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This paper aims to provide a focused review on the geometrical designs for performance enhancement of piezoresistive microaccelerometers.

By analyzing working principle and conventional geometries, the improved research proposals are sorted into three groups in terms of their anticipated objectives, including sensitivity, resonant frequency and cross-axis sensitivity. Accessible methods are outlined and their merits and demerits are described.

Novel geometries obviously enhance the performance of accelerometers, and the efficacy can be further elevated by newer materials and fabrication processes.

This paper mainly focused on the improved geometrical designs for sensitivity, resonant frequency and cross-axis sensitivity. Other performance parameters or design schemes are not included in this paper.

This paper generalizes the available geometries and methods for the enhancement of sensitivity, resonant frequency and cross-axis sensitivity in piezoresistive accelerometers design.

Fine-tuning pre-trained language models (PLMs), e.g. SciBERT, generally require large numbers of annotated data to achieve state-of-the-art performance on a range of NLP tasks in the scientific domain. However, obtaining fine-tuning data for scientific NLP tasks is still challenging and expensive. In this paper, the authors propose the mix prompt tuning (MPT), which is a semi-supervised method aiming to alleviate the dependence on annotated data and improve the performance of multi-granularity academic function recognition tasks.

Specifically, the proposed method provides multi-perspective representations by combining manually designed prompt templates with automatically learned continuous prompt templates to help the given academic function recognition task take full advantage of knowledge in PLMs. Based on these prompt templates and the fine-tuned PLM, a large number of pseudo labels are assigned to the unlabelled examples. Finally, the authors further fine-tune the PLM using the pseudo training set. The authors evaluate the method on three academic function recognition tasks of different granularity including the citation function, the abstract sentence function and the keyword function, with data sets from the computer science domain and the biomedical domain.

Extensive experiments demonstrate the effectiveness of the method and statistically significant improvements against strong baselines. In particular, it achieves an average increase of 5% in Macro-F1 score compared with fine-tuning, and 6% in Macro-F1 score compared with other semi-supervised methods under low-resource settings.

In addition, MPT is a general method that can be easily applied to other low-resource scientific classification tasks.

This study aims to explore the combined strategies leading to successful repair of two types of trust in Chinese construction projects and provide an effective guidance and control trust repair in construction projects. During the research period, the author interviewed 150 managers from 50 Chinese construction projects and collected details of 125 violations. The research examines the effect of combined strategy of trust repair in Chinese management scenario.

This study adopted a mixed, quantitative, qualitative and exploratory approach. The author first extracted six strategies, namely, apology, denial, penance, communication, promise and compensation, from the literature review and generalization. Then, the author conducted an interview with 150 managers from 50 China construction projects. And the author analyzed the data through qualitative comparative analysis (QCA).

When competence-based trust is broken, violators should adopt communication and promise, demonstrate their competence and qualification, and change the attributions of competence from the trustor. When integrity-based trust is broken, violators should apologize, actively admit the mistake, show a positive attitude and seek the forgiveness from the trustor. After reconstructing trustors' perceptions of competence or integrity, violators should also make a promise to trustors for the future. The result of this research not only illustrates the sufficiency and necessity of a single strategy for trust repair but also explores the combination of trust repair strategies that rebuild the trust.

This study is limited to 50 construction projects in the Chinese construction context, so conclusions are limited in application. Data used in this research did not provide an in-depth analysis of trust repair failures. Thus, additional research is needed to explore why trust was not repaired. The study is also limited to examining the Chinese construction project organizations only, and future studies should incorporate organizations in other nations and regions.

Compared with using a single strategy, a combined strategy provides a contribution to the future practice of repair broken relationship between construction project organizations. This research helps to organize decisions and benefits managers, from Chinese owners and contractors, in choosing which of these strategies repair trust. The author also provides a specific combination of strategies to repair relationships for international companies that have conflicts with Chinese construction companies.

This research is among the early studies in China that preliminary examines the combined strategy of trust repair between Chinese owners and contractors by using causal attribution theory and QCA. This study makes a valuable contribution toward combined strategy in construction project and the knowledge system of trust repair. Future studies could build on the findings from the current study to develop a cross-cultural research on trust repair.

Status demotion in hierarchical loyalty programs (HLPs) has received considerable academic attention. However, little is known about whether status demotion engenders two widely recognised behavioural intentions: revenge and avoidance. This study aims to make up this gap by examining the effects of status demotion on customers’ revenge and avoidance intentions. The underlying mechanism and boundary conditions of these effects are also explored.

