Research on Customer Loyalty of Online Short-term Rental Service: A Meta-analysis

Online short-term rental service has developed rapidly recently. Various scholars focused on how to improve customer loyalty of online short-term rental service, but their conclusions are usually different. Therefore, we built a comprehensive analysis to derive a unified conclusion. A meta-analysis was conducted according to the effect sizes extracted from 35 empirical articles about customer loyalty of online short-term rental service. The effect of customer loyalty classification was further explored from the two sub-dimensions, behavioral loyalty and composite loyalty. The results of the main effect analysis show that only sustainability has no significant effect on attitude. The loyalty classification analysis proves the validity and particularity of the results from the perspective of sub-dimensions of loyalty. The conclusions of this study will bring significant enlightenment to the academic and industry

A Research on the Relationship between Intestinal Flora and Human Longevity

The exploration of human life and health is advancing with the changes of the times. With the growth of age, the occurrence of chronic diseases of human immunity and organ system is frequent, which has a serious impact on human health. Genes, environment and other random factors determine the outcome of longevity, and intestinal flora is considered to be a decisive factor affecting human health and longevity, mainly because of its huge impact on human immunity, growth and development. The study of the relationship between intestinal flora and longevity is beneficial to improve the health status of the elderly and improve the overall life level of human beings, which has great scientific research value. This review will review the role of intestinal flora in longevity

ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation

We present ASSIST, an object-wise neural radiance field as a panoptic representation for compositional and realistic simulation. Central to our approach is a novel scene node data structure that stores the information of each object in a unified fashion, allowing online interaction in both intra- and cross-scene settings. By incorporating a differentiable neural network along with the associated bounding box and semantic features, the proposed structure guarantees user-friendly interaction on independent objects to scale up novel view simulation. Objects in the scene can be queried, added, duplicated, deleted, transformed, or swapped simply through mouse/keyboard controls or language instructions. Experiments demonstrate the efficacy of the proposed method, where scaled realistic simulation can be achieved through interactive editing and compositional rendering, with color images, depth images, and panoptic segmentation masks generated in a 3D consistent manner