Promoting the construction of compact urban medical group has become an important part of building a high-quality,efficient,equitable,and accessible integrated integrated medical service system.Based on the policy orientation of the state to promote the construction of compact urban medical groups,it selects typical practical cases from Minhang(Shanghai),Luohu(Shenzhen),Hefei,and Qiqihar.lt analyzes their current explorations in organizational models and operational mechanisms,summarizes the main challenges they face,and accordingly proposes targeted optimization pathways,aiming to provide a reference for optimizing integrated medical service systems and forming establishing a orderly medical seeking system.

Promoting the construction of compact urban medical group has become an important part of building a high-quality,efficient,equitable,and accessible integrated integrated medical service system.Based on the policy orientation of the state to promote the construction of compact urban medical groups,it selects typical practical cases from Minhang(Shanghai),Luohu(Shenzhen),Hefei,and Qiqihar.lt analyzes their current explorations in organizational models and operational mechanisms,summarizes the main challenges they face,and accordingly proposes targeted optimization pathways,aiming to provide a reference for optimizing integrated medical service systems and forming establishing a orderly medical seeking system.

Objective The diagnosis of nasal fractures poses challenges in forensic clinical evaluation.This study aims to develop and enhance an artificial intelligence-based model for nasal fracture recognition,evaluate its performance,and provide assistance and support for forensic clinical identification.Methods Multi-center nasal CT images were selected and screened according to the consensus standards set by Chinese experts in nasal CT examination and diagnosis.A recognition model was constructed,followed by external verification and evaluation.Additionally,the diagnostic capabilities of qualified appraisers/doctors with different professional titles(primary,intermediate,and senior)were compared with the performance of the intelligent recognition model.The accuracy,sensitivity,specificity),and negative predictive value(NP)of the intelligent recognition model were comprehensively evaluated.Results The intelligent recognition model exhibited high diagnostic efficiency and stability.It improved the diagnostic accuracy of radiologists and appraisers in detecting nasal fractures while effectively bridging the gap between inexperienced doctors/appraisers and experienced ones.Conclusion The intelligent recognition model for nasal fractures can assist appraisers in enhancing their ability to locate such fractures on CT images and improve work efficiency while enhancing appraisal opinions'accuracy and scientificity.

The aluminum stress in acidic soil areas of China is an important abiotic stress factor that hampers the normal growth and development of plants and seriously affects the agricultural yield. The forms of plant resistance to aluminum stress are complex and diverse, which include secretion of organic acids, increase of rhizosphere pH, secretion of mucus, cell wall fixation of Al³⁺, organic acid chelation of Al³⁺ in cell solute, and vacuolar area isolation. Most of studies focus on analyzing conventional physiological characteristics, but in-depth molecular biological analyses are lacking. This review summarizes the mechanisms how plants adapt to acidic aluminum stress. This includes the effect of acid aluminum stress on plant growth and physiological metabolism, the two main physiological mechanisms of plant adaptation to acid aluminum stress (aluminum exclusion mechanism, aluminum tolerance mechanism), and the aluminum resistance related genes. Finally, this paper puts forward some prospects for further revealing the mechanism of plant adaptation to acid aluminum stress and excavating high-quality crops suitable for cultivation in acidic soils.
Acids ; Adaptation, Physiological ; Aluminum ; Crops, Agricultural/genetics* ; Gene Expression Regulation, Plant ; Plant Roots ; Soil/chemistry*