Two studies were conducted to test the hypotheses. Study 1 was conducted using a structured survey from 347 active HLP members/customers of Chinese airlines. Study 2 used an online experiment amongst 268 active HLP airline customers in Australia. Partial least squares-based structural equation modelling and Hayes’ (2013) PROCESS macro were used for data analysis.

The results of Study 1 show that status demotion increases customers’ revenge and avoidance intentions simultaneously. Meanwhile, these effects are more significant for demoted customers with an external locus of causality than those with an internal locus of causality and demoted customers with higher entitlement tend to possess more revenge intentions than avoidance intentions. Study 2 further identified perceived inequity as a mechanism, which links status demotion to revenge and avoidance intentions of demoted customers.

This study examines demoted customers’ revenge and avoidance intentions amongst Chinese and Australian airline travellers. Future research may focus on actual behaviour and test the current study’s model in cross-cultural and cross-industry settings.

Managers should deal with demotion decisions carefully as the failure to manage outraged customers may weaken customer-company relationships.

This study extends the existing literature on relationship marketing and HLPs by offering a better understanding of how and under what conditions status demotion elicits customers’ intentions for revenge and avoidance.

A generalized distribution with wide range of skewness and elongation will be suitable for the data mining and compatible for the misspecification of the distribution. Hence, the purpose of this paper is to present a distribution-based approach for estimating degradation reliability considering these conditions.

Tukey’s g-and-h distribution with the quantile expression is introduced to fit the degradation paths of the population over time. The Newton–Raphson algorithm is used to approximately evaluate the reliability. Simulation verification for parameter estimation with particle swarm optimization (PSO) is carried out. The effectiveness and validity of the proposed approach for degradation reliability is verified by the two-stage verification and the comparison with others’ work.

Simulation studies have proved the effectiveness of PSO in the parameter estimation. Two degradation datasets of GaAs laser devices and crack growth are performed by the proposed approach. The results show that it can well match the initial failure time and be more compatible than the normal distribution and the Weibull distribution.

Tukey’s g-and-h distribution is first proposed to investigate the influence of the tail and the skewness on the degradation reliability. In addition, the parameters of the Tukey’s g-and-h distribution is estimated by PSO with root-mean-square error as the object function.

Social media provides a convenient way to popularise first aid knowledge amongst the general public. So far, little is known about the factors influencing individuals’ adoption of first aid knowledge on social media. Drawing on the information adoption model (IAM), this study investigates the joint effects of cognitive factors (e.g. perceived information usefulness (PIU)), affective factors (e.g. arousal (AR)) and social factors (e.g. descriptive norms (DN)) on first aid knowledge adoption (KA) and examines their antecedent cues from the perspective of information characteristics.

The data were collected from 375 social media users, and the structural equation model was adopted to analyse the results.

The results indicate that PIU, AR and DN all have positive direct effects on first aid KA. Additionally, the study highlights the positive synergistic effect of AR and PIU. Furthermore, the study suggests that AR is determined by message vividness (MV) and emotional tone (ET), whilst DN are determined by peer endorsement (PEE) and expert endorsement (EXE).

Our research is groundbreaking as it delves into the adoption of first aid knowledge through social media, thus pushing the boundaries of existing information adoption literature. Additionally, our study enhances the IAM by incorporating emotional and social elements and provides valuable insights for promoting the spread of first aid knowledge via social media.

Peer-to-Peer Accommodation Service (P2PAS) has emerged as a novel paradigm that enables consumers to book temporary accommodation through P2PAS platforms (online transaction), and then reside in hosts' rooms (offline consumption). Due to potential variance in performance and conflict of interest between hosts and platforms, consumers may differ in their trust perceptions of the two parties, which in turn affects consumers' continuous usage of P2PAS. To this end, the authors endeavor to unravel the effect of consumers' trust incongruence on continuance intention, and to further elucidate the moderating influence of transaction and consumption risks on this relationship. This paper aims to discuss the aforementioned objectives.

This study collected data through an online survey of 408 P2PAS consumers. Polynomial modeling and response surface analysis were conducted to validate the hypothesized relationships.

Response surface analysis reveals that trust incongruence did not significantly affect consumers' continuance intention. However, continuance intention would be greater when TP was higher than TH compared with when TH was higher than TP. Furthermore, the analytical results suggest that trust incongruence exerts greater negative effect on continuance intention when transaction and consumption risks were high.

First, the study marks a paradigm shift in conceptualizing the incongruence between TP and TH as a determinant of consumers' continuance intention toward P2PAS. Second, the authors derive a typology of risks that is contextualized to P2PAS. Finally, the authors establish transaction and consumption risks as boundary conditions influencing the effects of trust incongruence on consumers' continuance intention toward P2PAS.

