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.

The development of organ transplantation has brought new hope to many patients with organ failure and their families， but it has also raised numerous ethical issues. How to balance the rights and interests between organ donors and recipients， as well as ensure the fairness and transparency of the transplantation process has become an urgent problem to be solved. Based on the latest Regulations on Organ Donation and Transplantation and the Working Rules of the Ethics Committee for Human Organ Transplantation， the current difficulties and challenges in organ transplantation ethics were deeply analyzed. Taking the ethical review practice of Shenzhen Third People’s Hospital as an example， this paper explored issues such as full informed consent of both donors and recipients， risk assessment of marginal donors， and the review of relationships between donors and recipients. It also explored and constructed a set of complete ethical review models for organ transplantation through refined management. This model improved the efficiency and quality of ethical review as well as enriched the related knowledge system. It is expected that the implementation of this model can provide a reference for promoting effective ethical review nationwide， advancing the improvement and development of ethical review work in organ transplantation. Meanwhile， more medical ethics experts and practitioners are called upon to focus on and engage in the research and practice of ethical review in organ transplantation， jointly promoting progress in this field.

OBJECTIVE To explore the effects of Tianma xiongling zhixuan tablet on autophagy in vascular endothelial cells of rats and its potential mechanism. METHODS The rat aortic endothelial cells （RAECs） were divided into normal group， model group， blank serum group， traditional Chinese medicine （TCM） medicated serum group， autophagy blocker group， autophagy agonist group， and TCM combined with autophagy agonist group. Except for normal group， other groups were given 10 μg/mL lipopolysaccharide for 24 hours to induce RAECs inflammation injury model. Blank serum group was treated with 10% blank serum； TCM medicated serum group received 10% medicated serum derived from Tianma xiongling zhixuan tablet； autophagy blocker group was treated with 20 μmol/L of PD98059； autophagy agonist group was administered 50 μmol/L Honokiol. Lastly， the TCM combined with autophagy agonist group was given both 10% medicated serum derived from Tianma xiongling zhixuan tablet and 50 μmol/L Honokiol. The morphological characteristics of RAECs in each group were observed. The cell viability of each group， the contents of endothelin-1 （ET-1） and nitric oxide （NO）， mitochondrial reactive oxygen species， mitochondrial membrane potential， and the expression levels of PTEN-induced kinase 1 （PINK1）， Parkin， ubiquitin-binding protein （p62）， and microtubule-associated protein 1 light chain 3 （LC3） were detected. RESULTS Compared with model group， the levels of ET-1， mitochondrial reactive oxygen species， and the relative expressions of PINK1， Parkin， and LC3 proteins in the autophagy blocker group and TCM medicated serum group were decreased or down-regulated significantly （P＜0.05 or P＜0.01）； the cell viability rate （only autophagy blocker group）， NO level， mitochondrial membrane potential， and the E-mail：46164660@qq.com relative expression level of p62 protein were increased or up-regulated significantly （P＜0.05 or P＜0.01）； the pathological damage of RAECs was significantly improved， the number of cells increased significantly， and the typical paving stone-like characteristics were restored. The levels of ET-1， mitochondrial reactive oxygen species， and the relative expression levels of Parkin and LC3 proteins in the autophagy agonist group were increased or up-regulated significantly （P＜0.05 or P＜0.01）， while cell viability rate was decreased significantly （P＜0.05）， the damage of RAECs was aggravated. Compared with the autophagy agonist group， the cell viability rate and the relative expression level of p62 protein in TCM combined autophagy agonist group were increased or up-regulated significantly （P＜0.05 or P＜0.01）， while the levels of ET-1， the relative expression levels of PINK1， Parkin， and LC3 proteins were down-regulated significantly （P＜ 0.01）， the damage of RAECs was reversed to a certain extent. CONCLUSIONS Tianma xiongling zhixuan tablet protects vascular endothelial function by regulating mitochondrial autophagy， the mechanism of which may be associated with the regulation of PINK1/Parkin signaling pathway and the inhibition of mitochondrial autophagy.

