Laboratory animals are the "living" tools of medical research. Through animal experiments, people can gain continuous insights into the laws of life, reveal the essence of diseases, develop vaccines and drugs for prevention and treatment, and play an important role in the technological development of fields related to human health. The environmental conditions of laboratory animals have a direct impact on their health, quality, and the results of animal experiments. The higher the degree of environmental control, the more reliable the experimental results are in terms of quality. Therefore, environmental control of laboratory animal facilities is important for ensuring that laboratory animals live under required conditions, which is a key factor for conducting effective animal experiments. This article analyzes the current status of environmental testing of laboratory animal facilities in Sichuan Province, briefly summarizing their number, area, and other basic information, and provides detailed statistics on the ability of institutions to conduct environmental testing for laboratory animal facilities in Sichuan Province. It also summarizes the testing requirements for laboratory animal facility environments based on national standards, regulatory requirements, and the quality control needs of facility users. In the analysis of testing indicators for laboratory animal facilities, based on testing data from 40 laboratory animal facilities in Sichuan Province, it was found that static pressure difference is the indicator most prone to non-compliance, followed by illumination and air exchange rate. Using barrier environments as examples, common problems in the process of environmental testing for laboratory animal facilities are summarized in six aspects: testing personnel, instruments, methods, technical materials, testing environment, and reports, and targeted suggestions are proposed. These suggestions help improve environmental control in laboratory animal facilities, and provide practical reference and guidance for relevant testing institutions, as well as laboratory animal producers and users in the industry.

Objective:To evaluate the image quality and radiation dose in contrast-enhanced thoracic-abdominal-pelvic CT using automatic tube voltage modulation (ATVM) coupled with artificial intelligence iterative reconstruction (AIIR) versus routine tube voltage combined with Karl-3D iterative reconstruction (Karl-3D IR), and to determine the optimal noise level for AIIR in contrast-enhanced thoracic-abdominal-pelvic CT.Methods:A total of 100 patients who underwent contrast-enhanced thoracic-abdominal-pelvic CT examination in the Affiliated Hospital of Hebei University from April to October, 2023 were randomly divided into group A and group B using a random number table, with 50 patients in each group. Group A was scanned using ATVM, and images were reconstructed using AIIR with 1-5 noise levels. Group B was scanned using tube voltage 120 kVp and images were reconstructed with Karl-3D IR and noise level 5. The single-to-noise ratio (SNR), contrast-to-noise ratio (CNR), effective dose (E), and size-specific dose estimate (SSDE) were recorded or calculated for all patients or images. Subjective evaluations of all images were performed. The quality of the reconstructed images using AIIR with 1-5 noise levels were compared and the optimal noise level of AIIR for image reconstruction was determined. Image quality and radiation dose were statistically analyzed for Group A (image reconstruction with optimal AIIR noise level) and Group B.Results:The mean SNR and mean CNR of the reconstructed images using AIIR with noise levels 1, 2, and 3 in group A were higher than those using AIIR with noise levels 4 and 5. The images reconstructed using AIIR with noise levels 3 and 4 scored higher in subjective assessment than those reconstructed using AIIR with noise levels 1, 2, and 5. Therefore, noise level 3 was optimal for AIIR in reconstruction of contrast-enhanced thoracic-abdominal-pelvic CT images. The mean SNR, mean CNR, and subjective evaluation score of group A using AIIR with noise level 3 were higher than those of group B using Karl-3D IR with noise level 5 ( P<0.001). The mean SSDE and the mean E of group A were reduced by 46% and 41%, respectively, compared with those of group B. Conclusions:ATVM technology combined with the AIIR algorithm can improve image quality and reduced patient radiation dose in contrast-enhanced thoracic-abdominal-pelvic CT. Noise level 3 is optimal for AIIR in the reconstruction of arterial-phase and venous-phase contrast-enhanced thoracic-abdominal-pelvic CT images.