Periodic inspection and maintenance are essential for effective pavement preservation. Cracks not only affect the appearance of the road and reduce the levelness, but also shorten the life of road. However, traditional road crack detection methods based on manual investigations and image processing are costly, inefficiency and unreliable. The research aims to replace the traditional road crack detection method and further improve the detection effect.

In this paper, a crack detection method based on matrix network fusing corner-based detection and segmentation network is proposed to effectively identify cracks. The method combines ResNet 152 with matrix network as the backbone network to achieve feature reuse of the crack. The crack region is identified by corners, and segmentation network is constructed to extract the crack. Finally, parameters such as the length and width of the cracks were calculated from the geometric characteristics of the cracks and the relative errors with the actual values were 4.23 and 6.98% respectively.

To improve the accuracy of crack detection, the model was optimized with the Adam algorithm and mixed with two publicly available datasets for model training and testing and compared with various methods. The results show that the detection performance of our method is better than many excellent algorithms, and the anti-interference ability is strong.

This paper proposed a new type of road crack detection method. The detection effect is better than a variety of detection algorithms and has strong anti-interference ability, which can completely replace traditional crack detection methods and meet engineering needs.

In this paper, the mechanical properties and corrosion resistance of CoCr alloy fabricated by selective laser melting (SLM) were studied, and the changes of performance after porcelain sintering process were also analysed. This study is to point out the relationship between the microstructure, mechanical properties and corrosion resistance of CoCr alloys prepared by SLM after porcelain sintering process. In addition, the biosafety of the sintered CoCr alloy was evaluated.

The microscopic feature changes of CoCr alloy samples after porcelain sintering process were observed by DMI 5000 M inverted metallographic microscope and Nova Nano430 FE-SEM. Moreover, phase identification and determination were conducted by X-ray diffraction (XRD) using Smartlab X-ray diffractometer. The Vickers microhardness was measured on the HVS-30 microhardness tester, and tensile tests were carried out on a CM3505 electronic universal testing machine. The corrosion resistance was tested by a classical three-point electrode system electrochemical method, then the ion precipitation was measured by using an atomic absorption spectrometer of Z2000 7JQ8024.

The XRD results indicate that the transition of γ phase (FCC) to e phase (HCP) occurs during the porcelain sintering processing of CoCr alloy. Moreover, the Vickers microhardness of the upper surface and the side surface of the CoCr alloy sample was improved by more than 36%. In addition, the ultimate strength of CoCr alloy via porcelain sintering treatment was increase to 1,395.3 ± 53.0 MPa compared to 1,282.7 ± 10.1 MPa of unprocessed CoCr alloy. However, the corrosion resistance of CoCr alloy samples decreases after porcelain sintering process.

There are few studies on the relationship of microstructure, mechanical properties and corrosion resistance of CoCr alloys prepared by SLM after porcelain sintering process. In this study, the microstructure, mechanical properties and corrosion resistance of CoCr alloy after porcelain sintering process were studied, and the biosafety of the alloy was evaluated. The research found that it is feasible to apply CoCr alloy fabricated by SLM to dental medicine after porcelain sintering process.

Brand crises are widespread in the marketplace and how consumers perceive and respond to such crises is crucial for brand survival. This paper aims to elucidate the critical role of brand age in shaping consumers’ negative responses to competence-related versus ethics-related crises, with a particular focus on the Eastern cultural context. In addition, the roles of information diagnosticity and culture are investigated.

In a series of four studies conducted across China and the USA, the authors use a rigorous between-subject experimental design to delve into the dynamics of how the interplay between brand age and brand crisis impacts consumers’ negative responses, specifically negative word-of-mouth and boycott tendency, toward brands perceived as guilty.

Results show that brand age helps mitigate the negative responses of consumers in competence-related crises, yet exacerbates such reactions in ethics-related crises. In addition, information diagnosticity mediates the interactive effect of brand crisis and brand age on consumers’ negative responses. However, the results of the cross-cultural comparison study suggest that brand age exaggerates consumers’ negative responses to ethics-related brand crises only in Eastern cultures, but not in the Western contexts.

The research reveals the dual-edged impact of brand age during crises, enriches the literature that draws on information diagnosticity within the hierarchical restrictive schema theory. It also clarifies the boundary mechanisms related to cultural differences.

The findings of this research provide meaningful implications for brand managers by communicating the oldness of a brand may serve to buffer negative consumer responses to competence-related crises but can exacerbate the consequences of ethics-related crises.

This research offers a novel perspective on the nuanced influence of brand age on consumers’ adverse reactions to brand crises. It clarifies why emphasizing the oldness of brands in Eastern-culture markets is effective in mitigating competence-related crises but often counterproductive for ethics-related crises.