmed as determinants of the intention to enrol on a university online programme. Mindfulness is found to positively moderate the effect of the three determinants on behavioural intention.

This study advances knowledge pertaining to the theory of planned behaviour (TPB) by highlighting the effect of social media engagement on the determinants of the intention to enrol on a university online programme. Additionally, the moderating role of mindfulness is also tested with regards to its effect on the relationship between behavioural intentions and its determinants.

Crane plays a very important role in national economy with greatly reduced labor intensity, improved production efficiency and promoted social development as an indispensable auxiliary tool and process equipment. Therefore, its energy consumption becomes an unavoidable topic and in fact, energy consumption of crane is very huge. It has been proved to be the most cost-effective way for reducing energy consumption to establish and implement new energy efficiency standard. Thus, it is necessary to analyze and evaluate the energy efficiency for overhead crane so as to propose a new energy efficiency standard. The paper aims to discuss these issues.

In this paper, four kinds of energy consumption sources of overhead crane is considered, based on which, an energy efficiency grading model for overhead crane based on BP neural network is proposed. Second, DS evidential theory is analyzed and based on it, an energy efficiency evaluation model based on BP neural network and DS evidential theory is proposed. The evaluation procedure is discussed in detail. Then, a case is demonstrated how the evaluation is carried out.

If overhead cranes with different energy consumptions need to be graded according to energy efficiency, the criterions to establish the energy efficiency labels for overhead cranes is proposed in this paper.

The research results can provide energy efficiency standard proposal of overhead crane for relative departments to monitor the design, manufacturing and use of overhead crane.

An energy efficiency grading model for overhead crane based on BP neural network is proposed. An energy efficiency evaluation model based on BP neural network and DS evidential theory is proposed.

This paper aims to explore the determinants of maternal and infant health knowledge (M&IHK) adoption and sharing in the short video from an empathy theory perspective. We explore how to transfer users from free health knowledge to health-related product purchase intention, which is vital for platform knowledge management and service.

Focusing on the M&IHK, this study proposes four processes of health knowledge adoption and sharing – knowledge quality persuasion process; source credibility persuasion process; affective empathy emotion process; and cognitive empathy emotion process – to build a framework of M&IHK adoption and sharing. Furthermore, based on adoption and sharing, we explore whether they can promote health-related product purchase intentions. A theoretical model is constructed and tested via Smart PLS in 388 samples.

In a short video context, perceived knowledge quality and perceived source credibility are still two determinants of health knowledge adoption and sharing. On the contrary, perceived affective empathy and perceived cognitive empathy are two new determinants of health knowledge adoption, but not of health knowledge sharing. Adoption of M&IHK is more driven by both rational thinking and emotional thinking than sharing-only driven by emotional thinking. Adoption and sharing both contribute to health-related product purchase intention, but the female’s intention is more related to rational adoption than the male, which is only related to emotional sharing.

This paper is arguably the first study to examine how short videos impact the mechanisms of M&IHK adoption, sharing and health-related products' purchase intention. It’s perhaps the first study to integrate empathy theory into health knowledge management.