The welfare and ethics of laboratory animals are the ethical principles and behavioral norms that need to be followed in conducting animal-based scientific research, breeding and managing laboratory animals, and supervising and regulating such activities. The level of protection of laboratory animal welfare and ethics is closely related to the development of science and technology, which has become a widely recognized international consensus. At present, Guangdong Province is accelerating the construction of a high-level science and technology innovation province and the Guangdong-Hong Kong-Macao Greater Bay Area International Science and Technology Innovation Center. Guangdong Province should rely on its advanced governance capacity in the field of laboratory animal science and technology ethics to promote the high-quality development of its laboratory animal science and technology sector. Based on the management laws, regulations, and institutional mechanisms of laboratory animals in China, this paper explores the optimization of the laboratory animal science and technology ethics governance system, which includes the institutional guarantees, responsibility systems, ethical review and supervision mechanisms, and education and outreach. Through methods such as literature research, questionnaire surveys, and interview investigations, an empirical study of the laboratory animal science and technology ethics governance system in Guangdong Province has been conducted. Analysis of literature and research results shows that Guangdong Province has basically established a laboratory animal management system, collaboration mechanism, supervision mechanism, and education and training system that meet the current requirements of the laboratory animal science and technology ethics governance system in China. However, there are still problems such as an incomplete laboratory animal science and technology ethics supervision mechanism, an underdeveloped operation mechanism of review institutions, insufficient attention paid by laboratory animal units to the ethical review of animal experiments, inconsistent ethical review standards, and a lack of professional ethical education and training for ethics review personnel. Therefore, optimization measures such as improving the laboratory animal science and technology ethics review system, strengthening supervision and inspection, further strengthening the accountability of responsible entities, formulating review norms, and enhancing hierarchical and classified education and training are proposed, to provide a theoretical basis for promoting the normalized and long-term governance of laboratory animal science and technology ethics in Guangdong Province.

Abstract To clarify the service targets, service contents, and safeguard mechanisms of the basic public service program for student vision health management, the study grounded in the current status of child and adolescent myopia prevention and control in China and integrated with the practical experience and innovative practices of Wuhan National Demonstration Area for Student Vision Health Management, takes education as the main thread and schools as the base, consolidating resources from multiple stakeholders including education administrative departments, schools, families, and professional technical service institutions. Centering on four core components—vision health education, monitoring and record keeping, risk prevention and control, and dynamic management, the study constructs a multi tiered basic public service system for vision health management of primary and secondary school students. It further proposes the use of an intelligent management platform and a "three tier color coded early warning" mechanism (red, yellow, blue) to prevent and control student myopia at the source, providing schools with replicable and operable implementation pathways to enhance the level of student vision health management.

Yttrium-90(90Y)selective internal radiation therapy(SIRT)is an emerging modality for the treatment of hepatocellular carcinoma(HCC),leveraging the nuclide 90Y to deliver targeted radiation therapy.90Y has a long half-life and can be used to selectively ablate tumor cells by high-energy beta rays.It has high biological effectiveness and robust local control capabilities.In recent years,with the continuous advancement of basic and clinical research,the application of 90Y-SIRT in the conversion treatment of unresectable HCC(uHCC)has made significant progress.However,challenges remain in the clinical application of 90Y-SIRT,including how to improve the efficacy of conversion therapy and how to optimize therapy regimens.This review aims to summarize the research progress of90Y-SIRT in the conversion therapy of uHCC.

Objective To develop models for predicting response to chemotherapy combined with immunotherapy in patients with esophageal squamous carcinoma with various machine learning algorithms,and then select the optimal model.Methods A retrospective study was performed for 174 patients with esophageal squamous cell carcinoma undergoing chemotherapy combined with immunotherapy admitted in Department of Thoracic Surgery of the First Affiliated Hospital of Army Medical University from January 2022 to December 2023.The CT scans and clinical information were collected before treatment.They were randomly divided into a training set(n=122)and a testing set(n=52)in a ratio of 7∶3.CT radiomic features were extracted and selected,and then 5 machine-learning algorithms were employed to establish the prediction models,including radiomics model and clinical-radiomics model.Five-fold cross-validation was conducted on the training set,and the performance of the prediction models was evaluated on the testing set using receiver operating characteristic(ROC)curve and the F1 score.The best-performing model was further explained using local interpretable model-agnostic explanations(LIME)algorithm.Results Among the 174 patients,115(66.1%)achieved clinical remission.From the clinical information and CT images,1 clinical features and 10 radiomic features were identified.The area under of ROC curve(AUC)for the radiomics and clinical-radiomics models was 0.750(95%CI:0.616～0.883),and 0.766(95%CI:0.637～0.895),respectively.The F1 score of the optimal clinical-radiomics model was 0.829.LIME algorithm indicated that this best model demonstrated reliability in predicting individual samples.Conclusion The clinical-radiomics prediction model based on machine learning algorithm performs well,and can provide a reference for doctors'clinical decision-making by predicting the response to chemotherapy combined with immunotherapy in patients with esophageal squamous cell carcinoma.

