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Does using smart devices change people's moral standards? The objective of this paper is to investigate how people's moral behavioral intentions while employing smart devices are modulated by their socioeconomic status (SES; as measured by educational level and income).

Participants were randomly assigned to either the smart devices condition or the non-smart devices condition, and their moral standards was measured by the adapted Moral Foundations Questionnaire. Data were collected from both China and the UK.

Individuals' SES moderated people's moral standards when using smart devices. Specifically, when employing smart devices (vs non-smart devices), moral standards declined for low-SES individuals. However, the effect of employing smart devices was not significant for high-SES individuals. This suggests that certain demographics may be more inclined to harm others with smart devices.

In emerging markets, the widespread of smart devices in workplace may lower consumers' and employees' moral standards for certain demographics. Managers and marketers need to be aware of this erosion of morality and employ some preventive measures in advance.

This paper examined morality in the era of smart devices. Even though the use of smart devices has become a norm in developed markets, smart devices usage is still on the rise in emerging markets. The authors findings enhance the understanding of moral behaviors and contribute to the knowledge of how smart devices are changing human behaviors.

The purpose of this paper is to present an automatic approach for mesh sizing field generation of complicated  computer-aided design (CAD) models.

In this paper, the authors present an automatic approach for mesh sizing field generation. First, a source point extraction algorithm is applied to capture curvature and proximity features of CAD models. Second, according to the distribution of feature source points, an octree background mesh is constructed for storing element size value. Third, mesh size value on each node of background mesh is calculated by interpolating the local feature size of the nearby source points, and then, an initial mesh sizing field is obtained. Finally, a theoretically guaranteed smoothing algorithm is developed to restrict the gradient of the mesh sizing field.

To achieve high performance, the proposed approach has been implemented in multithreaded parallel using OpenMP. Numerical results demonstrate that the proposed approach is remarkably efficient to construct reasonable mesh sizing field for complicated CAD models and applicable for generating geometrically adaptive triangle/tetrahedral meshes. Moreover, since the mesh sizing field is defined on an octree background mesh, high-efficiency query of local size value could be achieved in the following mesh generation procedure.

How to determine a reasonable mesh size for complicated CAD models is often a bottleneck of mesh generation. For the complicated models with thousands or even ten thousands of geometric entities, it is time-consuming to construct an appropriate mesh sizing field for generating high-quality mesh. A parallel algorithm of mesh sizing field generation with low computational complexity is presented in this paper, and its usability and efficiency have been verified.