Background Work alienation is a subjectively negative psychological state characterized by detachment from one's job and its environment. Due to heavy workloads, high-intensity tasks, low compensation, as well as pressures related to promotion, nurses are particularly susceptible to work alienation. Objective To meta-analyze the primary factors affecting work alienation of nurses in China, providing an evidence-based foundation for improving nursing management and nurses' physical and mental health. Methods A systematic search was conducted across multiple databases, including PubMed, Embase, the Cochrane Library, Web of Science, CNKI, VIP, Wanfang Data, and DBM, for cross-sectional studies on work alienation and its influencing factors among nurses in China published from inception to December 2024. Two researchers independently conducted literature screening, data extraction, and risk of bias assessment for the included studies. Meta-analysis was performed using Stata 15.0 and RevMan 5.4 software. Pooled effect sizes were calculated using either fixed-effects or random-effects models based on the magnitude of heterogeneity. Results A total of 27 studies involving 13 028 nurses were included in the meta-analysis, from which 11 influencing factors of work alienation were identified. The pooled score for work alienation among nurses in China was 34.79 (95%CI: 32.56, 37.01). Subgroup analysis revealed that the emergency department reported the highest score (36.81, 95%CI: 31.64, 41.98), followed by the intensive care unit (34.99, 95%CI: 32.27, 37.72) and internal medicine department (33.90, 95%CI: 29.10, 38.71). Significant factors influencing work alienation included length of work experience [standardized mean difference (SMD)=0.32, 95%CI: 0.02, 0.61], professional title (SMD=0.30, 95%CI: 0.16, 0.44), monthly income (SMD=0.38, 95%CI: 0.14, 0.62), psychological capital (SMD=–0.41, 95%CI:–0.52, –0.29), work stress (SMD=0.54, 95%CI: 0.49, 0.58), attitude toward aggression and violence management (SMD=–0.38, 95%CI:–0.44, –0.32), and organizational climate (SMD=–0.47, 95%CI: –0.57, –0.36) (P <0.05). Sensitivity analysis confirmed the robustness of the meta-analysis results, and no significant publication bias was detected. Conclusion Nurses in China exhibit a high level of work alienation, particularly in high-acuity settings like emergency and intensive care unit departments compared to general departments. Shorter work experience (<5 years), lower professional title, lower monthly income (<5 000 CNY), and greater work stress are positively correlated with work alienation. In contrast, psychological capital, proactive attitudes toward managing aggression and violence, and a supportive organizational climate are negatively correlated. These findings indicate a need for nursing managers to develop targeted strategies based on these multifaceted factors to mitigate alienation among nursing staff.

and Relevance: Evidence from the literature suggests that, when integrated appropriately, simulation technologies, digital learning environments, and AI-assisted tools collectively enhance the key elements of veterinary training. These approaches can support safer clinical practice, help standardize skill development, and broaden access to quality training, particularly in resource-limited settings. Instead of hypothesizing new mechanisms, this review uses current evidence to highlight practical implications for curriculum design and clinical preparedness. Continued investment in faculty development, ethical use of AI, and infrastructure is essential for achieving sustainable, technology-enhanced veterinary education.

Objective To explore the predictive value of different degrees of delirium after off-pump coronary artery bypass grafting (OPCABG) for perioperative myocardial infarction (MI). Methods A retrospective analysis was conducted on the clinical data of patients who underwent OPCABG in the First Department of Cardiac Surgery at the First Hospital of Hebei Medical University between April 2018 and March 2024. Patients were divided into a mild delirium group, a moderate delirium group, and a severe delirium group based on the degree of delirium, and into a MI group and a non-MI group based on the occurrence of perioperative MI. Logistic regression analysis was used to investigate the predictive factors for secondary MI after OPCABG. The predictive value of different degrees of postoperative delirium for secondary perioperative MI was assessed using receiver operating characteristic (ROC) curves. Results A total of 436 patients were included, with 211 males and 225 females, and a median age of 51.00 (44.00, 57.75) years. Delirium occurred in 139 patients, with 52 in the mild delirium group, 29 in the moderate delirium group, and 58 in the severe delirium group. There were 101 patients in the MI group and 335 patients in the non-MI group. Logistic regression analysis showed that severe delirium was an independent predictor of secondary MI after OPCABG [OR=23.979, 95%CI (11.572, 49.691), P<0.001]. ROC curve analysis revealed that the area under the ROC curve for predicting perioperative MI by severe postoperative delirium was 0.709, with a sensitivity of 0.546 and a specificity of 0.964. Conclusion Severe postoperative delirium can be used as an indicator to predict secondary MI after OPCABG.

