ObjectiveTo systematically evaluate the application of narrative education in undergraduate nursing teaching， to understand the current application status of narrative education， and to provide a theoretical basis for the subsequent establishment of a sound narrative education system. MethodsA systematic search was conducted for studies published in Chinese and English databases on applying narrative education to undergraduate nursing teaching， with the search period ranging from database inception to February 23， 2025. Literature was screened， and relevant information was extracted. A rigorous quality evaluation was conducted on the included studies， and a descriptive analysis was performed on their content. ResultsA total of 20 papers were included， involving 3，180 research subjects， all of whom were undergraduate nursing students. The results of descriptive analysis showed that the teaching model of narrative education primarily encompassed reading narrative works， watching films and videos， performing narrative scenarios， and writing reflective journals. The course setting and content covered pre-teaching preparation and in-teaching implementation. The evaluation of teaching effectiveness included the evaluation of teachers’ teaching methods （student evaluation/self-evaluation） and the evaluation of students’ learning effectiveness （course grade evaluation/humanistic care scale/empathy scale assessment， and others）. ConclusionNarrative education combines abstract concepts with concrete clinical situations， which not only enriches students’ learning experiences but also enhances their humanistic literacy. Meanwhile， it provides teachers with opportunities to develop their narrative teaching skills， which requires them to possess profound professional knowledge and employ narrative techniques to guide students in reflection and critical thinking， thereby improving teaching quality and learning outcomes. Future efforts should consistently deepen the connotation research of narrative education and build a systematic nursing education system.

OBJECTIVE To systematically review the status on pharmacist competency assessment tools both domestically and internationally， providing a theoretical basis for constructing scientific and applicable pharmacist competency assessment tools in China. METHODS Through literature review and comparative analysis， 15 representative domestic and international pharmacist competency assessment tools were systematically summarized， and their theoretical foundations， core dimensions， methodological characteristics and practical applications were compared and implications were given. RESULTS &CONCLUSIONS International research has established relatively mature evaluation systems. Represented by those developed from the United Kingdom， the United States， and the International Pharmaceutical Federation， these assessment tools demonstrate scientific structure， wide application， and dynamic and international applicability. While domestic research has progressed in sub-specialties such as clinical pharmacists， licensed pharmacists and pediatric pharmacists， it still faces challenges including insufficient standardization， inadequate validation， delayed updates， and limitations in practical application. The reasons for the disparities in assessment tools between China and other countries include differences in pharmaceutical care models， varying pharmacist training systems， cultural and social background factors， as well as differences in industry management and international influence. Based on this， the author suggests promoting the development and research of assessment tools for pharmacist job competency in China from four aspects： mechanism construction， system refinement， standardization development， and practical implementation.

Objective To investigate the association between physical activity levels and blood lipids among college freshmen, and to provide scientific evidence for the health management of college freshmen. Methods An electronic questionnaire survey on physical activity was conducted on freshmen of a university, and fasting blood biochemical indicators were detected. The International Physical Activity Questionnaire (IPAQ) short form was used to evaluate the physical activity levels of the participants. Dyslipidemia was defined as an abnormality in any one of the following serum lipid parameters: total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), or non-high-density lipoprotein cholesterol. Binary logistic regression and stratified analyses were employed to explore the relationship between physical activity and blood lipids. Results A total of 3 401 participants were included, with an average age of 18.45 ± 0.92 years, and 60.5% were female. The prevalence of dyslipidemia was 17.7%, with a higher rate among males (22.1%) than females (14.8%). After adjusting for confounding factors related to blood lipids, high-intensity physical activity was negatively associated with the risk of elevated LDL-C among males (OR = 0.36, 95% CI: 0.13–0.99, P = 0.049). Conclusion Among freshmen at a medical college in Hubei Province, high-intensity physical activity is negatively associated with the risk of elevated LDL-C in males, but this association needs to be further confirmed by larger prospective cohort studies.