The Department of Thoracic Surgery of Shanghai Chest Hospital has performed esophageal function testing for over 30 years, being the only department of its kind in China with this capability. The pressure testing and 24-hour pH/impedance monitoring of the esophagus is of great help to assist in the diagnosis and treatment of benign and malignant esophageal diseases related to it. Thanks to the esophageal function test, in addition to the routine various endoscopic anti-reflux procedures, our hospital has taken the lead in China in recent years to carry out a series of clinical and research work for benign esophageal diseases, such as the development of magnetic ring, double nedoscopic combination and new anti-reflux endoscopic techniques. In recent years, we have carried out high-resolution esophageal manometry and 24-hour pH/impedance monitoring for patients with interstitial pneumonia and pulmonary fibrosis suspected to be caused by gastroesophageal acid reflux. We can better assess the correlation between gastroesophageal reflux and pulmonary fibrosis, and to provide the different clinical treatments and even surgical interventions. The Bravo capsule is used more often in the United States, and it has obvious advantages over traditional approach for acid measurement. We strongly call for the collaboration between industry and academic institutions in this field, and the development of our own related products with independent intellectual property rights.

Aim To analyze the anti-A549 and HI299 lung ade-nocarcinoma activities via using examples of baicalin, astragalo-side, hesperidin and cisplatin based on real time cellular analysis (RTCA) technology, and to build a new strategy for EC50 e-valuation reflecting the time-dimensional characteristic. Methods Using RTCA Software Pro for data analysis and GraphPad Prism and Origin Pro plotting, the in vitro anti-A549 and H1299 lung adenocarcinoma activities of baicalin, astragaloside, hesperidin, and cisplatin were characterized using the endpoint method and time dimension, respectively. Results (X) There were significant differences in EC50 values of A549 and H1299 cells at 24 h and 48 h endpoint methods. (2) The correlation coefficient of the curve fitted with the four-parameter equation was > 0. 9, and the dynamic change of EC50 remained relatively stable (the linear fitting of EC50 at adjacent 4 points I slope 1^1) used to calculate the EC50 value within this time dimension. The EC50 of baicalin, astragaloside, hesperidin and cisplatin on A549 cells was 52. 97 ±1.75 плпо! • L~1(16~48 h) , 62.88 ± 2.91 ijunol • L"1 (32.25 -48 h) , 78.84 ±0.33 плпо1 • L"1 (21.5 -29.75 h), 13.57 ±1.54 плпо1 • L_1(27.5 -48 h), respectively; the EC50 of baicalin, astragaloside, hesperidin and cisplatin on H1299 cells was 43. 71 ± 1. 26 |лто1 • L_1 ( 19. 5 -48 h), 47.23 ±1. 19 |лто1 • L_1(14 -48 h) , 39.45 ±0.24 плпо1 • L"1 (12.75 -46.25 h), 25.97 ±4.76 плпо1 • L"1 (10. 25 -48 h) , respectively. The results showed that the time window for the anti-tumor effect of the test solution/drug was different. Conclusions Based on RTCA technology, it is more accurate and reasonable to select EC50 data that exhibit better fitting, stable changes, and time-dimensional characteristics for the evaluation of anti-tumor activity. In addition, this method of distinguishing different effective time of antitumor drugs can provide a reference for the timing of clinical combination drugs, and this approach will also provide a reference for further related studies.

