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.

A derivatizaton method combined with gas chromatography-mass spectrometry(GC-MS)was established for detection of isobutyl chloroformate(IBCF)residue in active pharmaceutical ingredient of agatroban.The extraction and derivatization reagents,derivatization time,qualitative and quantitative ions were selected and optimized,respectively.The possible mechanism of derivatization and characteristic fragment ions fragmentation were speculated.The agatroban samples were dissolved and extracted by methanol,and the residual IBCF was derived with methanol to generate methyl isobutyl carbonate(MIBCB).After 24 h static derivatization at room temperature,IBCF was completely transformed into MIBCB,which could be used to indirectly detect IBCF accurately.The results showed that the linearity of this method was good in the range of 25-500 ng/mL(R2=0.9999).The limit of detection(LOD,S/N=3)was 0.75 μg/g,and the limit of quantification(LOQ,S/N=10)was 2.50 μg/g.Good recoveries(95.2%-97.8%)and relative standard deviations(RSDs)less than 3.1%(n=6)were obtained from agatroban samples at three spiked levels of IBCF(2.50,25.00,50.00 μg/g),which showed good accuracy of this method.Good precision of detection results was obtained by different laboratory technicians at different times,the mean value of spiked sample solution(25.00 μg/g)was 24.28 μg/g,and the RSD was 2.1%(n=12).The durability was good,minor changes of detection conditions had little effect on the results.Under the original condition and conditions with initial column temperature±5℃,heating rate±2℃/min,column flow rate±0.1 mL/min,the IBCF content of spiked sample solution(25.00 μg/g)was detected,the mean value of detection results was 24.16 μg/g,and the RSD was 2.2%(n=7).Eight batches of agatroban samples from two manufacturers were detected using the established method,and the results showed that no IBCF residue was detected in any of these samples.The agatroban samples could be dissolved by methanol,and then the IBCF residue could be simultaneously extracted and derived with methanol as well.This detection method had the advantages of simple operation,high sensitivity,low matrix effect and accurate quantification,which provided a new effective method for detection of IBCF residue in agatroban.

Objective To investigate the expression and prognostic value of serum receptor for advanced glycation end products(RAGE)and CXC-chemokine ligand 16(CXCL16)in patients with sepsis complicated with acute respiratory distress syndrome(ARDS).Methods A total of 234 patients with sepsis diagnosed and treated in a hospital from January 2019 to January 2022 were selected as the study subjects,and were divided into 82 patients with sepsis complicated with ARDS(ARDS group)and 152 patients with sepsis without ARDS(non-ARDS group)according to whether the subjects were complicated with ARDS.ARDS group was divided into survival group(n=50)and death group(n=32)according to the survival status within 28 days of admission.Another 60 healthy subjects who underwent physical examination in the same period were se-lected as the control group.Serum RAGE and CXCL16 levels were detected by enzyme-linked immunosorbent assay.Pearson correlation analysis of serum RAGE and CXCL16 levels with sequential organ failure assess-ment(SOFA)score,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score and oxygenation index in patients with sepsis and ARDS.Multivariate Logistic regression analysis of prognostic factors of sep-sis complicated with ARDS.The predictive value of serum RAGE and CXCL16 on the prognosis of sepsis complicated with ARDS patients was analyzed by receiver operating characteristic curve.Results The serum RAGE and CXCL16 levels in ARDS group were higher than those in non-ARDS group and control group,and the serum RAGE and CXCL16 levels in non-ARDS group were higher than those in control group,the differ-ence was statistically significant(P＜0.05).Compared with the survival group,the mechanical ventilation time,intensive care unit stay time,procalcitonin,SOFA score,APACHE Ⅱ score,serum RAGE,CXCL16 lev-els were higher in the death group,and the oxygenation index was lower,with statistical significance(all P＜0.05).The serum RAGE level in patients with sepsis complicated with ARDS was positively correlated with SOFA score and APACHE Ⅱ score(r=0.603,0.671,P＜0.05).Serum CXCL16 levels were positively corre-lated with SOFA score and APACHE Ⅱ score(r=0.655,0.707,P＜0.05).Serum RAGE and CXCL16 were negatively correlated with oxygenation index(r=-0.712,-0.683,P＜0.05).Multi-factor Logistics regres-sion analysis showed that serum RAGE and CXCL16 were independent risk factors for death within 28 days of admission in patients with sepsis complicated with ARDS.The area under the curve(AUC)of combined de-tection of serum RAGE and CXCL16 for predicting death within 28 days of admission in patients with sepsis complicated with ARDS was 0.882,which was higher than that of single index detection of serum RAGE and CXCL16,and the difference was statistically significant(Z=4.450,4.906,P＜0.05).Conclusion The com-bined detection of serum RAGE and CXCL16 is helpful to evaluate the clinical prognosis of sepsis complicated with ARDS patients.

