Based on energy consumption data from 2019 to 2024 at a tertiary hospital in Guangzhou under China's"Dual Carbon"policy context,this study investigates the dynamic trends between air-conditioning energy use and associated factors u-sing Pearson correlation,multiple linear regression,and mutual information analysis.Results indicate that outpatient volume and outdoor temperature(both with Pearson correlation coefficients＞0.7)are the primary drivers,with medical activity intensity and seasonal climate fluctuations significantly influencing cooling energy demand.A hierarchical model validated at both hospital-wide and building levels demonstrated improved prediction accuracy for energy trends.The study further proposes a dynamic energy al-location strategy and an anomaly early-warning mechanism,providing data-driven solutions for intelligent energy management in hospitals and supporting energy-saving and emission-reduction goals.

This study introduces the practice of renovating the sewage treatment system in an old campus of a large com-prehensive hospital.The practice involves redesigning the treatment capacity and overall layout of the sewage treatment system,as well as optimizing the sewage treatment process and daily operations to integrate the sewage treatment capacity of the entire district and improve the operational efficiency of sewage treatment.The findings of this study can serve as a reference for optimizing and renovating sewage treatment systems in other hospitals.

Based on energy consumption data from 2019 to 2024 at a tertiary hospital in Guangzhou under China's"Dual Carbon"policy context,this study investigates the dynamic trends between air-conditioning energy use and associated factors u-sing Pearson correlation,multiple linear regression,and mutual information analysis.Results indicate that outpatient volume and outdoor temperature(both with Pearson correlation coefficients＞0.7)are the primary drivers,with medical activity intensity and seasonal climate fluctuations significantly influencing cooling energy demand.A hierarchical model validated at both hospital-wide and building levels demonstrated improved prediction accuracy for energy trends.The study further proposes a dynamic energy al-location strategy and an anomaly early-warning mechanism,providing data-driven solutions for intelligent energy management in hospitals and supporting energy-saving and emission-reduction goals.

This study introduces the practice of renovating the sewage treatment system in an old campus of a large com-prehensive hospital.The practice involves redesigning the treatment capacity and overall layout of the sewage treatment system,as well as optimizing the sewage treatment process and daily operations to integrate the sewage treatment capacity of the entire district and improve the operational efficiency of sewage treatment.The findings of this study can serve as a reference for optimizing and renovating sewage treatment systems in other hospitals.

Polyphyllin Ⅰ(PPⅠ)and polyphyllin Ⅱ(PⅡ)are the main active substances in the Paris polyphylla.However,liver toxicity of these compounds has impeded their clinical application and the potential hepatotoxicity mechanisms remain to be elucidated.In this work,we found that PPⅠ and PⅡ exposure could induce significant hepatotoxicity in human liver cell line L-02 and zebrafish in a dose-dependent manner.The results of the proteomic analysis in L-02 cells and transcriptome in zebrafish indicated that the hepa-totoxicity of PPⅡ and PⅡwas associated with the cholesterol biosynthetic pathway disorders,which were alleviated by the cholesterol biosynthesis inhibitor lovastatin.Additionally,3-hydroxy-3-methy-lglutaryl CoA reductase(HMGCR)and squalene epoxidase(SQLE),the two rate-limiting enzymes in the choles-terol synthesis,selected as the potential targets,were confirmed by the molecular docking,the over-expression,and knockdown of HMGCR or SQLE with siRNA.Finally,the pull-down and surface plasmon resonance technology revealed that PPⅠ could directly bind with SQLE but not with HMGCR.Collectively,these data demonstrated that PPⅠ-induced hepatotoxicity resulted from the direct binding with SQLE protein and impaired the sterol-regulatory element binding protein 2/HMGCR/SQLE/lanosterol synthase pathways,thus disturbing the cholesterol biosynthesis pathway.The findings of this research can contribute to a better understanding of the key role of SQLE as a potential target in drug-induced hepatotoxicity and provide a therapeutic strategy for the prevention of drug toxic effects with similar structures in the future.