Objective The aim of this study is to examine the epidemiological features of foodborne disease outbreaks in Nanjing between 2013 and 2023, in order to offer a scientific foundation for the prevention and management of foodborne diseases. Methods Gathering information on foodborne disease outbreaks in Nanjing from 2013 to 2023, conduct descriptive analysis on the epidemiological characteristics of outbreak events, including time distribution, location distribution, and pathogenic factor distribution. A comparison of the rates was conducted using a χ² test, with P<0.05 signifying statistical significance. Results Nanjing experienced 145 outbreaks of foodborne diseases. resulting in 21246 people being exposed, 2 488 affected and 3 fatalities from 2013 to 2023. The epidemic is primarily concentrated in the third quarter. There is a significant statistical difference in the incidence rate between different quarters (χ²=121.063, P<0.001). The number of events caused by Vibrio parahaemolyticus is the highest, accounting for 23.45%. The identification rate of problematic foods is 67.59%, with meat and meat products being the most pathogenic (18.62%). The outbreak was mainly caused by improper storage and processing. The restaurants being the most common (41.38%). Conclusions Nanjing should focus on monitoring outbreaks caused by Vibrio parahaemolyticus, especially in the third quarter; it is necessary to strengthen the health education of poisonous mushrooms; Nanjing should focus on the storage and processing of meat and meat products, and enhance food safety supervision in catering service venues, and improve on-site sampling and laboratory testing capabilities, thus drastically diminishing the risk of foodborne disease outbreaks.

Objective: To prepare the erythrocyte-liposome drug delivery system to enhance the therapeutic effect of drugs on tumors and inhibit tumor metastasis. Methods: This study prepared and characterized paclitaxel (PTX)-plerixafor (AMD3100) liposomes (Lips), developed the erythrocyte-liposome drug delivery system, and evaluated its targeting efficiency and therapeutic efficacy through a series of in vitro cellular and in vivo animal experiments. Results: The particle size of PTX-AMD-Lips was (186.4±0.83) nm. Drug encapsulation efficiency of PTX-AMD-Lips was (75.50±5.27)% for PTX and (88.31±2.45)% for AMD. The Binding efficiency between RBC and liposomes in the drug delivery system was (69.93±2.55)%. Vitro cellular experiments revealed that PTX-AMD-Lips significantly inhibited tumor cell migration. In vivo animal experiments, the erythrocyte-liposome drug delivery system significantly increased drug accumulation in the lungs. At the experimental endpoint, the quantitative fluorescence signal of tumor size measured (4.04±0.44)×10 for the PTX-Lips group, and (5.14±3.40)×10 for the RBC-PTX-AMD-Lips group. Conclusion: The erythrocyte-liposome drug delivery system could enhance the lung-specific targeting capability of liposomes, kill tumor cells and suppress further metastasis effectively.

Hedysari radix is the characteristic chi-nese medicine of Gansu Province,with"MiCang Hedysari radix"as the best.Modern pharmacologi-cal research has shown that it has polysaccharides and flavonoids,which have good anti-tumor effects and can inhibit the occurrence and development of various cancers,such as lung cancer,liver cancer,and breast cancer.Cancer is ranked as the second leading cause of death in the world,and the mor-bidity and mortality rates are increasing year by year,seriously affecting the quality of life.At pres-ent,with the modernization of Traditional Chinese Medicine(TCM),there has been a significant break-through in the treatment of malignant tumors with TCM.Based on this,by collating the relevant litera-ture at home and abroad in recent years,the anti-tumor effects and mechanisms of Hedysari radix and its active ingredients are summarized to pro-vide a scientific basis for the study of elucidating the material basis of the anti-tumor effects of He-dysari radix and to promote the development of the Hedysari radix industry.