[Purpose]To analyze the incidence and mortality of gastric cancer in Zhejiang cancer registration areas in 2021,and trends from 2000 to 2021.[Methods]The data of gastric cancer were obtained from Zhejiang cancer registration areas.The crude incidence/mortality rates,age-specific rates,and age-standardized incidence/mortality rates by Chinese standard population(ASRC)and the world standard population(ASRW)were calculated.The temporal trends were ana-lyzed by calculating annual percentage change(APC)and average annual percentage change(AAPC).[Results]A total of 7 602 new cases and 4 178 deaths of gastric cancer were reported in 2021.The incidence and mortality rates of gastric cancer in men were significantly higher than those in women;the incidence rate in urban areas was significantly higher than that in rural areas,while the mortality was slightly lower than that in rural areas.From 2000 to 2021,the ASRC of inci-dence rate decreased from 16.80/105 to 16.08/105(without statistical significance):an upward trend was observed from 2000 to 2009,whereas a downward trend became apparent from 2009 to 2021.From 2000 to 2021 the ASRC of mortality rate decreased from 13.59/105 to 8.02/105 with an AAPC of-2.62％(P＜0.001).The decline rate of female mortality rate(AAPC=-2.68％,95％CI:-3.61％～-1.68％,P＜0.001)was slightly higher than that of male(AAPC=-2.44％,95％CI:-3.06％～-1.61％,P＜0.001).[Conclusion]In 2021,both the incidence and mortality rates of gastric can-cer in Zhejiang Province were lower than the national average in China,which ranked 6th and 4th among all types of cancer.From 2000 to 2021,the overall burden of gastric cancer in Zhejiang Province showed a downward trend.

BACKGROUND:Research has shown that vanillic acid has anti-inflammatory and anti-oxidative stress effects,but it is unclear whether it has a protective effect on endplate chondrocytes.OBJECTIVE:To explore the effect and mechanism of vanillic acid on endplate chondrocytes under inflammatory microenvironment.METHODS:(1)Primary endplate chondrocytes were isolated from the intervertebral disc of SD rats and identified by toluidine blue staining and collagenⅡ immunofluorescence.(2)The CCK-8 assay was employed to detect the effects of interleukin-1β and vanillic acid on the proliferation activity of endplate chondrocytes,in order to determine the concentration of vanillic acid for subsequent cell treatment.(3)An inflammatory microenvironment was simulated by adding 10 ng/mL interleukin-1β to the culture medium,and the endplate chondrocytes were treated with low,medium,and high mass concentrations of vanillic acid.The expression levels of inflammatory markers and extracellular matrix proteins were detected by western blot assay and immunofluorescence.(4)The expression of nuclear factor κB signaling pathway-related proteins was detected by western blot assay.RESULTS AND CONCLUSION:(1)The morphology of endplate chondrocytes in adherent culture was pike or triangular in shape,positive for toluidine blue staining and immunofluorescence for collagen Ⅱ,indicating that the experimentally extracted cells were endplate chondrocytes.(2)The CCK-8 assay results showed that treatment with 2.5,5,10,and 20 μg/mL vanillic acid for 24 hours did not significantly inhibit the proliferation of endplate chondrocytes.Compared with the interleukin-1β group,the viability of endplate chondrocytes treated with 5,10,and 20 μg/mL vanillic acid for 24 hours was significantly increased(P＜0.05).Therefore,5,10,and 20 μg/mL vanillic acid was selected as the low,medium,and high dose groups for subsequent treatment of endplate chondrocytes.(3)Compared with the model group(complete medium containing 10 ng/mL interleukin-1β),the expression of NOD-like receptor thermal domain associated protein 3(NLRP3),matrix metalloproteinase 13,matrix metalloproteinase 3,and tumor necrosis factor alpha protein in the endplate chondrocytes of the low,medium,and high doses of vanillic acid groups were significantly reduced(P＜0.05).(4)Compared with the model group,the protein expression of aggrecan and collagen Ⅱ in the endplate chondrocytes of the low,medium,and high dose groups of vanillic acid significantly increased(P＜0.05).(5)Compared with the model group,the protein expression of phospho-nuclear factor κB and phospho-inhibitor of nuclear factor κB in the endplate chondrocytes of the low,medium,and high dose groups of vanillic acid was significantly reduced(P＜0.05).(6)The above results indicate that vanillic acid may alleviate the inflammatory response and extracellular matrix degradation induced by interleukin-1β in rat endplate chondrocytes by inhibiting the activation of the nuclear factor κB signaling pathway.

