Objective To explore the impact of tumor-associated myeloid cell infiltration signatures on postoperative overall survival (OS) in patients with gastric cancer. Methods A retrospective analysis was performed on patients who underwent radical gastrectomy at Zhongshan Hospital, Fudan University from January 2005 to December 2019. Patients were randomly divided into a training set (n＝167) and an internal validation set (n＝168) at a 1:1 ratio. Meanwhile, 147 patients with gastric cancer treated at Zhongshan Hospital (Xiamen), Fudan University during the same period were enrolled as the external validation set (n＝147). Immunohistochemistry was used in all patients to evaluate the distribution characteristics of 18 immune markers in three regions of gastric cancer tissues, namely primary tumor (PT), invasive margin (IM), and normal tissue (NT). These markers include 11 myeloid cell markers (CD11b, CD33, CD11c, CD14, CD15, CD16, CD68, CD86, CD163, CD206, and CD66b) and 7 immune checkpoints (CD73, IDO, LAG3, PD-1, SIGLEC9, SIRPA, and TIM3). LASSO regression and Cox proportional hazards model were applied to screen immune markers associated with postoperative OS in gastric cancer patients, and a predictive model for 1-, 3-, and 5-year postoperative OS was established. Data from the internal and external validation set were used for internal and external verification of the predictive model. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) was calculated to assess the discriminative ability of the model. Results In the training set, LASSO regression and Cox proportional hazards model identified 4 immune marker signatures (CD14_PT, CD15_PT, CD206_PT, and SIGLEC9_PT) to construct the predictive model. ROC curve analysis showed that the AUCs of the model for predicting 1-, 3-, and 5-year postoperative OS were 0.74, 0.75, and 0.84, respectively. When the model was applied to the internal and external validation sets, the AUCs for 1-, 3-, and 5-year postoperative OS were 0.74, 0.72, 0.72 (internal validation set) and 0.72, 0.71, 0.74 (external validation set), respectively. Cox multivariate regression analysis showed that the risk score was an independent risk factor for postoperative OS in patients with gastric cancer. Conclusion The model constructed based on LASSO-Cox regression exhibits good predictive performance and can effectively predict postoperative OS in gastric cancer patients, which may serve as a basis for intensive treatment of high-risk patients after surgery.

The prevention and control of health-associated infections are essential for safeguarding patients and im-proving medical quality during the process of medical service.Real-time and effective prevention and control meas-ures can not only remarkably reduce the risk of infections among the patients and health care workers but also are the essential conditions for high-quality medical service.As a convenient,rapid and highly efficient onsite diagnos-tic tool,point-of-care testing(POCT)can rapidly identify the source of infection and start precise control inter-ventions at the spot of infection,which may remarkably reduce the incidence of health-associated infection.In ad-dition,the real-time prevention and control strategies for infections can provide guidance for appropriate treatment of infections,reduce the emergence and transmission of drug-resistant strains,improve the prognosis of patients and further cut the overall medical cost.

Objective:To evaluate the sample preparation proficiency and storage proficiency of 11 clinical biobanks in Beijing through simulated experiments, and to establish an assessment method for the quality comparability of biological samples.Methods:An exploratory research design was adopted. In November 2023, artificial composite serum quality control materials containing six recombinant human protein markers—recombinant human alanine aminotransferase (rhALT), recombinant human aspartate aminotransferase (rhAST), recombinant human creatine kinase (rhCK), recombinant human creatine kinase-MB (rhCK-MB), recombinant human B-type natriuretic peptide (rhBNP), and recombinant human troponin I (rhTNI)—were distributed to 11 clinical biobanks in Beijing City. Sample preparation and storage followed the standardized operating procedures. Proficiency differences were assessed through statistical analysis.Results:Three-way repeated measures ANOVA revealed all six protein markers showed a declining trend over storage time in ultra-low-temperature environments ( F values 11.68-4 179.66, all P<0.01). However, neither long-term/temporary refrigerator types ( F values 0.01-1.23, all P>0.05)nor placement locations within refrigerators significantly affected the stability of these six proteins ( F valus 0.03-1.47, all P>0.05). The biases in detection results for rhALT, rhAST, rhTNI, and rhBNP at different storage time points were within the allowable bias limits for each item, supporting their use as markers for protein stability in biobank samples. All 11 institutions passed the storage proficiency assessment. In the preparation proficiency assessment, deviations were observed in post-preparation sample results, with a notably high out-of-control rate for rhCK (36.36%). Conclusion:Sample preparation proficiency can serve as a quality control metric for clinical biobanks. Future external quality assessment systems for biobanks should focus on sample preparation rather than storage processes.

To summarize Professor WANG Jianmin's experience in cathartic colon from "keeping sweet to return liquid". It is believed that the key to the pathogenesis of cathartic colon is fluid consumption and intestinal dryness， including yin depletion of spleen earth， and lack of sources for body fluids production； discordance of water and fire in kidneys， and irregular distribution of body fluids； and closure of the lungs and liver leads to inability of the flow of fluids. The treatment is based on the principle of "keeping sweet to return liquid"， using sweet medicinals mainly， assistant with sour， bland and acrid medicinals， and self-prescribed Lipi Shengjin Decoction （理脾生津汤）， Wenshen Runchang Decoction （温肾润肠汤）， Kaifei Shunchang Decoction （开肺顺肠汤）， Rougan Tongbian Decoction （柔肝通便汤） could be used to regulate spleen yin by the sweet and bland， and establish qi and promote fluid production； the sweet and warm medicinals can replenish water and fire， transform into qi， and distribute body fluids； the acrid and sweet can open lung depression， descend qi， and flow the body fluids； the sour and sweet can emolliate liver， move qi， and transform fluids.