Objective To observe the clinical efficacy of acupuncture at Neiyingxiang(EX-HN09)points combined with western medicine in the treatment of allergic rhinitis of deficiency-cold of lung qi type.Methods Sixty patients with deficiency-cold of lung qi type of allergic rhinitis were randomly divided into observation group and control group,with 30 patients in each group.The control group was treated with Desloratadine Tablets combined with Mometasone Furoate Aqueous Nasal Spray,and the observation group was treated with acupuncture at Neiyingxiang points combined with the self-made rhinitis recipe on the basis of the control group,and the clinical efficacy of the two groups was evaluated after 14 days.The changes of nasal symptom scores,Visual Analogue Scale(VAS)and rhinoconjunctivitis quality of life scores of the patients of the two groups were observed before and after the treatment.After 14 days of treatment,the clinical efficacy of the two groups was evaluated.The changes in nasal symptom scores,as well as VAS and rhinoconjunctivitis quality of life questionnaire(RQLQ)scores were observed before and after treatment.The changes in traditional Chinese medicine(TCM)sydnrome scores and serum immunoglobulin E(IgE)were compared before and after treatment in the two groups,and the safety of the two groups was evaluated.Results(1)The total effective rate of the observation group was 93.33%(28/30),and the control group was 73.33%(22/30).The efficacy of the observation group was superior to that of the control group,and the difference was statistically significant(P＜0.05).(2)After treatment,the symptoms of nasal congestion,sneezing,runny nose and nasal itching were significantly improved in the two groups(P＜0.01),and the observation group was significantly superior to the control group in improving nasal symptoms,and the differences were statistically significant(P＜0.05).(3)After treatment,the VAS scores of patients in the two groups were significantly improved(P＜0.01),and the observation group was superior to the control group in improving VAS scores,with statistically significant differences(P＜0.05).(4)After treatment,the PQLQ scores of patients in the two groups improved significantly(P＜0.01),and the observation group was significantly superior to the control group in improving the PQLQ scores,and the difference was statistically significant(P＜0.05).(5)After treatment,the TCM syndrome scores of the patients in the two groups were significantly improved(P＜0.01),and the observation group was significantly superior to the control group in improving TCM syndrome scores,with statistically significant differences(P＜0.05).(6)After treatment,the serum IgE levels of patients in the two groups were significantly improved(P＜0.01),and the observation group was significantly superior to the control group in improving serum IgE levels(P＜0.05),with a statistically significant difference.(7)There was no significant difference in the incidence of adverse reactions between the observation group and the control group(P＞0.05).Conclusion Acupuncture at Neiyingxiang points plus self-made rhinitis recipe combined with western medicine in the treatment of deficiency-cold of lung qi type of allergic rhinitis can significantly improve the clinical symptoms of the patients,thus improving the quality of life of the patients,and the therapeutic efficacy is remarkable.

Helicobacter pylori(HP)infection is a Class Ⅰ carcinogen in gastric cancer,closely related to the occurrence of gastric cancer.Many studies have shown that HP eradication has a preventive effect on gastric cancer.However,2.7%-6.1%of patients with early gastric cancer who have been eradicated after endoscopic submucosal dissection(ESD)can still develop metachronous gastric cancer(MGC),and the mechanism of its occurrence is still unclear.In this review,the atrophy of gastric mucosa and intestinal metaplasia cannot be completely reversed after HP eradication,the excessive proliferation of gastric mucosa epithelial cells,the accumulation of genetic abnormalities,the homeostasis imbalance of the epigenetic group,changes in immune microenvironment,the abnormality of stem cells in gastric mucosa,chromatin accessibility,and changes in chromosome remodeling were discussed in the mechanism of carcinogenesis caused by the above molecular changes after ESD and HP eradication in early gastric cancer.

