Objective To analyze the status of teaching occupational health and occupational medicine course under the background of new medical science, and to construct a semantic knowledge graph to realize the digital teaching reform of the course. Methods i) The literature on teaching research of occupational health and occupational medicine courses published between January 1, 2005 to December 31, 2025 was retrieved through the China National Knowledge Infrastructure. CiteSpace 6.4.R2 and VOSviewer 1.6.20 were used for bibliometric visualization. ii) A knowledge graph system based on Web front-end was constructed using the textbook of Occupational Health and Occupational Medicine (9th ed.), published by People's Medicine Publishing House, as the core data source. Results i) A total of 240 publications related to the teaching in occupational health and occupational medicine courses were included. The overall number of publications showed an upward trend. The research focused on curriculum teaching reform, curriculum-based political education, and digital technology-empowered teaching, forming an interdisciplinary and multi-dimensional research system. The evolution of keywords included three stages: the foundation period (2005-2015), the growth period (2016-2020), and the innovation period (2021-2025). ii) The constructed semantic knowledge graph realizes structural visualization and a dual-mode intelligent question answering agent. A total of four independent navigation modules, including chapter overview, core concept exploration, learning progress details, and relationship network visualization, were used to achieve multidimensional learning pathways. The system requires no installation and supports cross-platform operation, meeting the needs of both teachers and students. It effectively helps students establish systematic knowledge frameworks and enhances interdisciplinary integration ability and learning initiative. Conclusion In the context of new medical science, research on teaching in occupational health and occupational medicine has evolved from a niche field into a research hotspot and entered a stage of high-quality development. The constructed semantic knowledge graph for the Occupational Health and Occupational Medicine course facilitates digital teaching reform in this field and lays a solid foundation for cultivating high-level interdisciplinary occupational health professionals.

Patients with lung cancer experience a heavy symptom burden during the perioperative period, which seriously affects their recovery and quality of life. Traditional symptom management models rely mainly on scheduled ward rounds during hospitalization and outpatient follow-up after discharge. However, they have limitations such as delayed symptom recognition, lack of post-discharge monitoring, and non-quantitative symptom assessment, which often lead to delayed interventions and low patient satisfaction. In recent years, the symptom management model based on electronic patient-reported outcomes (ePRO) has been increasingly valued in clinical practice. Existing high-level evidence from both domestic and international studies indicates that, through proactive monitoring, real-time alerts, and remote interventions, this model enables dynamic and continuous symptom management and helps improve patient recovery and healthcare experience. As a supplement to routine medical care, the ePRO-based symptom management model aims to enhance the quality of care rather than replace existing medical processes. To promote the standardized application of this model in perioperative lung cancer care, this consensus integrates domestic and international evidence. After multiple rounds of voting by more than 50 experts, it formulates 12 consensus statements covering the three core components, symptom monitoring, alerting, and intervention, to provide scientific and practical recommendations for clinical practice.

Ecological cultivation is an important way for the sustainable production of traditional Chinese medicine in the context of the carbon peaking and carbon neutrality goals. Facility cultivation and simulative habitat cultivation modes have been developed and applied to develop the endangered Dendrobium huoshanense on the basis of protection. However, the differences in the greenhouse gas emissions and global warming potential of these cultivation modes remain unexplored, which limits the accurate assessment of carbon-friendly ecological cultivation modes of D. huoshanense. Greenhouse gas emission flux monitoring based on the static chamber method provides an effective way to solve this problem. Therefore, this study conducted a field experiment in the facility cultivation and simulative habitat cultivation modes at a D. huoshanense cultivation base in Dabie Mountains, Anhui Province. From April 2023 to March 2024, samples of greenhouse gases were collected every month, and the concentrations of CO_2, CH_4, and N_2O of the samples were then detected by gas chromatography. The greenhouse gas emission fluxes, cumulative emissions, and global warming potential were further calculated, and the following results were obtained.(1)The two cultivation modes of D. huoshanense showed significant differences in greenhouse gas emission fluxes, especially the CO_2 emission flux, with a pattern of facility cultivation>simulative habitat cultivation [(35.60±11.70)mg·m~(-2)·h~(-1) vs(2.10±4.59)mg·m~(-2)·h~(-1)].(2) The annual cumulative CO_2 emission flux in the case of facility cultivation was significantly higher than that of simulative habitat cultivation[(3 077.00±842.00)kg·hm~(-2) vs(221.00±332.00)kg·hm~(-2)], while no significant difference was found in annual cumulative CH_4 and N_2O emission fluxes.(3) The facility cultivation mode had a significantly higher global warming potential than the simulative habitat cultivation mode [(3 053.00±847.00)kg·hm~(-2) vs(196.00±362.00)kg·hm~(-2)]. Overall, the simulative habitat cultivation of D. huoshanense has obvious carbon-friendly characteristics compared with facility cultivation, which is in line with the concept of ecological cultivation of medicinal plants. This study is of great reference significance for the implementation and promotion of the ecological cultivation mode of D. huoshanense under carbon peaking and carbon neutrality goals.
Dendrobium/chemistry* ; Greenhouse Gases/metabolism* ; Carbon/analysis* ; Ecosystem ; Carbon Dioxide/metabolism* ; China ; Global Warming

