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This study aims to examine the effects on student motivation and perception of technological interventions within undergraduate mechanical engineering and product design and manufacture programs at a Sino-foreign international university. The authors use an augmented reality game application within a class on Design for Manufacturing and Assembly (DfMA) that was developed using the approaches of microlearning and digital game-based learning (DGBL).

Structured as design-based research, the study reports on developing innovative educational interventions and provides an empirical investigation of their effectiveness. Data were collected using a mixed methods approach, using pre- and post-tests and questionnaires, together with researcher observations and participant interviews.

Through two rounds of playtests, the game positively affected intrinsic motivation and encouraged higher-order cognitive learning, critical thinking, communication and collaboration. Collaborative learning plays a significant role, DGBL is preferred over traditional methods and microlearning reduces information density and cognitive overload.

The study contributes to our understanding of digital game-based interventions on students’ intrinsic motivation and provides insights into effective ways to design instructional materials in similar teaching and learning settings.

Partial alignment for 3 D point sets is a challenging problem for laser calibration and robot calibration due to the unbalance of data sets, especially when the overlap of data sets is low. Geometric features can promote the accuracy of alignment. However, the corresponding feature extraction methods are time consuming. The purpose of this paper is to find a framework for partial alignment by an adaptive trimmed strategy.

First, the authors propose an adaptive trimmed strategy based on point feature histograms (PFH) coding. Second, they obtain an initial transformation based on this partition, which improves the accuracy of the normal direction weighted trimmed iterative closest point (ICP) method. Third, they conduct a series of GPU parallel implementations for time efficiency.

The initial partition based on PFH feature improves the accuracy of the partial registration significantly. Moreover, the parallel GPU algorithms accelerate the alignment process.

This study is applicable to rigid transformation so far. It could be extended to non-rigid transformation.

In practice, point set alignment for calibration is a technique widely used in the fields of aircraft assembly, industry examination, simultaneous localization and mapping and surgery navigation.

Point set calibration is a building block in the field of intelligent manufacturing.

The contributions are as follows: first, the authors introduce a novel coarse alignment as an initial calibration by PFH descriptor similarity, which can be viewed as a coarse trimmed process by partitioning the data to the almost overlap part and the rest part; second, they reduce the computation time by GPU parallel coding during the acquisition of feature descriptor; finally, they use the weighted trimmed ICP method to refine the transformation.

The purpose of this paper is to understand the factors influencing content generation and community initiative in PESCs. Taking advantage of an emerging PESC – Xiaohongshu APP, the study identifies three antecedent resources, including customer-owned knowledge, harmonious passion to shopping and perceived information usefulness, that affect content generating and further community initiative.

Based on the service-dominant (S-D) logic model and resource integration related work, the authors proposed a conceptual framework empirically tested using data of a survey and the real content-generating behavior from 347 respondents.

This paper identifies three resource antecedents of content generating behavior with significant influence. Furthermore, there is a moderating effect of perceived information usefulness among these three resources, which echoes the concept of resource integration. Content generating has a significant and positive influence on community initiative.

First, the paper identified customer and platform resources promoting the prosperity of PESCs, enhancing the research on antecedents of community prosperity. Second, the paper empirically quantifies the process and outcome of resource integration conceptual model. Third, it enriches the understanding of C2C interaction by investigating the value creation process on PESCs. Moreover, findings in the study provide insights for community managers to improve the operation of PESCs.

This paper aims to investigate the reason for natural gas leakage from transmission pipelines between Linyi and Shouguang in China during sealing tests, explore the failure mechanism and provide a reference for taking reasonable measures to prevent such accidents.

Failure analysis for the steel pipe has been addressed with different methods, such as microstructure analysis, inclusion analysis, corrosion product analysis, macro- and micro-morphology analyses and bacterially catalyzed experiments.

Several bulges were observed, especially at the bottom of the steel pipe sample, with the distribution and positioning not related to the weld. The inner surface of the steel pipe was severely corroded, and the oxide scale was flaking in many places. The greatest corrosion area was identified at the bottom of the steel pipe near the gas leakage point. Severe pitting and perforation corrosion in the pipeline were observed, and the main corrosion reaction products were Fe3O4, FeO and FeS. The grain orientation distribution near the crack (coarse grains <101> and fine grains <111> at the microcrack tip) indicates that fine grains may be beneficial in hindering crack propagation.

The principal mechanism for the corrosion failure is supposed to be due to the interaction of chloride ions with the sulfate-reducing microorganisms present and the stress corrosion cracking by chloride and sulfide formed by the sulfate-reducing microorganisms.

Future foods such as plant-based meat alternatives (PBMA) are a means to achieving a more sustainable food system. However, there is a gap in what is known about PBMA from the consumer side, considering it is a relatively new food. Therefore, the paper aims to examine whether trust and perception could explain the intention to consume PBMA among Chinese adults.

The paper elicited the level of trust and perceptions related to PBMA. Then logistic regressions and mediation analysis were estimated to determine the associations between consumption intentions towards PBMA and a range of trust and perception variables.

The results indicate that most respondents trust food safety regulators and the labelling and composition standards. A comparison of the perception of meat and PBMA revealed that the majority of respondents perceive meat as tastier than PBMA while PBMA as being better for the environment. Regarding the effect of trust and perception on consumption intention, respondents that perceive PBMA as being better for the environment and having lower food safety risks are more likely to eat PBMA. Also, consumption intentions for PBMA are higher among respondents who trust safety regulators and independent promoters.

The finding on both the intention to try and the potential for sustained consumption is a prerequisite to predicting future demand. These findings are also crucial to guiding market orientation.

This paper focuses on drivers/barriers of consumer consumption intention – a shift from studies which examine product attributes and sensory or marketing determinants of consumption decisions.