ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Objective To establish a prediction model for the occurrence of non-occupational carbon monoxide poisoning events in Beijing, and to provide scientific basis and theoretical support for the prevention and warning of poisoning events. Methods Based on the monitoring data of non-occupational carbon monoxide poisoning events in Beijing from 2016 to 2024, the seasonal ARIMA model and seasonal index model were established to analyze the data and predict the occurrence of events. Results Between 2016 and 2024, a total of 436 cases of non-occupational carbon monoxide poisoning were reported in Beijing, showing a downward trend. The established SARIMA model and seasonal index model were SARIMA (1,0,0) (1,1,0) 12, Yt = (-0.0339t+5.8863) × St, and the average relative errors were 65.42% and 29.19%, respectively. In terms of months, the SARIMA model had better predictive performance during April and summer (June to August), while the seasonal index model was superior in other months. By combining the two models, the predicted number of events in 2025 was as follows: 3, 2, 2, 3, 1, 5, 2, 7, 1, 1, 1, and 2. Conclusion The seasonal index model has the best prediction effect on the non-occupational carbon monoxide poisoning events in Beijing throughout the year, and the number of summer events predicted by SARIMA model is closer to the actual values. The two models can be combined to predict the trend of non-occupational carbon monoxide poisoning, which provides a scientific basis for the prevention and control of carbon monoxide poisoning in the future.

Transcatheter aortic valve replacement(TAVR)has emerged as a promising therapeutic alternative for addressing aortic valve-related pathologies.However,the occurrence of rapid arrhythmias linked to TAVR procedures is progressively drawing scrutiny.Presently,pharmacologic interventions constitute the mainstay of managing atrial arrhythmias related to TAVR,while the potential of ablation as a viable treatment modality remains undefined.Notably,in cases where the arrhythmia's genesis is presumed to be intricately linked to the prosthetic valve,the practicality and safety of ablation procedures remain unverified.Our institution has successfully ventured into radiofrequency ablation for a distinctive patient presenting with this intricate condition,thereby tentatively affirming the efficacy and safety of catheter ablation administered on the surface of prosthetic valves.

Although indigenous malaria has been eliminated in Wuhan since 2013,imported malaria remains a potential threat as an infectious source of local malaria transmission.The epidemiological and clinical characteristics of imported malaria are particularly important in areas where local malaria has been eliminated.This study was aimed at analyzing the epidemiological and clinical characteristics of imported malaria in Wuhan from 2012 to 2019,to provide a basis for further improving the preven-tion and control of imported malaria.Patients in Wuhan diagnosed with imported malaria from January 1,2012,to December 31,2019,were included in this study.A case-control study was con-ducted to analyze the features of patients with severe malaria.Uni-variate and multivariate logistic regression was used to identify risk factors for prolonged hospital length of stay(LOS).Among 229 imported malaria cases,212(92.6％)were in Chinese citizens,and most cases were in men(96.5％).The gender ratio is 28:1,and the age of cases is mainly concertrated between 18 and 50 years old(89.1％).More than 80％of patients were mi-grant workers,and most cases were infections from African countries(92.6％).Plasmodium falciparum(80.8％)was the dominant species.Fifty-three severe malaria cases were identified during the study period.Compared with uncomplicated cases,severe cases tended to occur in patients with no history of malaria(P=0.008),patients infected with Plasmodium falciparum(P=0.009),and patients who were initially misdiagnosed(P＜0.001).The median LOS was 6 days,and the species of infec-tion(Plasmodium falciparum),the use of antimalarial drugs(group B),antipyretic time(longer than 3 days),and the turn-around time of blood smear microscopy(longer than 3 days)were significantly associated with longer LOS(all P＜0.05).Al-though malaria has been eradicated in Wuhan for many years,imported cases continue to pose a threat.Efforts should be made to strengthen malaria knowledge education for outbound personnel.Additionally,medical institutions must enhance diagnosis and treatment capabilities for malaria,and adhere to standardized treatment processes,and the development of drug resistance and occurrence of severe malaria must be prevented.

Vaccination is a main measure for protecting chickens against Marek's disease,while it is not able to suppress the infection,proliferation,transmission,and virulence enhancement on Marek's disease virus.Inhibiting the proliferation of Marek's disease virus in chicken is therefore an im-portant option for enhancing defense effectiveness.In this study,a compound,DUBs-IN-1,was found to inhibit the activity of MDV049,a protease encoded by Marek's disease virus,via screening a protease inhibitor library using MDV049 as target and ubiquitin probe.Molecular docking re-vealed that DUBs-IN-1 can interact with the residues which formed the catalytic pocket of MDV049,blocking the interaction between Ub substrate and the catalytic center of MDV049,then suppress the activity of MDV049 with competitive inhibition.Using the CPE model,it was found that DUBs-IN-1 at the concentration of 0.35 and 0.70 μmol/L significantly inhibited the CPE in-duced by Marek's disease virus in CEF cells.Quantitative analysis revealed that DUBs-IN-1 inhibi-ted the proliferation of Marek's disease virus in CEF cells(P＜0.01).Furthermore,it was found that the administration of 80 and 150 pg/(kg·d)of DUBs-IN-1 in chicken infected by Marek's disease virus significantly inhibited the proliferation of MDV in T cells(P＜0.01).In summary,this study demonstrated that the compound DUBs-IN-1 is able to inhibit the proliferation of Marek's disease virus in chicken cells,laying a theoretical and practical foundation for further de-velopment of the drugs against Marek's disease virus.

