Background Psychological disturbances such as work-family conflict and depressive mood are prevalent among occupational groups and are closely related to eating behavior. Therefore, investigating the influencing factors of eating behavior is of great significance for promoting the health behaviors of occupational populations. Objective To clarify the current situation of eating behavior among the occupational populations aged 18 to 60 years in China, and to explore the relationship between work-family conflict, depressive mood, and eating behavior, and to test the mediating role of depressive mood in the relationship. Methods The study used a data set containing occupational populations aged 18 to 60 years extracted from the 2021 Psychology and Behavior Investigation of Chinese Residents. The Work-Family Conflict Scale, the Chinese version of the Sakata Eating Behavior Scale Short Form, and the Patient Health Questionnaire-Depression Scale were used. Potential influencing factors of eating behavior of the occupational populations were evaluated by multiple linear regression. Structural equation modeling was used to analyze the relationships between work-family conflict, depressive mood, and eating behavior, and the Bootstrap method was used to test the mediating effect of depressive mood on the relationship of work-family conflict and eating behavior. Results Among the occupational populations, the proportion of reporting high work-family conflict was 48.4%, and the proportion of reporting mild depression and above was 48.7%. The total score of eating behavior was (16.16±4.64), and the proportion of high abnormal eating behavior tendency was 39.1%. There were significant differences in eating behavior score among different age, educational level, marital status, number of offspring, occupation, smoking, and drinking groups (P<0.05). The partial correlation analysis showed that work-family conflict and depressive mood were positively correlated with abnormal eating behavior (r=0.367, 0.386, P<0.001); work-family conflict was positively correlated with depressive mood (r=0.466, P<0.001). The results of the multiple linear regression showed that depressive mood, work-family conflict, age, smoking, drinking, and education level were associated with eating behavior (P<0.05). The structural equation modeling indicated that work-family conflict positively associated with depressive mood (b=0.529, P<0.001), depressive mood positively associated with abnormal eating behavior (b=0.292, P<0.001), and work-family conflict positively associated with abnormal eating behavior (b=0.270, P<0.001). Depressive mood played a partial mediating role in the relationship between work-family conflict and eating behavior, and the effect value was 0.154 (95%CI: 0.132, 0.179) that accounted for 36.32% of the total effect. Conclusion Work-family conflict could directly affect the eating behavior among occupational populations, and also indirectly affect eating behavior through a mediating effect of depressive mood. Therefore, optimizing the allocation of tasks between work and family, providing psychological support in need, alleviating work-family conflict and depressive mood may improve the eating behavior and mental health of working populations.

Objective: To establish a machine learning-based precision blood donor recruitment model at the county level and assess its generalizability and applicability. Methods: A retrospective study was conducted using blood donation and SMS recruitment data from the Taicang Branch of the Suzhou Blood Center between 2019 and 2024. Multiple machine learning algorithms were employed, including extreme gradient boosting, support vector machine, k-nearest neighbor, logistic regression, decision tree, random forest, and multilayer perceptron. These were combined with techniques such as synthetic minority oversampling, undersampling, and cost-sensitive learning (using MFE and MSFE loss functions). Model parameters were optimized through grid search to identify the best-performing model. Results: In a prospective comparative study against conventional methods, the machine learning models increased the recruitment success rate among high-willingness donors by an average of 129.15%, and the recruitment efficiency per SMS improved by 125.02% compared with the traditional method. Under full-scale SMS sending, the recruitment rate per SMS increased by 42.61%, and SMS sending efficiency improved by 31.77%, significantly enhancing recruitment performance. Conclusion: This study represents the first application of a machine learning-based precision donor recruitment model at the county-level in China. The precise recruitment framework not only improves recruitment efficiency and reduces recruitment costs but also demonstrates strong scalability and generalizability. It provides a scientific and feasible intelligent pathway to ensure the safety and sustainability of the blood supply.

Objective To understand the real-life experiences of patients with chronic obstructive pulmonary disease(COPD)in disease self-control and to inform clinical nursing practice.Methods From March to May 2024,a phenomenological research method was used to conduct semi-structured interviews with 15 patients with COPD who were either outpatients or inpatients in a tertiary hospital in Suzhou City,China,and the data were analyzed using the Colaizzi 7-step analysis method.Results Totally 3 themes and 9 sub-themes were extracted,namely self-control challenges due to cognitive deficits(lack of knowledge leads to ambiguous control direction;cognitive bias hinders control strategy formulation;negative perception leads to control avoidance),weakening trend of self-control behaviors(decision-making conflicts between immediate indulgence and delayed gratification;lack of reinforcement mechanisms leads to psycho-emotional depletion;external temptations lead the self to imitate bad behavior),urgent need for multiple supports to help with self-control(the desire for continuity and stability of family support,the need for professionalism and accuracy of healthcare guidance,and the expectation for rationality and matching of resource allocation).Conclusion Healthcare professionals should pay attention to the real experience of COPD patients in the process of disease self-control,help them effectively deal with the challenges of disease self-control,strengthen self-control behaviors,and satisfy their diversified needs by strengthening the support of families,professionals,and the community to improve poor outcomes and reduce the cost of healthcare services.