Objective To compare the efficacy and safety of gemcitabine combined with conventional-dose cisplatin(70 mg/m2,day 2)versus split-dose cisplatin(35 mg/m2,days 1 and 8)in neo-adjuvant therapy for muscle-invasive bladder cancer(MIBC).Methods The clinical data of 33 MIBC patients receiving(gemcitabine+cisplatin,GC)-based neoadjuvant chemotherapy in the Department of Urology of Xinhua Hospital,during Jan.2021 and Aug.2024 were retrospectively analyzed,including 18(54.5％)patients treated with a conventional-dose regimen(GC group),and 15(45.5％)patients treated with a split-dose regimen(GCs group).The efficacy endpoints and incidence/severity of adverse reactions were compared between the two groups.Results Baseline characteristics were well-balanced between the two groups(P＞0.05).No significant differences were observed in the complete response rate(CR:33.3％vs.22.2％),objective response rate(ORR:66.7％vs.61.1％),or disease control rate(DCR:80.0％vs.88.9％)between the GCs and GC groups(P＞0.05).The GCs group exhibited a significantly lower incidence of chemotherapy-related renal injury(6.7％vs.38.9％,P＜0.05),while the occurrence of other adverse events was comparable between the two groups.Notably,the GCs group demonstrated significantly attenuated nephrotoxicity,as evidenced by markedly smaller changes in estimated glomerular filtration rate[eGFR:(4.5±4.7)％vs.(18.0±11.8)％]and serum creatinine[SCr:(5.7±5.6)％vs.(20.2±19.5)％]compared to the GC group(P＜0.05).Conclusion Compared with the conventional-dose regimen,the split-dose regimen maintains equivalent clinical efficacy of GC-based neoadjuvant chemotherapy while significantly reducing chemotherapy-related nephrotoxicity,thereby providing MIBC patients with a safer therapeutic option.

This study introduces the development of a 96-channel genetic analyzer and its application in forensic medicine.The instrument integrates a fluorescence excitation system,a fluorescence spectral imaging system,and a data acquisition and analysis system,enabling the simultaneous detection of 96 DNA samples.Performance validation in forensic science demonstrated that the analyzer can resolve DNA fragments differing by 1 bp,with accurate DNA typing and a detection sensitivity of 0.125 ng,while maintaining good repeatability.The system can effectively process various forensic samples,including blood cards,saliva cards,and shed cell swabs.In practical applications,the analyzer has significantly improved detection efficiency and shown excellent performance.Looking forward,by broadening the detection range of the nine-color fluorescence spectrum and enhancing the level of data intelligence,the instrument is expected to further strengthen its high-throughput multi-locus detection capability and efficiency,providing more powerful technical support for forensic DNA analysis.

Objective To observe the effect of Shaoyao Gancao decoction combined with electroacupuncture on poststroke spasticity in rats.Methods Healthy male Sprague-Dawley(SD)rats were randomly divided into blank group,model group,electroacupuncture group,baclofen group,electroacupuncture combined with high dose of Chinese medicine group,electroacupuncture combined with middle dose of Chinese medicine group,electroacupuncture combined with low dose of Chinese medicine group,high dose of Chinese medicine group,middle dose of Chinese medicine group and low dose of Chinese medicine group,with 10 rats in each group.Open field test and integrated electromyography of quadriceps femoris were tested before modeling and on the 1st,3rd and 6th day after modeling.The samples were taken on day 6.The expression of inflammatory factors in M1 cortex were detected by liquid phase factor technique.The expression of brain-derived neurotrophic factor(BDNF),synaptophysin(SYP),postsynaptic density 95(PSD95),Nestin and β-catenin in M1 cortex was detected by ELISA and Western blot.Results Compared with model group and other intervention groups,the electroacupuncture combined with middle dose of Chinese medicine group make best total distance(P=0.021)and average speed(P=0.021)in open field test on 6th day.make better in integrated electromyography of quadriceps femoris test(P=0.006)on day 3,have higher Ⅱ type fiber ratio,promote IL-10(P=0.006),GMcsf(P=0.045)secretion.ELISA and Western blot also showed that this group behave better in the test of BDNF,SYP,PSD95,Nestin and β-catenin.Conclusion Electroacupuncture combined with Shaoyao-Gancao decoction groups were effective in the treatment of poststroke spasticity in rats,and its mechanism may be to improve the inflammatory environment of the injured site,promote the proliferation of neural stem cells and synaptic regeneration.

