This study aims to prepare monoclonal antibody to S1 protein of porcine epidemic diar-rhea virus(PEDV).E.coli expression system and affinity chromatography were used to success-fully obtain purified recombinant PEDV S1 protein.After immunizing BALB/c mice,hybridoma technology and indirect ELISA were used to prepare and screen positive hybridoma cells.Finally,ascites antibodies were prepared by in vivo induction method.ELISA results showed that a total of 4 hybridoma cell lines with anti-PEDV S1 monoclonal antibody were screened,and they were named E6,G3,H6 and F2.The supernatant titers of all 4 hybridoma cell lines reached 1∶6 400.The monoclonal antibody H6 with higher antibody titers and more stable antibody secretion was selected for antibody type identification.It was found that monoclonal antibody H6 belongs to the IgG1 subclass and the light chain is the λ chain.The antibody titers that induced mouse ascites were 1∶106 and without cross-reaction with other proteins.Western blot results showed that the monoclonal antibody exhibited specific bands at 38 kDa with the recombinant S1 protein,PEDV QY2016,and PEDV CV777 strains.The IFA results also showed that the monoclonal antibody reacted with cells infected with PEDV QY2016 and PEDV CV777 strains,exhibiting a green fluo-rescent signal.The affinity constant of monoclonal antibody H6 was K=1.75×107 moL/L,indica-ting that the H6 strain had a good affinity and could be used for the development of subsequent di-agnostic antibodies.In summary,this study successfully prepared monoclonal antibodies that can specifically recognize PEDV S1 protein,which can be used for the antigen detection of PEDV and providing important test materials for the research of PEDV detection methods.

Objective To investigate the epidemiological characteristics of patients with postcraniotomy meningitis(PM)caused by Gram-negative bacteria(GNB),and to evaluate the related risk factors for mortal-ity.Methods A total of 202 PM patients in Beijing Tiantan Hospital,Capital Medical University from May 2019 to December 2021 were retrospectively analyzed,including 54 cases in the death group and 148 cases in the survival group.The distribution of microorganisms in the two groups was analyzed,and Cox proportional hazards regression model was established to evaluate the risk factors of death.Results Among the 202 pa-tients with PM caused by GNB,with a mortality rate of 26.7%,Klebsiella pneumoniae(24.8%),Acinetobact-er baumannii(21.8%)and Escherichia coli(8.4%)were the top three isolated pathogens.The proportions of GNB distribution in the survival group and the death group were similar,but the bacteria distribution in the death group was more concentrate.Cox proportional hazards regression model results showed that hyperten-sion(HR=2.384,95%CI 1.229-4.626,P=0.010)and admission to ICU(HR=3.695,95%CI 1.412-9.670,P=0.008)were independent risk factors for death in patients with PM caused by GNB.Conclusion The mortality of PM caused by GNB is high.Hypertension and admission to ICU are independent risk factors for death of patients,and attention should be paid to prevention and treatment in clinical practice.

Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules（comprising 150 nodules）who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules，forming a dynamic ultrasound image dataset. The dataset was divided into training，validation，and test sets in a ratio of 6∶1∶3. After the training loss curve converged，the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment，two subsets were used as the training set，and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules，300 dynamic ultrasound images，and video lengths of 3-4 seconds per nodule，resulting in 12 312 segmented images. The size of the thyroid nodules was（10.7 ± 10.6）mm（transverse diameter）×（8.4 ± 6.3）mm（anteroposterior diameter）. Among the nodules，62（41.3%）had clear boundaries，while 88（58.7%）had indistinct boundaries；61（40.7%）exhibited regular shapes，while 89（59.3%）were irregular；66（44.0%）had a taller-than-wide aspect ratio；and 70（46.7%）showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores：a Jaccard score of（69.22 ± 0.03）%，a Dice score of（79.16 ± 0.18）%，a Precision score of（86.70 ± 0.17）%，a Recall score of（77.82 ± 0.04）%，an Sα score of（85.26 ± 0.01）%，and an Eθmn score of（90.58 ± 0.17）%. Compared to other models，this model demonstrated significant improvements across all evaluation metrics，achieving the highest values in each metric with increments of over 8% and 1%，respectively. Conclusions:The collaborative diffusion model with a dynamic controller，constructed based on dynamic ultrasound images of thyroid nodules，demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening，thereby providing a valuable auxiliary diagnostic tool for clinical practice.