Objective:To develop and validate a deep learning-based multimodal model integrating clinical and radiomic features for predicting acute kidney injury（AKI）risk after partial nephrectomy.Methods:A retrospective analysis was conducted on 416 patients who underwent partial nephrectomy at Zhongshan Hospital，Fudan University from January 2023 to January 2025. The cohort included 100 AKI patients［defined by a ≥ 25% reduction in postoperative evaluated glomerular filtration rate（eGFR）within 48 hours sustained for >24 hours］and 316 non-AKI patients（1∶3 ratio，randomly matched with 16 additional cases for redundancy）. Clinical and radiomic features were extracted from preoperative contrast-enhanced CT scans using PyRadiomics. Demographics included 259 males and 158 females，with a median age of 57（49，65）years，body mass index of（24.1 ± 3.3）kg/m2，preoperative eGFR of（88.5 ± 18.3）ml/（min·1.73 m2），postoperative eGFR（48-hour）of（76.0 ± 21.9）ml/（min·1.73 m2），Zhongshan Score（ZSscore）of 7.34 ± 2.01，and R.E.N.A.L. score of 7.50 ± 1.71. All tumors were T 1a stage. Patients were divided into training（n = 312）and test（n = 104）sets（3∶1 ratio）. A clinical model was constructed via multivariate logistic regression，while radiomic and combined（clinical + radiomic）models utilized an artificial neural network（ANN）with 1 input layer，5 hidden layers，1 output layer，and 10 5 training epochs. Model performance was evaluated by using receiver operating characteristic（ROC）curves and area under the curve（AUC），and was compared to the Martini model. Feature contributions were interpreted via SHapley Additive exPlanations（SHAP）. Results:In the test set，the results of multivariate logistic regression showed that patient’s weight，preoperative eGFR，R.E.N.A.L. score，surgical approach，and operation time were risk factors for AKI（ P < 0.05）. The AUC of the clinical feature prediction model constructed based on the above factors was 0.852（95% CI 0.775?0.929）. In the test set，the AUC of the Martini model was 0.725（95% CI 0.565?0.791）. The radiomic model，trained on 1 315 imaging features，achieved an AUC of 0.898（95% CI 0.804?0.993）with 94.2%（98/104）accuracy. The combined clinical and radiomic model，integrating 1 315 radiomic features and clinical features，demonstrated superior performance with an AUC of 0.946（95% CI 0.887?1.000）and 96.2%（100/104）accuracy，outperforming both the clinical model（ P = 0.03）and the Martini model（ P < 0.01）. SHAP analysis identified the top five predictors in the combined model：ZSscore（SHAP value：0.78），long-run low gray-level emphasis（SHAP value：0.61），run-length non-uniformity（SHAP value：0.58），size-zone non-uniformity（SHAP value：0.46），and gray-level co-occurrence matrix joint energy（SHAP value：0.36）. Conclusions:The deep learning-based multimodal model integrating clinical and radiomic features accurately predicts AKI risk after partial nephrectomy，offering a novel strategy for preoperative risk stratification and personalized intervention.

Conventional radiotherapy tends to deliver uniform doses to tumors. However, to avoid high-dose-induced toxicity to surrounding organs or in the case of large-volume tumors, effective doses are frequently limited, thereby undermining the treatment efficacy. Spatially fractionated radiation therapy (SFRT) has the potential to overcome this limitation. Specifically, SFRT delivers spatially differential irradiation within target volumes, creating high-dose peak zones and low-dose trough zones. This uneven dose pattern may activate potential biological effects to kill tumor cells, improve the immune microenvironment, and activate the immune system. Besides, this pattern can reduce the dose to normal tissues surrounding large-volume tumors. This study provides a review of the development history, radiobiological mechanisms, relevant parameters, and clinical applications of SFRT, as well as its future trends.