Objective:To develop a scale for assessing science popularization competency in traditional Chinese medicine (TCM) and to evaluate its reliability and validity.Methods:Based on Lasswell's "5W" communication theory, the scale was constructed through literature review, expert consultation, and a pilot survey. Using convenient sampling, 450 TCM-related professionals were selected from two ClassⅢ Grade ATCM hospitals and their affiliated medical alliance community health institutions in Hunan Province. A total of 450 questionnaires were distributed and 446 valid responses were collected (valid response rate: 99.11%). Of these, 222 questionnaires were used for item analysis, reliability testing, and exploratory factor analysis (EFA) ; the remaining 224 were used for confirmatory factor analysis (CFA) .Results:The final TCM Science Popularization Competency Scale comprised 26 items under 6 dimensions: namely popular science cognition; science content creation ability; communication ability; professional values and personality traits; quality of science communication products; evaluation and feedback of communication effectiveness. EFA extracted six common factors, explaining 86.85% of total variance, with all item factor loadings > 0.500. The overall Cronbach's α coefficient for the scale was 0.972, with subscale values all > 0.800. Split-half reliability was 0.948. CFA showed good model fit across indices, indicating high reliability and validity.Conclusions:The TCM Science Popularization Competency Scale demonstrates good psychometric properties and can be used to assess the science popularization competency of TCM professionals. It offers a scientific tool to support the dissemination of TCM knowledge and contribute to the goals of the Healthy China initiative.

Objective:To develop a scale for assessing science popularization competency in traditional Chinese medicine (TCM) and to evaluate its reliability and validity.Methods:Based on Lasswell's "5W" communication theory, the scale was constructed through literature review, expert consultation, and a pilot survey. Using convenient sampling, 450 TCM-related professionals were selected from two ClassⅢ Grade ATCM hospitals and their affiliated medical alliance community health institutions in Hunan Province. A total of 450 questionnaires were distributed and 446 valid responses were collected (valid response rate: 99.11%). Of these, 222 questionnaires were used for item analysis, reliability testing, and exploratory factor analysis (EFA) ; the remaining 224 were used for confirmatory factor analysis (CFA) .Results:The final TCM Science Popularization Competency Scale comprised 26 items under 6 dimensions: namely popular science cognition; science content creation ability; communication ability; professional values and personality traits; quality of science communication products; evaluation and feedback of communication effectiveness. EFA extracted six common factors, explaining 86.85% of total variance, with all item factor loadings > 0.500. The overall Cronbach's α coefficient for the scale was 0.972, with subscale values all > 0.800. Split-half reliability was 0.948. CFA showed good model fit across indices, indicating high reliability and validity.Conclusions:The TCM Science Popularization Competency Scale demonstrates good psychometric properties and can be used to assess the science popularization competency of TCM professionals. It offers a scientific tool to support the dissemination of TCM knowledge and contribute to the goals of the Healthy China initiative.

Hepatocellular carcinoma(HCC)is one of the most prevalent malignancies worldwide,and accurate prognostic assessment and treatment planning are vital for improving patient outcomes.Conventional prognostic models,which rely on limited clinicopathological parameters,often fail to capture the profound heterogeneity of HCC.In recent years,artificial intelligence(AI)-particularly machine learning and deep learning-has driven a paradigm shift in precision oncology by leveraging its powerful capabilities in data mining and pattern recognition.This review provides a comprehensive overview of recent advances in AI for prognostic assessment and treatment optimization in HCC,with an emphasis on key methodologies such as radiomics and multi-modal data integration.It further discusses the clinical potential and challenges of AI in predicting postoperative recurrence,evaluating therapeutic response,and supporting individualized treatment decisions,while also outlining future directions in this rapidly evolving field.The review aims to inform and facilitate the clinical translation of AI technologies into the management of HCC.

Hedysari radix is the characteristic chi-nese medicine of Gansu Province,with"MiCang Hedysari radix"as the best.Modern pharmacologi-cal research has shown that it has polysaccharides and flavonoids,which have good anti-tumor effects and can inhibit the occurrence and development of various cancers,such as lung cancer,liver cancer,and breast cancer.Cancer is ranked as the second leading cause of death in the world,and the mor-bidity and mortality rates are increasing year by year,seriously affecting the quality of life.At pres-ent,with the modernization of Traditional Chinese Medicine(TCM),there has been a significant break-through in the treatment of malignant tumors with TCM.Based on this,by collating the relevant litera-ture at home and abroad in recent years,the anti-tumor effects and mechanisms of Hedysari radix and its active ingredients are summarized to pro-vide a scientific basis for the study of elucidating the material basis of the anti-tumor effects of He-dysari radix and to promote the development of the Hedysari radix industry.