Objective: To explore the intervention effects of high intensity interval training (HIIT) on glucose metabolism, cortisol (Cor), and sleep quality among college students with comorbid depressive symptoms and obesity, so as to provide a reference for improving sleep quality among college students with comorbid depressive symptoms and obesity. Methods: In March 2023, 45 college students with comorbid depressive symptoms and obesity were recruited and randomly assigned to an exercise group ( n =23) and a control group ( n =22) by random number table method. The exercise group received HIIT intervention for 12 weeks, three times a week, while the control group received no intervention. Blood samples were collected from participants to measure fasting insulin (FINS), fasting blood glucose (FBG), homeostatic model assessment of insulin resistance (HOMA-IR), Cor, and Pittsburgh Sleep Quality Index (PSQI) before and after intervention. Statistical analysis was performed using t-test, repeated measures analysis of variance (ANOVA), simple effect analysis. Results: The repeated measures ANOVA revealed statistically significant time×group interaction effects for body composition (weight, body mass index, percentage of body fat, fat mass, waist to hip ratio), depressive symptoms, PSQI scores and its subdimensions (subjective sleep quality, sleep onset time, sleep efficiency, sleep disorders, daytime dysfunction), as well as FBG, FINS, and HOMA-IR between the exercise group and control group before and after intervention ( F =7.10-53.38, all P <0.05). Simple effect analysis showed that compared to the control group, the exercise group demonstrated significant improvements in body composition (body mass index, fat mass, waist to hip ratio), depressive symptoms, PSQI scores and its sub dimensions (subjective sleep quality, sleep onset time, sleep efficiency, sleep disorders, daytime dysfunction), FBG, FINS, HOMA-IR, and Cor (all P <0.05). Conclusion HIIT can improve the sleep quality of college students with comorbid depressive symptoms and obesity by enhancing glucose metabolism and regulating Cor levels.

Objective To investigate the effect of PIAS3 on glucose fluctuation-induced oxidative stress and mito-chondrial dysfunction in rat cardiomyocytes.Methods H9c2 were cultured in vitro,and divided into normal glucose control group(Control),mannitol-induced osmotic pressure control group(MG),constant high glucose group(HG),intermittent hyperglycemia group(IHG),IHG+siRNA NC group,and IHG+PIAS3 siRNA group.Cell proliferation was assessed using CCK-8 assay.LDH release,MDA and GSH levels,as well as SOD activity,were detected using corresponding kits.Mitochondrial membrane potential was evaluated via JC-1 staining combined with flow cytometry.ROS levels in cells and mitochondria were determined using DCFH-DA and MitoSOX staining,re-spectively.Protein expression of PI3K,p-PI3K,AKT,and p-AKT was analyzed by Western blot.Results Com-pared with the control group,intermittent hyperglycemia promoted oxidative stress and mitochondrial dysfunction,significantly upregulated PIAS3 expression(P＜0.001)and downregulated p-PI3K and p-AKT protein levels(P＜0.001).Knockdown of PIAS3 significantly alleviated oxidative stress and mitochondrial dysfunction induced by glucose fluctuations,and increased p-PI3K and p-AKT protein levels(P＜0.001).Conclusions Knockdown of PIAS3 may alleviate glucose fluctuation-induced oxidative stress and mitochondrial dysfunction in ratcardiomyocytes by activating the PI3K/AKT signaling pathway.

Objective:To clarify the definition and attributes of change fatigue among nurses.Methods:A comprehensive literature search was conducted across both Chinese and international databases, including CINAHL, Cochrane Library, Web of Science, PubMed, ProQuest, ScienceDirect, Springer Link, Wanfang Data, China National Knowledge Infrastructure, VIP, and China Biology Medicine disc, from inception to December 2024. Walker and Avant's classic concept analysis method was adopted.Results:A total of 30 relevant studies were included. The defining attributes of nurse change fatigue include perception of change, negative psychological responses, and passive reactions. Antecedents involve personal and organizational factors, and the consequences affect nurses themselves, patients, and the organization.Conclusions:Concept analysis helps clarify the connotation of nurse change fatigue, enabling managers to identify its features and providing a foundation for future targeted interventions to mitigate fatigue and promote nurses' positive responses to organizational change.