Objective:To analyze the iodine nutrition status and its related factors among adults aged 18 years and above in Zhejiang Province in 2022.Methods:A multistage stratified sampling method was used to select 4 320 adults aged 18 years and above from 16 on-site survey sites in Zhejiang Province for the study. A questionnaire was used to investigate the general demographic information and personal dietary characteristics of the study participants. Household edible salt and urine samples were collected to detect salt iodine content and urinary iodine level by using direct titration and cerium arsenate-catalyzed spectrophotometry, respectively, to evaluate the iodine nutritional status according to the standard. The multiple-ordered logistic regression model was used to analyze the factors influencing the urinary iodine concentration.Results:The age of the 4 320 study participants was (51.19±15.33) years, with males accounting for 44.44% (1 920). About 40.16% of adults (1 735) were from coastal areas and 56.37% (2 435) from urban areas. The salt iodine content, M ( Q1, Q3), of the 4 320 household edible salt samples was 21.10 (0.00, 24.16) mg/kg, including 1 662 non-iodized salt samples, 182 unqualified iodized salt samples and 2 476 qualified iodized salt samples. The rate of iodized salt coverage was 61.53%, and the rate of qualified iodized salt consumption was 57.31%. There was a statistically significant difference in the proportion of qualified iodized salt in adult households among different regions ( P<0.001), with the proportion of non-iodized salt gradually decreasing from coastal to inland areas ( χ 2trend=618.458, P<0.001). The urinary iodine concentration M ( Q1, Q3) was 137.60 (86.85, 210.60) μg/L in 4 320 adult urine samples, with the urinary iodine levels of<100, 100-199, 200-299, and≥300 μg/L accounting for 31.64% (1 367), 40.56% (1 752), 17.66% (763), and 10.14% (438), respectively. There was a nonlinear positive correlation between household salt iodine content and urinary iodine level in adults aged 18 years and above by using the χ 2 test for trend ( χ 2regression=231.10, P<0.001 and χ 2skew=28.81, P<0.001). Urinary iodine concentrations were higher in men than in women ( P=0.029) and higher in adults in rural areas than in urban areas ( P<0.001). There were statistically significant differences in the distribution of iodine nutritional status among adults of different ages, regions, and urban and rural areas (all P<0.001). The proportion of those with urinary iodine levels<100 μg/L gradually increased with age ( χ 2trend=37.493, P<0.001), and gradually decreased from coastal areas to inland areas ( χ 2trend=71.381, P<0.001). The results of the multiple-ordered logistic regression model analysis showed that compared with adults aged 18 to 44 years and male adults, those aged 45 to 59 years and female adults had lower urinary iodine levels, with OR (95% CI) of 0.75 (0.68-0.83) and 0.85 (0.76-0.95), respectively. Compared with adults in coastal and urban adults, those in sub-coastal, inland and rural adults had higher levels of urinary iodine, with OR (95% CI) of 1.89 (1.63-2.19), 2.02 (1.72-2.37) and 1.46 (1.28-1.66), respectively. Conclusion:The overall iodine nutrition level of adults aged 18 years and above in Zhejiang Province in 2022 is generally appropriate. However, there is a potential risk of iodine deficiency among adults in coastal areas.

The trillions of commensal microorganisms living in the gut lumen profoundly influence the physiology and pathophysiology of the liver through a unique gut-liver axis. Disruptions in the gut microbial communities, arising from environmental and genetic factors, can lead to altered microbial metabolism, impaired intestinal barrier and translocation of microbial components to the liver. These alterations collaboratively contribute to the pathogenesis of liver disease, and their continuous impact throughout the disease course plays a critical role in hepatocarcinogenesis. Persistent inflammatory responses, metabolic rearrangements and suppressed immunosurveillance induced by microbial products underlie the pro-carcinogenic mechanisms of gut microbiota. Meanwhile, intrahepatic microbiota derived from the gut also emerges as a novel player in the development and progression of liver cancer. In this review, we first discuss the causes of gut dysbiosis in liver disease, and then specify the pivotal role of gut microbiota in the malignant progression from chronic liver diseases to hepatobiliary cancers. We also delve into the cellular and molecular interactions between microbes and liver cancer microenvironment, aiming to decipher the underlying mechanism for the malignant transition processes. At last, we summarize the current progress in the clinical implications of gut microbiota for liver cancer, shedding light on microbiota-based strategies for liver cancer prevention, diagnosis and therapy.