Hepatocellular carcinoma(HCC)is one of the most prevalent malignancies worldwide,and accurate prognostic assessment and treatment planning are vital for improving patient outcomes.Conventional prognostic models,which rely on limited clinicopathological parameters,often fail to capture the profound heterogeneity of HCC.In recent years,artificial intelligence(AI)-particularly machine learning and deep learning-has driven a paradigm shift in precision oncology by leveraging its powerful capabilities in data mining and pattern recognition.This review provides a comprehensive overview of recent advances in AI for prognostic assessment and treatment optimization in HCC,with an emphasis on key methodologies such as radiomics and multi-modal data integration.It further discusses the clinical potential and challenges of AI in predicting postoperative recurrence,evaluating therapeutic response,and supporting individualized treatment decisions,while also outlining future directions in this rapidly evolving field.The review aims to inform and facilitate the clinical translation of AI technologies into the management of HCC.

Objective To investigate the status quo of fear of disease progression(FoP)in patients after pituitary neuroendocrine tumour surgery and analyse the medication effects of positive coping style on disease perception and FoP.Methods Convenient sampling method was used to select 345 patients with pituitary neuroendocrine tumours who underwent surgical operations in the neurosurgery department of a Grade IIIA hospital in Shanxi Province from January 2022 to January 2023 as the research objects.A general data questionnaire,disease perception questionnaire,medical coping style questionnaire and fear of progression questionnaire-short form(FoP-Q-SF)were used in the investigation.Pearson correlation was employed to analyse the correlations of the disease perception,active coping style and FoP among the patients.Structural equation models were used to analyse the mediating effects of positive coping styles on disease perception and FoP.Results The FoP score of patients after pituitary neuroendocrine tumour surgery was found at(35.02±4.92).FoP was positively correlated with the disease perception(r=0.672,P<0.01),and negatively with the active coping style(r=-0.679,P<0.01).Positive coping styles were positively correlated with disease perception(r=-0.610,P<0.01).Disease perception not only had a direct effect on FoP,but also had an indirect effect on FoP via active coping style,with an intermediate effect value of 0.202(P<0.001),accounting for 25.5%of total effect.Conclusion Postoperative positive coping style in patients with pituitary neuroendocrine tumour is a mediating variable between the disease perception and FoP.Medical staff should dynamically assess and early identify coping styles of patients and adopt personalised guidance programs,therefore to guide the patients to actively cope with the disease,so as to reduce the negative disease perception and alleviate the fear of disease progression of the patients.

Objective To observe characteristics of atherosclerotic plaque of coronary heart disease(CHD)with different traditional Chinese medicine(TCM)syndrome type based on intravenous ultrasound(IVUS).Methods Data of 116 CHD patients were retrospectively analyzed.The patients were divided into syndrome of blood stasis due to qi deficiency(n=33),syndrome of blockade of phlegm-turbidity(n=42)as well as syndrome of intermin-gled phlegm and blood stasis(n=41)according to TCM syndrome differentiation.IVUS was performed to compare lesion vessel and plaque characteristics among different syndromic types of CHD.Results The lipid pool area,extravascular elastic membrane area,remodeling index,plaque eccentricity index of CHD with syndrome of blood stasis due to qi deficiency were all larger than those of syndrome of blockade of phlegm-turbidity as well as syndrome of intermin-gled phlegm and blood stasis(all P＜0.05).The proportion of fibrous-fatty within plaques of syndrome of blood stasis due to qi deficiency was bigger than that of syndrome of intermin-gled phlegm and blood stasis(P＜0.05).The lipid pool area,extravascular elastic membrane area and plaque eccentricity index of CHD of syndrome of blockade of phlegm-turbidity were smaller than,while the proportion of necrotic core within plaques was bigger than those of syndrome of intermin-gled phlegm and blood stasis(all P＜0.05).Conclusion Atherosclerotic plaque characteristics in CHD with different TCM syndrome types were different,and the plaque stability of syndrome of blood stasis due to qi deficiency was the worst.