Objective: To analyze the compliance status of physical fitness indicator and lifestyle characteristics among secondary vocational school students, as well as their associations, so as to provide a reference for physical fitness promotion among secondary vocational school students. Methods: Using a convenience sampling method, a questionnaire survey and physical fitness tests were conducted from September to December 2024 among 5 141 secondary vocational school students recruited from 16 secondary vocational schools across 8 provinces/municipalities in China, including Fujian, Chongqing, Guangdong, Guangxi, Hubei, Jiangxi, Shanghai and Zhejiang. Data on lifestyle factors were collected using a self designed questionnaire combined with standardized scales, including dietary habits, unhealthy behaviors, and 24 hour behaviors (physical activity, screen time, and sleep behavior). Multivariable Logistic regression model was used to analyze the associations of individual lifestyle behaviors and clustering of unhealthy lifestyle behaviors with non-compliance in physical fitness indicators among secondary vocational school students. Results: The compliance rates for waist circumference, vital capacity, grip strength, standing long jump, 30 second sit ups, 20 meter shuttle run, 50 meter dash, sit and reach, 20 second side steps among secondary vocational school students were 55.9%, 89.6%, 81.8%, 79.4%, 77.8%, 61.4%, 87.0%, 12.6%, and 63.5%, respectively, with a non-overweight/obesity rate of 78.9%. The reporting rates of daily breakfast consumption, milk consumption, and vegetable consumption were 58.9%, 18.3%, and 37.5%, respectively. The reporting rates of frequent takeout consumption, frequent sugar sweetened beverage consumption, smoking, alcohol drinking, insufficient moderate to vigorous physical activity (MVPA), excessive screen time, and insufficient sleep were 30.0%, 43.8%, 8.4%, 15.8%, 42.9%, 90.8%, and 42.6%, respectively. Multivariable Logistic regression analysis showed that secondary vocational school students with insufficient MVPA had higher risks of non-compliance in vital capacity, grip strength, standing long jump, 30 second sit ups, 20 meter shuttle run, 50 meter dash, and 20 second side steps ( OR =1.22- 1.60 ); secondary vocational school students who consumed breakfast daily had lower risks of non-compliance in vital capacity and overweight/obesity ( OR =0.81, 0.85); daily vegetable consumption was associated with a lower risk of vital capacity non-compliance ( OR =0.72); frequent takeout consumption was associated with an increased risk of non-compliance in the sit and reach test ( OR =1.28); smoking was associated with increased risks of non-compliance in the 20 meter shuttle run and 20 second side steps ( OR =1.38, 1.58) (all P <0.05). Regarding the clustering of unhealthy behaviors, secondary vocational school students with 4- 5 clustered unhealthy behaviors had higher risks of non-compliance in waist circumference and standing long jump; those with≥6 clustered behaviors had higher risks of non-compliance in standing long jump, 20 meter shuttle run, and 20 second side step ( OR = 1.17-1.36, all P <0.05). Conclusions The clustering of unhealthy behaviors is negatively associated with physical fitness status among secondary vocational school students. Secondary vocational schools should prioritize the promotion of comprehensive lifestyle management to improve the physical fitness levels of secondary vocational school students.

Objective To evaluate the consistency of multi-slice spiral CT (MSCT), Digital Radiography (DR) and fat-suppression MRI in detecting occult knee joint injury. Method Clinical data from 150 patients with suspected occult knee injuries who presented to the Department of imaging at the General Hospital of Ordnance Industry between August 2022 and August 2023 were retrospectively reviewed. All patients underwent MSCT, DR, and fat-suppression MRI for diagnostic evaluation. Arthroscopic or surgical findings served as the gold standard. We analyzed and compared the detection rates of specific types of occult knee injuries (ligament, meniscus, occult fracture, etc.) across the three modalities, as well as their ability to assess the degree of collapse and horizontal displacement in patients with knee fractures, and their overall diagnostic performance. Result According to the gold standard, among the 150 patients with suspected occult knee injury, 103 tested positive and 47 negative. Statistically significant differences were observed among MSCT, DR, and fat-suppression MRI in detecting occult fractures(P<0.05). The detection rates ranked in descending order asfollows: fat-suppression MRI>MSCT>DR. However, no significant difference were found in the detection rates of joint effusion and patellar cartilage injuries among the three techniques (P>0.05). Statistically differences were also note among the three techniques in detecting the degree of collapse and horizontal displacement in patients with knee fractures (P<0.05). Specifically fat-suppression MRI identified a higher proportion of grade 1 and 2 lesions than both MSCT and DR. Statistically significant differences were observed among the three techniques in diagnostic sensitivity and accuracy for occult knee injuries (P<0.05). Fat-suppression MRI demonstrated superior sensitivity (99.03%) and accuracy (96.67%) compared with MSCT (75.73%, 79.33%) and DR (61.17%, 68.00%). However, no significant difference was found in diagnostic specificity among the three techniques (P>0.05). Conclusion Compared with MSCT and DR, fat-suppression MRI offers higher diagnostic sensitivity and accuracy for occult knee injuries, particularly in identifying ligament injuries, meniscus injuries, and occult fractures.