Objective To explore the clinical effect of quality control circle(QCC)activities on the prevention of postoperative deep vein thrombosis(DVT)in inpatients in military hospitals.Methods A total of 318 patients who were diagnosed and treated in The First Affiliated Hospital of Air Force Medical University from January to December 2021 and 40 medical staff were enrolled in this study.Routine care was performed in 158 patients from January to June 2021,and QCC care was implemented in 160 patients from July to December 2021.The awareness of DVT prevention in medical staff and patients(or their famiy members)before and after QCC activities,lower limb DVT preventive measures taken by medical staff,and the occurrence of DVT were compared.Results The scores of the cause,clinical manifestations,nursing measures and preventive measures of DVT after QCC activities were significantly higher than those before QCC activities in both medical staff and patients(or their families)(P<0.05).The overall implementation rate of preventing lower limb DVT after QCC activities was significantly higher than that before QCC activities(94.14%vs.46.20%,P<0.05).The incidence of DVT after QCC activities was significantly lower than that before QCC activities(0.62%vs.5.06%,P<0.05).Conclusion Implementing QCC activities can improve the cognitive ability of military medical staff and patients(or family members)in DVT prevention,increase the implementation rate of DVT prevention measures,and reduce the incidence of DVT.

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.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

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 investigate the effects of palmatine on migration,invasion and epithelial mesenchymal transformation(EMT)in human oral cancer KB cells.Methods KB cells were divided into control group and palmatine-L,-M,-H groups,cultured with 0,4,8 and 16 μmol·L-1 palmatine.After incubation for 48 h,scratch assay was used to detect migration;Traswell assay was used to detect invasion;matrix metalloproteinase 2(MMP-2),MMP-9 and fibronectin(FN)contents were detected by enzyme-linked immunosorbent assay;the expression of Vimentin,N-cadherin and E-cadherin mRNA were detected by real-time quantitative polymerase chain reaction;the expression of Vimentin,N-cadherin,E-cadherin,Wnt3 and β-catenin protein were detected by Western blot.Results Cell mobility in control group and palmatine-L,-M,-H groups were(69.27±8.62)％,(52.94±4.49)％,(45.22±5.05)％and(37.63±4.88)％;the number of transmembrane cells were 197.33±20.26,125.33±12.01,97.00±9.17 and 62.67±7.51;the content of MMP-2 were(2.93±0.21),(1.49±0.13),(1.16±0.15)and(0.95±0.09)ng·mL-1;the content of MMP-9 were(3.51±0.36),(2.37±0.23),(2.06±0.35)and(1.72±0.16)ng·mL-1;the content of FN were(41.28±4.02),(24.03±3.17),(20.67±2.63)and(13.82±2.19)ng·mL-1;the above indexes in palmatine-L,-M,-H groups were compared with the control group,and the differences were statistically significant(P＜0.05,P＜0.01).The mRNA and protein expressions of Vimentin,N-cadherin and E-cadherin,and the expressions of Wnt3 and β-catenin protein in palmatine-L,-M,-H groups were statistically significant compared with those in control group(P＜0.05,P＜0.01).Conclusion Palmatine can inhibit the migration,invasion and EMT of human oral cancer KB cells,and its mechanism is related to the regulation of Wnt/β-catenin signaling pathway.

A qualitative identification method for Salmonella using high-performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)with multiple reaction monitoring(MRM)mode was established.Eight characteristic peptides were selected,and their MRM parameters were optimized.Furthermore,the performance of this HPLC-MS/MS method in species identification was further evaluated.Experimental results demonstrated that this method exhibited high specificity,enabling accurate differentiation of Salmonella from conventional food-borne pathogens.In a milk matrix,the 50%limit of detection(LOD50)was determined to be 0.35 CFU/25 g.This method was successfully applied to qualitatively identify Salmonellain five artificially contaminated food samples.The method presented here,in contrast to traditional biochemical assays,offered both speed and specificity,providing a novel means for the rapid and accurate identification of Salmonella in food.It held significant implications for the surveillance,prevention,and control of food-borne diseases.