Objective:To investigate the clinical features, diagnostic and therapeutic methods, and prognosis of patients with acute myeloid leukemia (AML) who are positive for multiple genes.Methods:The clinical data of a 35-year-old male AML patient, who was admitted to The 940 th Hospital of the PLA Joint Logistics Support Force on October 10, 2021, were analyzed based on related literature. Results:The patient was admitted due to rhinorrhea for 1 month and sore throat with cervical lymph node enlargement for 3 days. Based on laboratory test results, the patient was diagnosed with acute myelomonocytic leukemia with eosinophilia and mutations in the core-binding factor β subunit gene ( CBFβ-MYH11), located on the long arm of chromosome 16, as well as mutations in the Wilms' tumor 1 gene ( WT1), the stem cell factor receptor gene ( KIT), and the neuroblastoma RAS viral oncogene homolog ( NRAS). The patient was treated multiple times with a regimen of idarubicin combined with cytarabine (Ara-C), achieving complete remission with negative minimal residual disease detection. The patient tolerated the treatment well. However, after the fourth cycle of chemotherapy with Ara-C, the patient developed grade Ⅳ bone marrow suppression. Following treatment to increase white blood cells and platelets, as well as blood component transfusions, the patient's condition improved. Subsequently, after receiving intensified Ara-C treatment, the patient's condition stabilized. Conclusions:AML with a positive CBFβ- MYH11 fusion gene has a favorable prognosis. However, the presence of a concomitant KIT mutation and a high proportion of primitive white blood cells in the peripheral blood at initial diagnosis may affect the prognosis of this type of AML. Additionally, WT1 is an independent prognostic factor for AML. RAS gene mutations do not impact overall survival, disease-free survival, complete remission, or relapse rates.

Esophageal cancer is a common upper gastrointestinal cancer with high rates of morbidity and mortality,resulting in a poor prognosis.Treatment options for it primarily depends on the TNM stage.Precise stage diagnosis and prognosis evaluation can provide important reference for doctors to choose appropriate treatment strategies.Radiomics can extract a large number of quantitative features from medical images,revealing information about lesions that may be hidden from human doctors.This approach can effectively evaluate the heterogeneity of tumors in an objective and non-destructive manner,making it a valuable tool in the diagnosis,classification and prognosis evaluation of various types of cancer.This paper analyzes the recent researches and applications at home and abroad related to the clinical stage diagnosis and prognosis evaluation of esophageal cancer.By exploring current research statuses and progress,as well as potential future research directions,this paper aims to provide a precise reference for the stage diagnosis and prognosis evaluation of esophageal cancer that can guide doctors in making reasonable treatment decisions.

Objective:To investigate the current situation of professional identity and work readiness of newly graduated nursing students, explore the correlation between professional identity and work readiness, and provide a reference for promoting their professional development.Methods:From May to September 2023, a total of 584 newly graduated nursing students who were about to participate in standardized residency training were selected from 7 tertiary hospitals in the main urban area of Chongqing using cluster sampling. The general information questionnaire, Nurse Professional Identity Scale, and Nurse Work Readiness Scale were used for data collection. SPSS 23.0 was used to analyze the current situation of professional identity and work readiness among the participants.Results:A total of 536 valid questionnaires were collected, with an effective recovery rate of 91.78%. The professional identity scores of newly graduated nursing students ranged from 23 to 83 (66.94±11.38) points and the work readiness scores ranged from 115 to 370 (271.47±44.54) points, which were positively correlated ( r=0.673, P<0.001). Hierarchical regression analysis showed that professional identity entered into the influencing factor model of work readiness ( F=38.350, P<0.001), which could independently explain 50.80% of the variation in work readiness. Conclusions:The professional identity and work readiness of newly graduated nursing students are at moderate levels. Nursing educators and hospital nursing managers should pay attention to the assessment of their professional identity and work readiness, adopt scientific and effective methods to improve their work readiness, ensure a smooth professional transition, and promote their career development.

An automated identification method for adolescent schizophrenia based on brain electroencephalogram(EEG)entropy features is proposed for further improving the diagnostic accuracy of adolescent schizophrenia.The raw EEG signals are decomposed into 5 commonly used rhythm bands:Delta,Theta,Alpha,Beta,and Gamma.The permutation entropy,fuzzy entropy,and sample entropy are extracted from each rhythm band and then organized into a feature matrix structured by electrode location×frequency band.Finally,an ECA-CNN model integrating efficient channel attention(ECA)and convolutional neural network(CNN)is constructed for feature classification and realizing the automated identification of adolescent schizophrenia.The results demonstrate that the proposed ECA-CNN model has higher recognition accuracy than the traditional machine learning models,achieving an accuracy of 99.08%,a sensitivity of 99.27%,a specificity of 98.85%,a precision of 99.01%,a F1 score of 99.14%,and a Kappa coefficient of 0.9814.This study provides a new idea and method for the diagnosis of adolescent schizophrenia.