Objective To investigate the application value of spectral computed tomography venography(CTV)in the display and staging of deep venous thrombosis(DVT)in the lower extremity.Methods Eighty-two patients with CTV were selected and ran-domly divided into group A(42 patients)and group B(40 patients).Group A:tube voltage 120 kVp.Group B:gemstone spectral ima-ging(GSI)mode,reconstruction of 50 keV and iodine(water)maps.The CT and standard deviation(SD)values of the veins were measured,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated in 120 kVp images of group A and in 50 keV images of group B.Two observers scored the image quality of the 2 groups subjectively,and Kappa test was used to examine the con-sistency.Based on the duration from the occurrence of clinical symptoms,the DVTs were classified.The CT values and iodine con-centration(IC)of DVT were measured in the 120 kVp images of group A and in the iodine(water)maps of group B,respectively.The receiver operating characteristic(ROC)curve was drawn to compare the effectiveness of CT values and IC in diagnosing DVT staging.Results CT values,SNR,and CNR of veins in group B were higher than those in group A(P<0.05).The subjective scores of the two groups were consistent(Kappa=0.926-0.955,P<0.05).The score for the display of veins and thrombus clarity in group B was 5(4,5),which was better than the score of 4(3,4)in group A(P<0.05).The efficiency of IC in diagnosing DVT staging[area under the curve(AUC)=0.973]was better than that of CT values(AUC=0.891).Conclusion The spectral CTV can improve the contrast of lower extremity deep veins and the clarity of thrombus,and can provide more objective indicators for the diagnosis of thrombus staging,which is conducive to accurate clinical diagnosis and treatment.

Patients with chronic obstructive pulmonary disease have the disease phenomenon of fear of exercise because of dyspnea, which can accelerate the body degradation rate, weaken muscle strength, reverse increase dyspnea, and delay the recovery of the disease. As a result, this article examines the theoretical underpinnings and specific measures of dyspnea belief intervention programs for chronic obstructive pulmonary disease patients at home and abroad, summarizes the limitations of previous studies, and makes pertinent recommendations in an effort to serve as a guide for early patient prevention and the development of scientific and feasible intervention programs.

Influenza virus causes serious threat to human life and health. Due to the inherent high variability of influenza virus, clinically resistant mutant strains of currently approved anti-influenza virus drugs have emerged. Therefore, it is urgent to develop antiviral drugs with new targets or mechanisms of action. RNA-dependent RNA polymerase is directly responsible for viral RNA transcription and replication, and plays key roles in the viral life cycle, which is considered an important target of anti-influenza drug design. From the point of view of medicinal chemistry, this review summarizes current advances in diverse small-molecule inhibitors targeting influenza virus RNA-dependent RNA polymerase, hoping to provide valuable reference for development of novel antiviral drugs.

Objective:To evaluate the reoperation of abdominal metastasis after liver resection for hepatocellular carcinoma (HCC).Methods:The data of 2748 patients with liver cancer undergoing surgical resection at the Department of Hepatobiliary and Pancreatic Surgery of Li Huili Hospital of Ningbo Medical Center from January 2010 to January 2022 were retrospectively screened. A total of 19 patients with abdominal metastases after liver resection undergoing reoperation were enrolled, which were all males with a median age of 53 years (27 to 68). The surgical procedures and diagnosis for abdominal metastases were recorded, and the recurrence and survival of patients were followed up.Results:During the follow-ups of initial resection of HCC, 10 patients were diagnosed with postoperative abdominal metastasis by enhanced CT, and seven patients were diagnosed by MRI. MRI and PET/CT were negative in two patients. Abdominal metastasis was found during reoperation in one case and liver transplantation in the other case due to postoperative liver recurrence. All 19 patients successfully underwent radical resection of abdominal metastases. Eighteen patients underwent open surgery and one underwent laparoscopic surgery. Among them, nine cases underwent simple metastases resection, six combined liver resection, one combined liver resection and right hemicolectomy, one combined partial rectal resection, one combined partial small bowel resection, and one combined liver transplantation. The 1-year, 3-year, and 5-year disease-free survival rates were 26.3%, 15.8%, 10.5%, respectively. The 1-year, 3-year, and 5-year overall survival rates were 94.7%, 26.3%, 15.8%, respectively. Three patients are currently surviving disease-free for 154.3 months, 67.3 months, and 33.4 months, respectively. These three patients all had single abdominal metastase and did not receive any targeted or immune treatments after surgery.Conclusion:For patients with localized or single abdominal metastases after HCC surgery, reoperation for metastases can bring survival benefits.

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.