Objective:To evaluate the sample preparation proficiency and storage proficiency of 11 clinical biobanks in Beijing through simulated experiments, and to establish an assessment method for the quality comparability of biological samples.Methods:An exploratory research design was adopted. In November 2023, artificial composite serum quality control materials containing six recombinant human protein markers—recombinant human alanine aminotransferase (rhALT), recombinant human aspartate aminotransferase (rhAST), recombinant human creatine kinase (rhCK), recombinant human creatine kinase-MB (rhCK-MB), recombinant human B-type natriuretic peptide (rhBNP), and recombinant human troponin I (rhTNI)—were distributed to 11 clinical biobanks in Beijing City. Sample preparation and storage followed the standardized operating procedures. Proficiency differences were assessed through statistical analysis.Results:Three-way repeated measures ANOVA revealed all six protein markers showed a declining trend over storage time in ultra-low-temperature environments ( F values 11.68-4 179.66, all P<0.01). However, neither long-term/temporary refrigerator types ( F values 0.01-1.23, all P>0.05)nor placement locations within refrigerators significantly affected the stability of these six proteins ( F valus 0.03-1.47, all P>0.05). The biases in detection results for rhALT, rhAST, rhTNI, and rhBNP at different storage time points were within the allowable bias limits for each item, supporting their use as markers for protein stability in biobank samples. All 11 institutions passed the storage proficiency assessment. In the preparation proficiency assessment, deviations were observed in post-preparation sample results, with a notably high out-of-control rate for rhCK (36.36%). Conclusion:Sample preparation proficiency can serve as a quality control metric for clinical biobanks. Future external quality assessment systems for biobanks should focus on sample preparation rather than storage processes.

As an independent first-level discipline,an appropriate classification of nursing science is significant.In China,each nursing degree-granting institution has developed its own secondary-level discipline directions based on its research characteristics and strengths,with varying names and research scopes.Furthermore,there is no unified global classification system.This paper,based on the characteristics of nursing as a discipline and combined with China's discipline classification principles,used literature analysis,comprehensive classification,philosophical reflection,logical reasoning,and expert consultation methods to explore the connotation of nursing,its unique research objects and scope,and to construct a secondary-level discipline classification system for nursing science that is suitable for China's national conditions.The paper also discussed the challenges faced by the nursing discipline and its future development directions,providing theoretical and practical guidance for the development of the nursing discipline.

The prevention and control of health-associated infections are essential for safeguarding patients and im-proving medical quality during the process of medical service.Real-time and effective prevention and control meas-ures can not only remarkably reduce the risk of infections among the patients and health care workers but also are the essential conditions for high-quality medical service.As a convenient,rapid and highly efficient onsite diagnos-tic tool,point-of-care testing(POCT)can rapidly identify the source of infection and start precise control inter-ventions at the spot of infection,which may remarkably reduce the incidence of health-associated infection.In ad-dition,the real-time prevention and control strategies for infections can provide guidance for appropriate treatment of infections,reduce the emergence and transmission of drug-resistant strains,improve the prognosis of patients and further cut the overall medical cost.

As an independent first-level discipline,an appropriate classification of nursing science is significant.In China,each nursing degree-granting institution has developed its own secondary-level discipline directions based on its research characteristics and strengths,with varying names and research scopes.Furthermore,there is no unified global classification system.This paper,based on the characteristics of nursing as a discipline and combined with China's discipline classification principles,used literature analysis,comprehensive classification,philosophical reflection,logical reasoning,and expert consultation methods to explore the connotation of nursing,its unique research objects and scope,and to construct a secondary-level discipline classification system for nursing science that is suitable for China's national conditions.The paper also discussed the challenges faced by the nursing discipline and its future development directions,providing theoretical and practical guidance for the development of the nursing discipline.

In response to the current situation and teaching status of the medical image processing course on the background of"new medical science",a teaching software which is highly compatible with the teaching process of medical image processing is developed.The teaching software allows for linear grayscale transformation,windowing display,scaling,rotation,mirroring,median filtering,differential sharpening,edge detection,histogram acquisition,and histogram equalization of medical images.Additionally,it enables parameter adjustments within a certain range for linear grayscale transformation,windowing display,scaling,rotation,median filtering,differential sharpening,and edge detection.Meanwhile,it employs different algorithms to achieve the scaling of medical images.The teaching software is used in the theoretical and experimental teaching of medical image processing courses at Baotou Medical College.It can improve students'initiative and enthusiasm in learning,strengthen their understanding of the examination points for radiology technicians,lay a solid foundation for subsequent courses,and ultimately achieve the goal of in-depth integration of"Medical Engineering"and"Medical Science"in the medical image technology major at Baotou Medical College under the background of"new medical science".