Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

The number of children's emergency patients has increased in recent years，yet only a tiny proportion are in a true emergency. As a result，it is very necessary to implement a children's triage system to promptly assess the patient's health and prioritize them for emergency treatment，ensuring that critically ill patients are treated promptly and medical resources are efficiently utilized. As an emerging technology，the integration of artificial intelligence and medicine has been used in emergency care aids in the rapid and accurate assessment of the patient's condition. Machine learning-based triage models for children's emergencies have been shown to aid triage decision-making，optimize resource allocation，and reduce emergency department crowding；however，there are still issues such as a lack of data and imperfect models. In this review，we provided an overview of advancements in using artificial intelligence algorithms in children's emergency triage.

The number of children's emergency patients has increased in recent years，yet only a tiny proportion are in a true emergency. As a result，it is very necessary to implement a children's triage system to promptly assess the patient's health and prioritize them for emergency treatment，ensuring that critically ill patients are treated promptly and medical resources are efficiently utilized. As an emerging technology，the integration of artificial intelligence and medicine has been used in emergency care aids in the rapid and accurate assessment of the patient's condition. Machine learning-based triage models for children's emergencies have been shown to aid triage decision-making，optimize resource allocation，and reduce emergency department crowding；however，there are still issues such as a lack of data and imperfect models. In this review，we provided an overview of advancements in using artificial intelligence algorithms in children's emergency triage.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To observe the effect of the optimized formulas of extracts of Radix Astragali and Radix Angelicae Sinensis on the survival status of the idiopathic pulmonary fibrosis (IPF) mice,and on the expression levels of transforming growth factor-β (TGF-β) and vascular endothelial growth factor(VEGF),so as to optimize the therapeutic regimen and to explore the therapeutic mechanism.Methods One hundred and five SPF ICR male mice were randomly divided into normal group,model group and 5 Chinese medicine treatment groups (group 1,2,3,4,5 of the optimized formula of Radix Astragali and Radix Angelicae Sinensis extracts).The mice in the model group and the 5 treatment groups were intratracheally injected with bleomycin (5 mg/kg) to induce the pulmonary fibrosis model.On day 21,the lung tissues were taken out for the test.Hydroxyproline content was detected by alkaline hydrolysis method,and morphological changes of lung tissues were observed by hematoxylineosin (HE) staining and Mallory's staining methods.The expression levels of TGF-β and VEGF were detected by polymerase chain reaction (PCR).Results The HE staining and Mallory's staining results showed that the pulmonary fibrosis in the 5 treatment groups was relieved as compared with that in the model group,especially in the group 1,and the alveolar structure recovered better.The 21-day overall death rate in the treatment groups were lower than those in the model group,and group 1 and group 5 had the lowest rates,the difference being statistically significant (P＜ 0.05).Compared with the model group,the content of hydroxyproline in the lung tissues of the treatment groups were decreased to some degrees,and there was significant difference (P ＜ 0.05 or P ＜ 0.01).The expression levels of TGF-β and VEGF in model group were higher than those in normal group,but were deceased in the treatment groups to some degrees,except TGF-β expression in group 5,and the difference was significant(P ＜ 0.05 or P ＜ 0.01).Conclusion When the contents of Radix Astragali water-extract and Radix Angelicae Sinensis alcohol-extract were predominated,the extract formula exerts certain effects on decreasing hydroxyproline content in the lung tissues,inhibiting the expression levels of TGF-β and VEGF,and relieving the degree of pulmonary fibrosis in IPF mice.