Objective To understand the real-life experiences of patients with chronic obstructive pulmonary disease(COPD)in disease self-control and to inform clinical nursing practice.Methods From March to May 2024,a phenomenological research method was used to conduct semi-structured interviews with 15 patients with COPD who were either outpatients or inpatients in a tertiary hospital in Suzhou City,China,and the data were analyzed using the Colaizzi 7-step analysis method.Results Totally 3 themes and 9 sub-themes were extracted,namely self-control challenges due to cognitive deficits(lack of knowledge leads to ambiguous control direction;cognitive bias hinders control strategy formulation;negative perception leads to control avoidance),weakening trend of self-control behaviors(decision-making conflicts between immediate indulgence and delayed gratification;lack of reinforcement mechanisms leads to psycho-emotional depletion;external temptations lead the self to imitate bad behavior),urgent need for multiple supports to help with self-control(the desire for continuity and stability of family support,the need for professionalism and accuracy of healthcare guidance,and the expectation for rationality and matching of resource allocation).Conclusion Healthcare professionals should pay attention to the real experience of COPD patients in the process of disease self-control,help them effectively deal with the challenges of disease self-control,strengthen self-control behaviors,and satisfy their diversified needs by strengthening the support of families,professionals,and the community to improve poor outcomes and reduce the cost of healthcare services.

Since the 1970s, the laboratory animal industry in Suzhou has gone through five stages: its inception, emergence, growth, transformation, and scaling up. It began with the manufacturing of caging equipment for laboratory animals, initially by imitation and later through independent innovation. The industry evolved from sporadic factories to clustered enterprises, gradually growing and opening up the export market for caging equipment. In the 21st century, with industrial upgrading and transformation, purification systems and related products began to develop, and industry organizations emerged. As China has modernized, the rise of automation and intelligent production has led to technological innovation in enterprises and the emergence of various outsourcing services in the laboratory animal industry, driving the large-scale development of the industrial chain. After nearly half a century of growth, the laboratory animal industry in Suzhou has formed a complete industrial chain, including the production of laboratory animals, caging equipment, feed and bedding materials, design and construction of laboratory animal facilities, quality testing of laboratory animals and environments, and animal experimentation services. Laboratory animal breeding equipment, the core of the industry, has reached the level of developed countries, and the industry's scale and influence are unmatched in China. Since the 21st century, biopharmaceuticals have become the "No.1 industry" in the development of Suzhou. With government support, the guidance of the local economy, and the assistance from universities and research institutes, the animal experiment outsourcing industry has begun to cluster in Suzhou. The continuous influx of CROs has driven the construction of large-scale laboratory animal facilities, and key research projects have been initiated, significantly enhancing the industry's R&D capabilities. The Suzhou laboratory animal industry has quickly expanded alongside the "No. 1 industry," creating a unique "Suzhou Path" for laboratory animals. Over nearly fifty years, the laboratory animal industry in Suzhou has been essential to the rapid development of the biopharmaceutical industry in Suzhou and China.

The initiative and enthusiasm of medical staff in teaching work are the sources of improving the quality of clin-ical teaching.Stimulating the teaching enthusiasm of clinical teachers is an important connotation of the sustainable and high-quality development of teaching hospital.This article aims to establish a point-based teaching performance evaluation system to evaluate clinical teachers,stimulate the enthusiasm of medical staff to participate in clinical teaching activities,and promote clin-ical standardization through teaching.