Objective:To investigate the relationship between empathy and meaning in life among medical students,and explore the mediating role of altruistic behavior.Methods:A total of 581 medical students were recrui-ted.They were assessed with the Interpersonal Reactivity Index-C(IRI-C),Altruistic Behavior Questionnaire of College Students(ABQ-CS),and Quadripartite Existential Meaning Scale(QEMS).The bootstrap method was used to test the hypothesized mediating effect.Results:The scores of IRI-C were positively correlated with the scores of ABQ-CS and QEMS(r=0.45,0.21,Ps＜0.001).The scores of ABQ-CS were positively correlated with the QEMS scores(r=0.46,P＜0.001).Altruism was a complete mediator between empathy and meaning in life,the indirect effect was 0.20(95％CI:0.15-0.26).Conclusion:This study reveals the underlying connections a-mong altruistic behavior,empathy,and meaning in life among medical students,suggesting that interventions targe-ting empathy and altruistic behavior may enhance their meaning in life.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Objective To compare the efficacy and safety of gemcitabine combined with conventional-dose cisplatin(70 mg/m2,day 2)versus split-dose cisplatin(35 mg/m2,days 1 and 8)in neo-adjuvant therapy for muscle-invasive bladder cancer(MIBC).Methods The clinical data of 33 MIBC patients receiving(gemcitabine+cisplatin,GC)-based neoadjuvant chemotherapy in the Department of Urology of Xinhua Hospital,during Jan.2021 and Aug.2024 were retrospectively analyzed,including 18(54.5％)patients treated with a conventional-dose regimen(GC group),and 15(45.5％)patients treated with a split-dose regimen(GCs group).The efficacy endpoints and incidence/severity of adverse reactions were compared between the two groups.Results Baseline characteristics were well-balanced between the two groups(P＞0.05).No significant differences were observed in the complete response rate(CR:33.3％vs.22.2％),objective response rate(ORR:66.7％vs.61.1％),or disease control rate(DCR:80.0％vs.88.9％)between the GCs and GC groups(P＞0.05).The GCs group exhibited a significantly lower incidence of chemotherapy-related renal injury(6.7％vs.38.9％,P＜0.05),while the occurrence of other adverse events was comparable between the two groups.Notably,the GCs group demonstrated significantly attenuated nephrotoxicity,as evidenced by markedly smaller changes in estimated glomerular filtration rate[eGFR:(4.5±4.7)％vs.(18.0±11.8)％]and serum creatinine[SCr:(5.7±5.6)％vs.(20.2±19.5)％]compared to the GC group(P＜0.05).Conclusion Compared with the conventional-dose regimen,the split-dose regimen maintains equivalent clinical efficacy of GC-based neoadjuvant chemotherapy while significantly reducing chemotherapy-related nephrotoxicity,thereby providing MIBC patients with a safer therapeutic option.

Objective To evaluate the value of risk score model based on clinical and multimodal ultrasound features for differentiating benign and malignant breast imaging reporting and data system(BI-RADS)4A lesions in breast.Methods Totally 177 patients with BI-RADS 4A lesions detected by multimodal breast ultrasound were prospectively enrolled,and the patients were divided into training set(n=123)and test set(n=54)at the ratio of 7∶3.Univariate and multivariate logistic regression analyses were used to analyze patients'clinical,gray-scale ultrasound,CDFI and elastography ultrasound parameters of lesions,and the independent risk factors for differentiating benign and malignant BI-RADS 4A lesions in breast were screened,so as a risk score model was constructed.Based on the results of sungical pathology or follow-up,the cut-off value of the model for differentiating benign and malignant BI-RADS 4A lesions in breast was obtained by receiver operating characteristic(ROC)curve,and the patients were divided into high-risk and low-risk subgroups according to the cut-off value,and the efficacy of the model was evaluated.Results Among 177 cases,39 were with benign lesions and 138 were with malignant lesions.Patients'age＞58 years,diameter of lesion＞15.1 mm,lesions with irregular shape,lesions with grade 1 or 2 of blood flow and standard deviation of sound touch elastography of a 2 mm circular area around the lesion(shell)(shell-STESD)＞16.33 kPa were all independent risk factors of malignant BI-RADS 4A lesions in breast.The cut-off value of risk score model for differential diagnosis was 6.5 points,and its sensitivity was 84.69%(83/98)and specificity was 88.00%(22/25)in distinguishing high-risk and low-risk subgroups in training set,while its sensitivity was 77.50%(31/40)and specificity was 71.43%(10/14)in test set.Conclusion Risk score model based on clinical and multimodal ultrasound features could effectively differentiate benign and malignant BI-RADS 4A lesions in breast.