Objective To evaluate the consistency of multi-slice spiral CT (MSCT), Digital Radiography (DR) and fat-suppression MRI in detecting occult knee joint injury. Method Clinical data from 150 patients with suspected occult knee injuries who presented to the Department of imaging at the General Hospital of Ordnance Industry between August 2022 and August 2023 were retrospectively reviewed. All patients underwent MSCT, DR, and fat-suppression MRI for diagnostic evaluation. Arthroscopic or surgical findings served as the gold standard. We analyzed and compared the detection rates of specific types of occult knee injuries (ligament, meniscus, occult fracture, etc.) across the three modalities, as well as their ability to assess the degree of collapse and horizontal displacement in patients with knee fractures, and their overall diagnostic performance. Result According to the gold standard, among the 150 patients with suspected occult knee injury, 103 tested positive and 47 negative. Statistically significant differences were observed among MSCT, DR, and fat-suppression MRI in detecting occult fractures(P<0.05). The detection rates ranked in descending order asfollows: fat-suppression MRI>MSCT>DR. However, no significant difference were found in the detection rates of joint effusion and patellar cartilage injuries among the three techniques (P>0.05). Statistically differences were also note among the three techniques in detecting the degree of collapse and horizontal displacement in patients with knee fractures (P<0.05). Specifically fat-suppression MRI identified a higher proportion of grade 1 and 2 lesions than both MSCT and DR. Statistically significant differences were observed among the three techniques in diagnostic sensitivity and accuracy for occult knee injuries (P<0.05). Fat-suppression MRI demonstrated superior sensitivity (99.03%) and accuracy (96.67%) compared with MSCT (75.73%, 79.33%) and DR (61.17%, 68.00%). However, no significant difference was found in diagnostic specificity among the three techniques (P>0.05). Conclusion Compared with MSCT and DR, fat-suppression MRI offers higher diagnostic sensitivity and accuracy for occult knee injuries, particularly in identifying ligament injuries, meniscus injuries, and occult fractures.

Objective To evaluate the consistency of multi-slice spiral CT (MSCT), Digital Radiography (DR) and fat-suppression MRI in detecting occult knee joint injury. Method Clinical data from 150 patients with suspected occult knee injuries who presented to the Department of imaging at the General Hospital of Ordnance Industry between August 2022 and August 2023 were retrospectively reviewed. All patients underwent MSCT, DR, and fat-suppression MRI for diagnostic evaluation. Arthroscopic or surgical findings served as the gold standard. We analyzed and compared the detection rates of specific types of occult knee injuries (ligament, meniscus, occult fracture, etc.) across the three modalities, as well as their ability to assess the degree of collapse and horizontal displacement in patients with knee fractures, and their overall diagnostic performance. Result According to the gold standard, among the 150 patients with suspected occult knee injury, 103 tested positive and 47 negative. Statistically significant differences were observed among MSCT, DR, and fat-suppression MRI in detecting occult fractures(P<0.05). The detection rates ranked in descending order asfollows: fat-suppression MRI>MSCT>DR. However, no significant difference were found in the detection rates of joint effusion and patellar cartilage injuries among the three techniques (P>0.05). Statistically differences were also note among the three techniques in detecting the degree of collapse and horizontal displacement in patients with knee fractures (P<0.05). Specifically fat-suppression MRI identified a higher proportion of grade 1 and 2 lesions than both MSCT and DR. Statistically significant differences were observed among the three techniques in diagnostic sensitivity and accuracy for occult knee injuries (P<0.05). Fat-suppression MRI demonstrated superior sensitivity (99.03%) and accuracy (96.67%) compared with MSCT (75.73%, 79.33%) and DR (61.17%, 68.00%). However, no significant difference was found in diagnostic specificity among the three techniques (P>0.05). Conclusion Compared with MSCT and DR, fat-suppression MRI offers higher diagnostic sensitivity and accuracy for occult knee injuries, particularly in identifying ligament injuries, meniscus injuries, and occult fractures.

Objective To explore the influencing factors of the construction of public hospital management accounting system,and to construct artificial intelligence models for predictive research,and to achieve software transformation in the later stage for automated evaluation of management accounting in different hospitals.Methods The indicators of management account-ing system were improved through literature analysis and Delphi method,and quantitative scoring standards were established.The automatic prediction of system indicators was realized by building an artificial intelligence model,and the effect of the model was evaluated.The way of software transformation was discussed.Results The coordination coefficient of Kendal in the two rounds of Delphi method questionnaires reached the requirements(P＜0.05),and 6 primary indicators and 23 secondary impact indica-tors were determined.The artificial intelligence model is well modeled,and the area under the Receiver operating characteristic is 0.959,P＜0.001,with high accuracy.Conclusion The index system can provide reference for the monitoring of the daily work of management accounting in public hospitals.Through the establishment of artificial intelligence model,it can be used to evaluate the construction level of management accounting system in different hospitals and provide artificial intelligence automation support.

