Planning and layout of tourism and leisure facilities based on POI big data and machine learning.

The spatial arrangement of tourism cities and the strategic placement of tourism and leisure facilities are pivotal to the development of smart tourism cities. The integration of Point of Interest (POI) data, enriched with location-specific insights, holds significant potential for urban planning and the optimization of spatial layouts. This study employs machine learning methodologies to evaluate the suitability of Beijing's main urban area for the introduction of new tourism and leisure facilities.

LncPrep + 96kb inhibits ovarian fibrosis by upregulating prolyl oligopeptidase expression.

LncPrep + 96kb is a long non‑coding RNA expressed in murine granulosa cells. The 2.2-kb fragment of lncPrep + 96kb inhibits aromatase expression and estrogen secretion in ovarian granulosa cells.

Analysis on spatial structure characteristics and influencing factors of Beijing-Tianjin-Hebei Region MICE cities.

Industrial upgrading and transfer is one of the three key areas in the coordinated development of Beijing-Tianjin-Hebei Region. Meetings, incentives, conferences and exhibitions (MICE) are important means of promoting industrial upgrading. Urban MICE industry, as an important carrier of event activities, become an important gripper for coordinated development of Beijing-Tianjin-Hebei Region.