Objective:To evaluate the image quality and radiation dose in contrast-enhanced thoracic-abdominal-pelvic CT using automatic tube voltage modulation (ATVM) coupled with artificial intelligence iterative reconstruction (AIIR) versus routine tube voltage combined with Karl-3D iterative reconstruction (Karl-3D IR), and to determine the optimal noise level for AIIR in contrast-enhanced thoracic-abdominal-pelvic CT.Methods:A total of 100 patients who underwent contrast-enhanced thoracic-abdominal-pelvic CT examination in the Affiliated Hospital of Hebei University from April to October, 2023 were randomly divided into group A and group B using a random number table, with 50 patients in each group. Group A was scanned using ATVM, and images were reconstructed using AIIR with 1-5 noise levels. Group B was scanned using tube voltage 120 kVp and images were reconstructed with Karl-3D IR and noise level 5. The single-to-noise ratio (SNR), contrast-to-noise ratio (CNR), effective dose (E), and size-specific dose estimate (SSDE) were recorded or calculated for all patients or images. Subjective evaluations of all images were performed. The quality of the reconstructed images using AIIR with 1-5 noise levels were compared and the optimal noise level of AIIR for image reconstruction was determined. Image quality and radiation dose were statistically analyzed for Group A (image reconstruction with optimal AIIR noise level) and Group B.Results:The mean SNR and mean CNR of the reconstructed images using AIIR with noise levels 1, 2, and 3 in group A were higher than those using AIIR with noise levels 4 and 5. The images reconstructed using AIIR with noise levels 3 and 4 scored higher in subjective assessment than those reconstructed using AIIR with noise levels 1, 2, and 5. Therefore, noise level 3 was optimal for AIIR in reconstruction of contrast-enhanced thoracic-abdominal-pelvic CT images. The mean SNR, mean CNR, and subjective evaluation score of group A using AIIR with noise level 3 were higher than those of group B using Karl-3D IR with noise level 5 ( P<0.001). The mean SSDE and the mean E of group A were reduced by 46% and 41%, respectively, compared with those of group B. Conclusions:ATVM technology combined with the AIIR algorithm can improve image quality and reduced patient radiation dose in contrast-enhanced thoracic-abdominal-pelvic CT. Noise level 3 is optimal for AIIR in the reconstruction of arterial-phase and venous-phase contrast-enhanced thoracic-abdominal-pelvic CT images.

Objective To explore the potential categories of dyadic psychological capital and related factors among stroke patients and their spouses,in order to inform the improvement of their mental health.Methods Stroke patients and their spouses were recruited in the Neurology Department of 3 tertiary general hospitals from March,2023 to August,2023 by convenience sampling method.The general information questionnaire,Modified Rankin Scale(mRs),Psychological Capital Questionnaire,The Kessler Psychological Distress Scale(K10)and Perceived Social Support Scale(PSSS)were used for investigation.Latent profile analysis was adopted to explore the categories of dyadic psychological capital,and multiple Logistic regression analysis was used to assess the effect of various factors on different categories.Results A total of 232 returned questionnaires(out of the 235)were valid,resulting an effective response rate of 98.7％.Stroke patients and their spouses were divided into 3 categories,including dyadic low psychological capital-low self-efficacy group(6.0％),dyadic high psychological capital-low resilience group(15.9％)and dyadic medium psychological capital group(78.1％).The stroke patients'education level,mRs scores,occupational status after the illness,level of perceived social support,and spouses'working condition were the influencing factors on potential profiles of dyadic psychological capital(P＜0.05).Conclusion There are heterogeneity and interdependence in the level of dyadic psychological capital of stroke patients and their spouses.Healthcare professionals should promote dyadic mental health by developing targeted interventions for stroke patients and their spouses with different psychological capital characteristics from a dyadic holistic perspective.

Objective To explore the potential categories of dyadic psychological capital and related factors among stroke patients and their spouses,in order to inform the improvement of their mental health.Methods Stroke patients and their spouses were recruited in the Neurology Department of 3 tertiary general hospitals from March,2023 to August,2023 by convenience sampling method.The general information questionnaire,Modified Rankin Scale(mRs),Psychological Capital Questionnaire,The Kessler Psychological Distress Scale(K10)and Perceived Social Support Scale(PSSS)were used for investigation.Latent profile analysis was adopted to explore the categories of dyadic psychological capital,and multiple Logistic regression analysis was used to assess the effect of various factors on different categories.Results A total of 232 returned questionnaires(out of the 235)were valid,resulting an effective response rate of 98.7％.Stroke patients and their spouses were divided into 3 categories,including dyadic low psychological capital-low self-efficacy group(6.0％),dyadic high psychological capital-low resilience group(15.9％)and dyadic medium psychological capital group(78.1％).The stroke patients'education level,mRs scores,occupational status after the illness,level of perceived social support,and spouses'working condition were the influencing factors on potential profiles of dyadic psychological capital(P＜0.05).Conclusion There are heterogeneity and interdependence in the level of dyadic psychological capital of stroke patients and their spouses.Healthcare professionals should promote dyadic mental health by developing targeted interventions for stroke patients and their spouses with different psychological capital characteristics from a dyadic holistic perspective.