Laparoscopic or robotic minimally invasive liver resection is the core treatment for liver cancer, but the safety and thoroughness of the surgery still face many challenges. In recent years, with the in-depth development of medical-industrial interdisciplinary, digital intelligent dia-gnosis and treatment technologies, which are deeply formed by the integration of digital medical technology, big data and artificial intelligence, have injected new vitality into the minimally invasive surgical treatment of liver cancer, brought a brand-new perspective, and promoted the transforma-tion of the traditional surgical paradigms into the modern minimally invasive, precise and intelligent surgical models. The authors summarize the development of digital intelligent minimally invasive surgical treatment of liver cancer over the past 20 years, discuss the evolution from clinical problems to key scientific issues, and from clinical needs to technological innovations. By reviewing past progress and looking forward to future directions, it aims to further promote the innovation of digital intelligent minimally invasive surgical techniques to improve the prognosis of patients with liver cancer.

Hepatocellular carcinoma(HCC)is a highly heterogeneous malignancy with poor prognosis,closely linked to oxidative stress,metabolic reprogramming,and tumor microenvironment alterations.Aldehyde dehydrogenase(ALDH)plays multifaceted roles in HCC by regulating oxidative stress,modulating glucose and lipid metabolism,sustaining cancer stem cell properties,and promoting immune evasion,making it a promising therapeutic target.This review summarizes the expression patterns and mechanistic functions of ALDH in HCC,highlights advances in ALDH-targeted therapies,including inhibitors such as disulfiram and diethylaminobenzaldehyde,and ALDH-based peptide vaccines-and discusses their potential in combination with immunotherapy and chemotherapy.Current evidence suggests that ALDH inhibition can suppress tumor growth,reverse drug resistance,and enhance antitumor immunity.Future research should aim to improve drug selectivity and safety,and to develop personalized combination strategies to optimize clinical outcomes in HCC patients.

Synovium is the target organ of rheumatoid arthritis.The excessive proliferation of synovial cells and insufficient apoptosis lead to synovial hyperplasia,which in turn causes damage to the surrounding tissues of the joint and bone destruction."Yang transforming qi and yin forming elements"is derived from Su Wen and is a highly summarized description of the functions of yin and yang,which runs through the entire course of the disease.This article elucidated the theoretical connotation of"yang transforming qi and yin forming elements"and its connection with synovial hyperplasia,proposing that the insufficiency of"yang transforming qi"is the root of synovial hyperplasia,while the excess of"yin forming elements"is the manifestation of synovial hyperplasia.Based on this,it put forward that"assisting yang qi as the priority,and according to the bias of pathogenic factors of yin,supplementing the method of reducing yin forming elements"is an important principle for treating this disease,which could provide new ideas for the treatment of the disease.

Objective To explore the influencing factors of the construction of public hospital management accounting system,and to construct artificial intelligence models for predictive research,and to achieve software transformation in the later stage for automated evaluation of management accounting in different hospitals.Methods The indicators of management account-ing system were improved through literature analysis and Delphi method,and quantitative scoring standards were established.The automatic prediction of system indicators was realized by building an artificial intelligence model,and the effect of the model was evaluated.The way of software transformation was discussed.Results The coordination coefficient of Kendal in the two rounds of Delphi method questionnaires reached the requirements(P＜0.05),and 6 primary indicators and 23 secondary impact indica-tors were determined.The artificial intelligence model is well modeled,and the area under the Receiver operating characteristic is 0.959,P＜0.001,with high accuracy.Conclusion The index system can provide reference for the monitoring of the daily work of management accounting in public hospitals.Through the establishment of artificial intelligence model,it can be used to evaluate the construction level of management accounting system in different hospitals and provide artificial intelligence automation support.

Laparoscopic or robotic minimally invasive liver resection is the core treatment for liver cancer, but the safety and thoroughness of the surgery still face many challenges. In recent years, with the in-depth development of medical-industrial interdisciplinary, digital intelligent dia-gnosis and treatment technologies, which are deeply formed by the integration of digital medical technology, big data and artificial intelligence, have injected new vitality into the minimally invasive surgical treatment of liver cancer, brought a brand-new perspective, and promoted the transforma-tion of the traditional surgical paradigms into the modern minimally invasive, precise and intelligent surgical models. The authors summarize the development of digital intelligent minimally invasive surgical treatment of liver cancer over the past 20 years, discuss the evolution from clinical problems to key scientific issues, and from clinical needs to technological innovations. By reviewing past progress and looking forward to future directions, it aims to further promote the innovation of digital intelligent minimally invasive surgical techniques to improve the prognosis of patients with liver cancer.