Objective To explore the medicinal mechanism of Actinidia Chinensis Planch Radix(ACPR)in the treatment of colorectal cancer(CRC)by network pharmacology and molecular docking technology.Methods The genes involved in the effects of the main chemical components and disease genes of ACPR were screened from the TCM database and disease database.The main genes were analyzed through protein interaction network analysis,and molecular docking was performed on the main chemical components and key targets.The effects of the drug on tumor cells were measured,and the levels of key proteins in the signaling pathway were detected.Results The primary components of ACPR for treating CRC include quercetin,β-sitosterol,aloe baicalin,and catechin.It targets 144 protein interaction sites and were involved in the protein interaction network,with key genes including AKT1,TP53,MAPK1,JUN,and TNF.The recognition network includes five modules that were involved in various biological processes and signaling pathways.The main components exhibited excellent or good activity when interacting with these targets.At a certain concentration,the drug could inhibit the proliferation,invasion,and migration of colorectal cancer cells and affect the PI3K/AKT signaling pathway.Conclusion ACPR has been used to treat colorectal cancer through multiple pathways and multiple targets,among which the PI3K/AKT signaling pathway may be the mechanism.

Objective Based on the theory of mutual admiration of spleen and kidney,this study intends to explore the medication patterns of traditional Chinese medicine for the treatment of spleen-kidney deficiency-type chronic kidney disease(CKD)by using data mining methods and to provide reference for the clinical treatment of spleen-kidney deficiency-type CKD.Methods The literatures included in China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,and VIP databases were used as data sources.The literature related to traditional Chinese medicine treatment of spleen-kidney deficiency-type CKD was analyzed by Excel 2021,IBM SPSS Modeler 18.0,IBM SPSS Statistics 27,and systematic clustering analysis and finally visualized by Cytoscape 3.7.2,RStudio.Results A total of 90 prescriptions were included,involving 146 flavors of drugs.The top 5 high-frequency drugs were Huangqi,Fuling,Baizhu,Dahuang,and Danshen.The medicinal properties are mainly mild and warm;The medicinal taste is characterized by sweetness,bitterness,and pungent;The main meridians of drugs are spleen,liver,and kidney meridians.Association rule analysis demonstrated that the commonly used couplet drugs were Huangqi-Fuling and Huangqi-Baizhu;Commonly used corner drugs included Huangqi-Baizhu-Fuling and Huangqi-Dahuang-Fuling.Cluster analysis found that the clustering effect of spleen-kidney deficiency-type CKD treatment drugs in five categories was better.Conclusion The medication rules of traditional Chinese medicine in the treatment of spleen-kidney deficiency-type CKD are preliminarily clarified,which provides a basis for clinical medication and new prescription development.

Objective To analyze the medication rules of traditional Chinese medicine compound patents for the prevention and treatment of urinary tract infection(UTI)through data mining technology.Methods The patents of traditional Chinese medicine compounds for the prevention and treatment of UTI in patent announcement module of China National Intellectual Property Administration website as data sources.The statistical analysis platforms of Excel 2021,IBM SPSS Modeler 18.0 and IBM SPSS Statistics 27.0 were used for frequency of use,medicinal properties,association rule analysis,and systematic clustering analysis and finally visualized by Cytoscape 3.7.2,RStudio.Results Through screening,a total of 179 compound patents met the inclusion criteria,involving 466 kinds of Chinese materia medica,and the top 5 high-frequency drugs were Pugongying,Huangbai,Gancao,Jinyinhua,Bianxu.The medicinal properties are mainly cold and mild;The medicinal taste is characterized by sweetness,bitterness,and bitterness;The main meridians of drugs are liver,lung and kidney meridians.Common couplet medicines included Qumai-Bianxu,Gancao-Bianxu and the three herb drug combinations included Cheqianzi-Qumai-Bianxu,Gancao-Qumai-Bianxu.A total of 5 high-frequency combinations of traditional Chinese medicine were obtained by cluster analysis.Conclusion This study preliminarily reveals the compatibility and medication rules of traditional Chinese medicine in the treatment of UTI,which provides data support for the optimization of clinical syndrome differentiation and treatment system and the development of new prescriptions.