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An elasto‐viscoplastic analysis of anisotropic plates and shells is undertaken by means of the finite element displacement method. A thick shell formulation accounting for shear deformation is considered and a layered approach is adopted in order to model property changes through the shell thickness. In order to avoid ‘locking’ behaviour as the shell thickness is reduced, the nine‐node Lagrangian and heterosis elements are introduced into the present model. Viscoplastic yielding is based on the Huber—Mises criterion extended by Hill for anisotropic materials. Time integration of the strain rate equations is accomplished by both explicit and implicit algorithms and special consideration is given to the evaluation of the viscoplastic strain increment for anisotropic situations. The computer code developed is demonstrated by application to a range of numerical examples.

A generalized displacement method has been previously presented for the analysis of thin plate‐shell structures with the use of bilinear 4‐node isoparametric shell elements. Following this approach, a procedure for the geometrically non‐linear analysis of thin plates and shells based on both updated and total Lagrangian formulations is developed. The results of some numerical examples are presented to show the versatility and effectiveness of the method.

Since the beginning of the new millennium, Confucian doctrines on one’s self-cultivation have been re-introduced to curriculum in China. The revived cherish of the Confucian legacy in the twenty-first century is a reverse from the official rejection of Confucianism in the Mao era (1950–1976). It also appears as a counterweight to the individualism proliferating among the Chinese youths born at the beginning of the new millennium (Gen Z). The re-introduction of Confucianism is thus ideologically purposeful. Yet how does the mixed exposure to Confucius’ legacy and the modern idea of self-awareness impact this cohort of young people, in particular their way of learning? This chapter focusses on Chinese Gen Z studying in Australia. Using the Bourdieuan theory of human habitus, this chapter examines how these students negotiate between the ideas of self-cultivation and self-awareness, and what implications such experiences have in an intercultural academic community.

Construct a new sub-grid scale (SGS) model which can improve the efficiency and maintain comparative accuracy comparing to the existing dynamic cubic non-linear SGS model (DCNM).

The polynomial constitutive relation between the SGS stress tensor and both strain and rotation rate is selected as a basement. Simplification is achieved by eliminating the solid-body rotation term and adopting the assumption proposed by Kosovic. A dynamic procedure is applied to calculate three model coefficients in the new model. The new model (named dynamic simplified Lund model) and DCNM are applied to the rotating channel flow and the internal flow in a centrifugal pump impeller to examine the performance.

The new model is as accurate as DCNM but decreases 25 per cent computational resources. The ability of capturing rotation effect and reflecting backscatter is verified through cases. In addition, good numerical stability is shown during the calculation.

More benchmark and engineering cases should be used to get further confidence on the new model.

The new model is promising in industrial application with the advantage of both accuracy and efficiency. For the flow with large-scale separation or more complicate phenomenon, the model is thought to give accurate flow structure.

A new non-linear SGS model is proposed in this paper. The accuracy, numerical stability and efficiency are validated for this model. Therefore, it is promising in the prediction of the flow structure in centrifugal pumps.

Employee engagement serves as a critical strategy for tourism and hospitality organizations to support their employees and fight adversity. This study aims to investigate the antecedents and effects of employee engagement and examine innovative behavior as a linchpin mechanism for the relationship between organizational engagement culture and organizational performance.

This study analyzed the antecedents and effects of employee engagement through a hierarchical linear model that considers both organizational- and individual-level factors. The data was collected through a questionnaire survey from employees of 39 hotels in Guangzhou, China.

The results confirmed the significant positive effect of organizational empowerment, leadership and collaboration atmosphere on employment engagement. An individual’s perception of rewards and recognition, distributive justice and procedural justice significantly affected employee engagement. It was also confirmed that employee engagement ultimately improved performance outcomes at the individual and organizational levels. Additionally, the mediation effect of organizational innovation culture on the relationship between organizational employee engagement and organizational performance was confirmed.

Organizations can improve their performance by enhancing employee engagement, which in turn, can be encouraged by empowering leadership and organizational collaboration culture. Organizations can also improve their performance by providing rewards and recognition appreciated by employees and ensuring justice to them.

This research contributes to the literature on employee engagement in the hospitality industry by demonstrating how organizational performance can be improved through employee engagement using a multilevel model. The findings highlight that organizations with engaged employees are more likely to achieve an innovative culture, which in turn, leads to organizational success. This study also confirmed that empowerment, leadership and collaboration culture help improve organizational performance in the hospitality industry.

This research aims to use meta-analytical structural equation modeling to look into how hospitality employees use technology at work. It further investigates if the relationship between the constructs of the technology acceptance model (TAM) is moderated by job level (supervisory versus non-supervisory) and different cultures (eastern versus western).

In total, 140 relationships from 30 empirical studies (N = 6,728) were used in this study’s data analysis in accordance with the preferred reporting items for systematic reviews and meta-analysis.

The findings demonstrated that perceived usefulness had a greater influence on “user attitudes” and “acceptance intention” than perceived ease of use. This study also identified that the effect sizes of relationships among TAM constructs appeared to be greater for supervisory employees or in eastern cultures than for those in non-supervisory roles or western cultures.

The findings provide valuable information for practitioners to increase the adoption of employee technology. Practitioners need to focus on the identification of hospitality employee attitudes, social norms and perceived ease of use. Moreover, hospitality practitioners should be cautious when promoting the adoption of new technologies to employees, as those at different levels may respond differently.

This is the very first empirical investigation to meta-analyze the predictive power of the TAM in the context of hospitality staff technology adoption at the workplace. The findings also demonstrated differences in the predictive power of TAM constructs according to job level and cultural differences.

The purpose of this paper is to research the traditional belief‐propagation (BP) decoding algorithm of low‐density parity‐check code. The big computation load is a shortcoming of traditional BP decoding algorithm. Accordingly, the paper provides an improved BP decoding algorithm which raises the decoding efficiency and reduces decoding time delay.

An improved BP decoding algorithm is studied and the error correction performance of the improved BP decoding algorithm in the Gaussian channel is provided.

The simulation result shows the improved BP decoding algorithm has lower computational complexity and higher decoding speed based on the premise of a little decoding performance loss.

The improved BP decoding algorithm has lower computational complexity and higher decoding speed based on the premise of a little decoding performance loss.

The improved BP decoding algorithm raises the decoding efficiency and reduces decoding time delay.

The decoding algorithm only needs to update the wrong bit information which might arise, but not update the bit information whose reliability is very high. The improved BP decoding algorithm raises the decoding efficiency and reduces decoding time delay.