Bisphenol A(BPA)is an environmental endocrine disruptor commonly found in industri-al products such as plastics,resin coatings,and paper coatings,and it poses potential reproductive hazards.Despite extensive research,studies examining its effects on the F1 generation of rabbits are limited.This study established a BPA exposure model in pregnant female rabbits to investigate its impact on reproductive hormones,apoptosis,oxidative stress,inflammatory responses,and tissue integrity in weaned female offspring.The results indicate that BPA exposure induces oxidative stress and inflammation in F1 rabbits,disrupts hormonal balance,and affects antioxidant enzymes and inflammatory mediators through the modulation of the Nrf2 and NF-κB signaling pathways,ultimately leading to apoptosis and tissue damage.

Bisphenol A(BPA)is an environmental endocrine disruptor commonly found in industri-al products such as plastics,resin coatings,and paper coatings,and it poses potential reproductive hazards.Despite extensive research,studies examining its effects on the F1 generation of rabbits are limited.This study established a BPA exposure model in pregnant female rabbits to investigate its impact on reproductive hormones,apoptosis,oxidative stress,inflammatory responses,and tissue integrity in weaned female offspring.The results indicate that BPA exposure induces oxidative stress and inflammation in F1 rabbits,disrupts hormonal balance,and affects antioxidant enzymes and inflammatory mediators through the modulation of the Nrf2 and NF-κB signaling pathways,ultimately leading to apoptosis and tissue damage.

This study aims to prepare monoclonal antibody to S1 protein of porcine epidemic diar-rhea virus(PEDV).E.coli expression system and affinity chromatography were used to success-fully obtain purified recombinant PEDV S1 protein.After immunizing BALB/c mice,hybridoma technology and indirect ELISA were used to prepare and screen positive hybridoma cells.Finally,ascites antibodies were prepared by in vivo induction method.ELISA results showed that a total of 4 hybridoma cell lines with anti-PEDV S1 monoclonal antibody were screened,and they were named E6,G3,H6 and F2.The supernatant titers of all 4 hybridoma cell lines reached 1∶6 400.The monoclonal antibody H6 with higher antibody titers and more stable antibody secretion was selected for antibody type identification.It was found that monoclonal antibody H6 belongs to the IgG1 subclass and the light chain is the λ chain.The antibody titers that induced mouse ascites were 1∶106 and without cross-reaction with other proteins.Western blot results showed that the monoclonal antibody exhibited specific bands at 38 kDa with the recombinant S1 protein,PEDV QY2016,and PEDV CV777 strains.The IFA results also showed that the monoclonal antibody reacted with cells infected with PEDV QY2016 and PEDV CV777 strains,exhibiting a green fluo-rescent signal.The affinity constant of monoclonal antibody H6 was K=1.75×107 moL/L,indica-ting that the H6 strain had a good affinity and could be used for the development of subsequent di-agnostic antibodies.In summary,this study successfully prepared monoclonal antibodies that can specifically recognize PEDV S1 protein,which can be used for the antigen detection of PEDV and providing important test materials for the research of PEDV detection methods.

Objective:To investigate the efficacy and safety of allopurinol in stable coronary heart disease patients with asymptomatic hyperuricemia (AH).Methods:Sixty stable coronary heart disease with AH patients admitted to the Changsha Third Hospital from January 2022 to December 2023 were selected. Patients were randomly divided into an observation group (allopurinol treatment group) and a control group (placebo group). The results of tablet exercise tests, treatment efficacy, blood uric acid levels, liver and kidney function indicators, and incidence of adverse events were compare and analyzed between two groups of patients.Results:The observation group had better exercise termination time, maximum ST descent time, and ST recovery time than the control group (all P<0.05). The total effective rate of the observation group after 6 weeks of treatment was significantly higher than that of the control group, and the difference was statistically significant (χ 2=5.455, P=0.02). There was no statistically significant difference in blood uric acid levels and liver and kidney function indicators between the two groups before treatment (all P>0.05). After treatment, both groups showed significant improvement in blood uric acid levels and liver and kidney function indicators compared to before treatment (all P<0.05). The levels of blood uric acid and liver and kidney function indicators in the observation group were significantly better than those in the control group after treatment (all P<0.05). The incidence of adverse events in the observation group during treatment was lower than that in the control group (χ 2=5.192, P=0.023). Conclusions:Allopurinol has a certain therapeutic effect on stable coronary heart disease with asymptomatic hyperuricemia, which helps patients enhance their physical activity and reduce the incidence of cardiovascular events.