Objective:The purpose of this study is to explore in depth the mechanism of the impact of brain drain on organizational cohesion,with a view to cracking the vicious circle problem caused by brain drain in the northeast region and eliminating the unfavorable factors affecting the core cohesion of public health institutions.Methods:A combination of convenience sampling and snowball sampling was used to survey11 912 valid questionnaires,and the data were systematically analyzed using descriptive statistics,regression analysis,and moderated mediated effects analysis.Results:Brain drain has a significant negative effect on organizational cohesion(β=-1.29,P<0.001);and role overload partially mediates between the two,with a significant mediating effect(effect value=-0.56,95%CI=-0.67～-0.46),and the indirect effect accounts for 43.4%of the total effect;and monthly income significantly moderates the effect of brain drain on organizational cohesion through role overload(β=1.00,P<0.001).Conclusion:It is recommended to alleviate the sense of role overload among public health personnel by adjusting the level of salary and benefits,and to reduce the negative impact of brain drain by adopting long-term incentive mechanisms and other strategies,thus enhancing organizational cohesion and providing theoretical and practical guidance for relevant institutions.

Objective:To carry out the policy diffusion analysis of centralized and volume-based drug procurement in China in recent years,and to provide reference for the formulation of centralized and volume-based drug procurement policy.Methods:Through the official websites of the central and provincial governments,the official websites of the Health Commission and the official websites of the Medical Security Bureau,the policy documents related to centralized and volume-based drug procurement from January 1,2009 to December 31,2023 were searched.Based on the policy diffusion theory,the reference network analysis method is used to analyze the intensity,breadth and speed of policy diffusion,and the sequential analysis method of policy keywords is used to analyze the direction of policy diffusion.Results:In the two stages of the development of centralized and volume-based drug procurement policy,the number of policies issued in the medical insurance management stage reached the peak;The top ten policies with the highest diffusion intensity and breadth are all central policies,and most of them are notices and opinions.In addition,the newly promulgated policies have a faster diffusion speed.In the direction of diffusion,top-down and parallel diffusion trends are obvious.Conclusion:The diffusion of centralized and volume-based drug procurement policy in China focuses on the central policy,and the diffusion speed is increasing year by year.It is suggested to strengthen the policy coordination between the central and local governments,establish a unified national information platform for centralized drug procurement,optimize the learning and competition mechanism between governments at all levels,and give play to the advantages of"policy experiment".

Immunotherapy has made breakthrough in the field of tumor treatment. How to accurately predict the response of tumor patients to immunotherapy in the early stage is currently a clinical challenge. Nuclear medicine molecular imaging provides a new technological means for early accurate diagnosis, treatment monitoring, early warning of recurrence and metastasis, and guidance for personalized treatment of diseases. Therefore, it plays an irreplaceable role in precise diagnosis and treatment of tumors and patient stratification. This article reviews the progress of molecular imaging research on immune cells and related targets within the tumor microenvironment.

Objective:To investigate the effectiveness and safety of domestic upper gastrointestinal endoscopic ultrasound (EUS).Methods:A total of 160 patients undergoing EUS at Shengjing Hospital of China Medical University (Center1) and Shenzhen People's Hospital (Center 2) from March to July 2021 were randomly selected by stratified blocked randomization, and were treated with SonoScape EG-UG5T (the test group) or Fujifilm EG-580UT (the control group). The primary outcome was the ultrasound image quality excellence rate, and the comparison was verified by non-inferiority. The secondary outcomes were the endoscopic image quality excellence rate, the operational performance excellence rate, and the system stability evaluation. The safety evaluation was based on the occurrence of intraoperative and postoperative adverse events in the subjects.Results:In the intention-to-treat analysis set (ITT), the excellence rate of ultrasound image quality in the test group and the control group was 100.0% (78/78) and 100.0% (77/77), respectively. The rate difference between the two groups was 0.0% (95% CI: -4.7%-4.8%). In the per protocol analysis set (PPS), the excellence rate of ultrasound image quality in the test group and the control group was 100.0% (78/78) and 100.0% (75/75), respectively. The rate difference between the two groups was 0.0% (95% CI: -4.7%-4.9%). The lower limit of the confidence interval of ultrasound image quality excellence rate of both data sets was greater than the non-inferiority threshold value of -8%, which inferred that the non-inferiority hypothesis of the test machine non-inferior to the control machine was valid. The endoscopic image quality excellence rate and the operational performance excellence rate of the test group and the control group was 100.0% in both the ITT and PPS analyses, and there was no statistically significant difference between the two groups ( P=1.000). The system instability event rate was 0.0% (0/78) in the test group and 3.9% (3/77) in the control group ( P=0.120). No adverse event occurred in either group. Conclusion:The domestic upper gastrointestinal endoscopic ultrasound is standard-compliant for clinical application under normal conditions in terms of effectiveness, safety, and stability.