AIM:This study aims to explore the impact of Escherichia coli(E.coli)high-pathogenicity island(HPI)on pyroptosis and intestinal inflammation.METHODS:Kunming mice and IPEC-J2 cells(porcine small intesti-nal epithelial cells)were treated with HPI-containing E.coli strain(HPI+),HPI-deleting E.coli strain(ΔHPI),or lipo-polysaccharide(LPS).The intestinal lactate dehydrogenase(LDH)activity,superoxide dismutase(SOD)activity,IgA expression and secretory IgA(SIgA)content were assessed in mice.The expression of key regulatory factors in the nucleo-tide-binding oligomerization domain-like receptor protein 3(NLRP3)/caspase-1 signaling pathway-related proteins in mouse intestinal tract and IPEC-J2 cells was analyzed by RT-qPCR,immunohistochemical staining and Western blot.The levels of interleukin-1β(IL-1β)and IL-18 in mouse serum and IPEC-J2 cell culture supernatants were measured by ELISA.The pivotal role of NLRP3 in HPI+infection was confirmed by silencing NLRP3 in IPEC-J2 cells using siRNA.RE-SULTS:The HPI+infection markedly decreased SOD activity,increased IgA+B cell count,and induced the LDH release and SIgA secretion in the mouse intestine compared with ΔHPI infection.The results of ELISA,HE staining and TUNEL staining indicated that E.coli HPI triggered DNA damage,tissue injury and inflammation in mouse intestinal epithelial cells.Western blot revealed an increase in intestinal gasdermin D N-terminal fragment(GSDMD-N)protein level with HPI+infection compared with ΔHPI infection.E.coli HPI significantly up-regulated mRNA and protein expression of NLRP3,apoptosis-associated speck-like protein containing a caspase recruitment domain(ASC),caspase-1,GSDMD,IL-1β and IL-18 in mouse intestinal tissues and IPEC-J2 cells,accompanied by the elevated secretion of IL-1β and IL-18.The confo-cal microscopy demonstrated an enhanced assembly of the NLRP3 inflammasome with HPI+infection compared with ΔHPI infection,leading to colocalization of NLRP3 and caspase-1.Furthermore,NLRP3 silencing in IPEC-J2 cells attenuated E.coli HPI-induced cell inflammation,damage,and NLRP3/caspase-1 signaling pathway activation.CONCLUSION:The presence of HPI enhances the virulence of E.coli and exacerbates intestinal inflammation.Moreover,pyroptosis,regu-lated by the NLRP3/caspase-1 signaling pathway,plays a pivotal role in the intestinal injury induced by E.coli HPI.

Objective:In order to provide guidance strategies for the establishment and application of self-report inventory in nursing research, we discussed the mental response model regarding tested nurses during its application.Methods:From September to November 2020, based on the grounded theory, we conducted semi-structured interviews for 9 tested nurses, who were from Qilu Hospital of Shandong University and Jinan Central Hospital, and data were analyzed to extract the psychological response topic.Results:A response model for tested nurses, which formed three psychological responses that factored in exam motivation, exam situation and individual will was built.Conclusion:The present study reveals the correlations among exam motivation, exam situation, individual will and psychological responses during the application of self-report inventory on tested nurses, which could provide references for the establishment and application of self-report scale in nursing research.

Objective:To evaluate the role of mitochondrial calcium homeostasis in hyperoxia-induced injury to alveolar epithelial cells typeⅡ(AECⅡ) in rats.Methods:Rat AECⅡcell lines (RLE-6TN) were randomly divided into 3 groups ( n=18 each) using a random number table method: nomoxia group (group C), hyperoxia group (group H), and hyperoxia plus ruthenium red group (group HR). The cell lines were cultured in a conventional incubator for 4 h in group C. The cell lines were incubated in an incubator with 90% O 2 for 4 h in group H. In group HR, ruthenium red 2 μmol/L was added first, and then the cell lines were incubated in an incubator with 90% O 2 for 4 h. After the treatment, the Ca 2+ concentrations in mitochondria were measured using the mitochondrial Ca 2+ specific fluorescent probe Rhod-2-AM, the ROS level was measured using the fluorescent probe DCFH-DA, and the cell morphology and mitochondrial ultrastructure were observed. Results:Compared with group C, the Ca 2+ concentrations in mitochondria and ROS level were significantly increased in H and HR groups ( P<0.05). Compared with group H, the Ca 2+ concentrations in mitochondria and ROS level were significantly decreased in group HR ( P<0.05). Compared group C, the cell volume was reduced, the morphology was shrunken round, the cell arrangement was loose, the mitochondrial double-layer membrane structure was broken, and the mitochondrial cristal fragments were observed in group H. Compared with group H, the cell morphology was significantly improved, and the slight damage to mitochondrial double-layer membrane structure was found, and the structure of mitochondrial cristae was normal in group HR. Conclusion:Mitochondrial calcium homeostasis is involved in the pathophysiological process of hyperoxia-induced injury to AECⅡ in rats.