Objective:To investigate the efficacy and safety of allopurinol in stable coronary heart disease patients with asymptomatic hyperuricemia (AH).Methods:Sixty stable coronary heart disease with AH patients admitted to the Changsha Third Hospital from January 2022 to December 2023 were selected. Patients were randomly divided into an observation group (allopurinol treatment group) and a control group (placebo group). The results of tablet exercise tests, treatment efficacy, blood uric acid levels, liver and kidney function indicators, and incidence of adverse events were compare and analyzed between two groups of patients.Results:The observation group had better exercise termination time, maximum ST descent time, and ST recovery time than the control group (all P<0.05). The total effective rate of the observation group after 6 weeks of treatment was significantly higher than that of the control group, and the difference was statistically significant (χ 2=5.455, P=0.02). There was no statistically significant difference in blood uric acid levels and liver and kidney function indicators between the two groups before treatment (all P>0.05). After treatment, both groups showed significant improvement in blood uric acid levels and liver and kidney function indicators compared to before treatment (all P<0.05). The levels of blood uric acid and liver and kidney function indicators in the observation group were significantly better than those in the control group after treatment (all P<0.05). The incidence of adverse events in the observation group during treatment was lower than that in the control group (χ 2=5.192, P=0.023). Conclusions:Allopurinol has a certain therapeutic effect on stable coronary heart disease with asymptomatic hyperuricemia, which helps patients enhance their physical activity and reduce the incidence of cardiovascular events.

Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules（comprising 150 nodules）who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules，forming a dynamic ultrasound image dataset. The dataset was divided into training，validation，and test sets in a ratio of 6∶1∶3. After the training loss curve converged，the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment，two subsets were used as the training set，and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules，300 dynamic ultrasound images，and video lengths of 3-4 seconds per nodule，resulting in 12 312 segmented images. The size of the thyroid nodules was（10.7 ± 10.6）mm（transverse diameter）×（8.4 ± 6.3）mm（anteroposterior diameter）. Among the nodules，62（41.3%）had clear boundaries，while 88（58.7%）had indistinct boundaries；61（40.7%）exhibited regular shapes，while 89（59.3%）were irregular；66（44.0%）had a taller-than-wide aspect ratio；and 70（46.7%）showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores：a Jaccard score of（69.22 ± 0.03）%，a Dice score of（79.16 ± 0.18）%，a Precision score of（86.70 ± 0.17）%，a Recall score of（77.82 ± 0.04）%，an Sα score of（85.26 ± 0.01）%，and an Eθmn score of（90.58 ± 0.17）%. Compared to other models，this model demonstrated significant improvements across all evaluation metrics，achieving the highest values in each metric with increments of over 8% and 1%，respectively. Conclusions:The collaborative diffusion model with a dynamic controller，constructed based on dynamic ultrasound images of thyroid nodules，demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening，thereby providing a valuable auxiliary diagnostic tool for clinical practice.

Objective:To gain a deep understanding of the current cognition and training needs of nursing undergraduates regarding their emergency response teamwork skills, and to provide reference for the development of courses on emergency response teamwork among nursing undergraduates.Methods:From September to October 2023, purposive sampling was used to select 15 senior nursing undergraduates from Peking Union Medical College, Beijing University of Chinese Medicine, and Beijing City University as subjects for semi-structured interviews. Colazizzi 7-step analysis method was used to summarize and extract themes.Results:Three themes were extracted, including insufficient cognition and skill in emergency response, lack of emergency response teamwork cultivation, and the need for systematic and comprehensive training courses.Conclusions:Universities, hospitals, and other training institutions should work together to develop a systematic emergency response teamwork training course for nursing undergraduates, to cultivate the skills of nursing undergraduates and reserve talents for high-quality emergency response nursing teams.