Objective To investigate the changes in the position of the fibular sesamoid bone with hallux valgus aggravated under two conditions:the foot bearing anteroposterior radiography(reflecting the static bearing state of the foot)and the sesamoid bone bearing axial radiography(reflecting the foot movement state).Methods Seventy-four feet with clinically suspected hallux valgus were finally enrolled in 49 feet,including 14 in the mild group,23 in the moderate group,and 12 in the severe group.Three indica-tors were measured on anteroposterior and axial radiographs:the position of the fibular sesamoid bone in anteroposterior radiographs(SP)and sesamoid axial position(SAP),and the rotation angle of the fibular sesamoid articular surface(RAf).The vertical distance between the fibular sesamoid bone and the second metatarsal bone was used to represent the position of the fibular sesamoid bone,then the position of the fibular sesamoid in the anteroposterior and axial positions was specifically marked as SPf-2 and SAPf-2.To cor-rect the anatomical differences of each foot,the ratio of the measured distance index to the length of the second metatarsal bone(AB),namely SPf-2/AB,SAPf-2/AB,was included in the statistical analysis.Results SPf-2/AB and SAPf-2/AB had no significant difference between hallux valgus groups(P＞0.05).The mean values of SPf-2/AB and SAPf-2/AB were significantly different(P＜0.05).RAf was positively correlated with hallux valgus angle(HVA)(r=0.725,P＜0.001),increased as HVA increased.Conclusion Both weight-bearing anteroposterior and sesamoid axial radiographs(foot at rest and in motion),the position of the fibular sesamoid bone is not affected by hallux valgus,and the distance from the center of the fibular sesamoid bone to the second metatarsal bone remains unchanged.The position of the fibular sesamoid bone is not the same between the anteroposterior and axial radiographs,so it is necessary to evaluate the position of the fibular sesamoid bone in the two states respectively and combine the two methods.RAf increases with the increase of HVA in axial view,it is considered that although the central position of the fibular sesamoid bone remains the same under foot movement,it does reverse spin movement toward the tibial side with the aggravation of hallux valgus.

Objective To explore the prevention and treatment of vasovagal reflex during and after operation in diseases of urinary system.Methods From February 2020 to April 2023,1436 patients who completed inpatient surgery in Department of Urology,Songshan Hospital,Qingdao University Medical College were selected to analyze the emergency management measures of vasovagal reflex during and after operation and summarize the diagnosis and treatment experience.Results Among 1436 patients,vasovagal reflex occurred in 4 cases during operation and 14 cases after operation,with an incidence of 1.25%.Most patients showed simultaneous decrease in blood pressure and heart rate.After intravenous injection of atropine and dopamine,blood pressure and heart rate returned to normal,and various concomitant symptoms disappeared,and no death cases were reported.Conclusion Urological specialists should pay attention to vasovagal reflex,sum up experience,do early identification,timely treatment to ensure the safety of patients.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

Objective To investigate the expressions of 12 cytokines(IL-1β,IL-2,IL-4,IL-5,IL-6,IL-8,IL-10,IL-12p70,IL-17,IFN-α,IFN-γ,TNF-α)and procalcitonin in patients with infective endocarditis(IE).Methods Ten IE patients admitted to our hospital from December 2021 to December 2022 were included into the IE group,10 patients with non-infectious and non-rheumatic valvular diseases who were admitted to our hospital at the same period were randomly selected as the control group,and blood sampling of all patients were conducted at admission.The expressions of 12 cytokines and blood routine indexes were detected by flow cytometry,and the level of procalcitonin was detected by ELISA.The correlations among the expression levels of cytokines in IE patients were analyzed by Pearson method and the correlations of IL-8 level and white blood cell count with procalcitonin in IE patients were analyzed by Spearman method.Results Compared with the control group,the levels of cytokines of IL-1β,IL-2,IL-6,IL-10,TNF-α,IFN-α,IFN-γ and IL-12p70 in the IE group were significantly increased(P<0.05),the white blood cell count,neutrophil percentage and procalcitonin were significantly increased(P<0.05).There was no significant difference in the percentage of monocytes between the two groups(P>0.05).IFN-α of IE patients was positively correlated with IL-2,TNF-α,IL-1β and IL-12p70,IL-2 was positively correlated with TNF-α and IL-1β,IL-12p70 was positively correlated with IFN-γ,and procalcitonin was significantly positively correlated with IL-8 and white blood cell count,with statistically significant differences(P<0.05).Conclusion The levels of IL-1β,IL-2,IL-6,IL-10,TNF-α,IFN-α,IFN-γ,IL-12p70 and procalcitonin in IE patients are significantly higher than those in the normal population,and the detections of these indicators are of guiding significance for the early diagnosis of IE and the evaluation of the severity of the disease.