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Integrating institutional logic theory with institutional configurational perspective, this study proposes a theoretical framework to explore the configurational effect of multiple institutional logics, including state, market, and social logics, on social entrepreneurship (SE) participation.

Using data from the Global Entrepreneurship Monitor (GEM) survey combined with other international databases, this study applies a fuzzy-set qualitative comparative analysis (fsQCA) to identify the pathways that how state, market and social logics jointly promote or hinder high SE prevalence among 38 developing countries.

Results show that high SE prevalence rates are achieved through the interaction of multiple institutional logics rather than by any single factor and identify three institutional configuration pathways leading to high SE participation. Further, the pathways impeding high SE participation are not simply the negation of conditions that lead to high SE prevalence.

This study not only extends the institutional logics perspective to SE, enriching the growing research stream on how institutional complexity shapes entrepreneurial activities globally, but also underscores the significance of asymmetric institutional conditions in determining the presence and absence of high SE prevalence. These results have implications for policymakers to improve entrepreneurial institutional configurations that foster social entrepreneurial activities.

Compared with conventional statistical methods, which have limited effectiveness in exploring the synergies of multiple factors, the fsQCA method offers a more robust analysis of the causal complexity of institutional logics promoting or discouraging SE participation.

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.