Abstract: As an important part of urban energy consumption, the study of energy consumption in public buildings is of great significance for optimising energy management, reducing carbon emissions and ...
As 2026 approaches, dealmakers face a dual challenge: balancing macro uncertainty with the transformative potential of the ...
Abstract: Efficient railway track maintenance is critical for safety, operational reliability, and cost-effective asset management. While traditional inspection methods are well-established and comply ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Objective: This study aimed to compare and evaluate the predictive ability of obesity-related indicators for new-onset hypertension, and to explore causal effects using Mendelian randomization (MR).