ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

Objective: To identify influencing factors associated with the prognosis of sepsis patients receiving blood component transfusion, and to provide a more rational and scientific transfusion strategy for clinical management. Methods: Clinical data of 232 patients with sepsis treated at the Second Xiangya Hospital of Central South University between January 2022 and December 2023 were retrospectively analyzed. These patients were categorized into the transfusion group (n=64) and the non-transfusion group (n=168) based on whether they received transfusions, and the patients in the transfusion group were further divided into non-survivor group (n=26) and survivor group (n=38) based on their survival outcome. Baseline characteristics and clinical characteristics were compared between two groups. Factors impacting the prognosis of sepsis patients undergoing blood component transfusion were identified using logistic regression. Results: Compared to the non-transfusion group, the transfusion group showed significantly higher levels of coagulation indicators (prothrombin time, activated partial thromboplastin time, international normalized ratio, D-dimer) and inflammatory markers (C-reactive protein, procalcitonin, interleukin-6), while the level of hemoglobin, platelet, lymphocyte, fibrinogen, albumin, blood glucose, and oxygen saturation were significantly lower (P<0.05). The [M(P , P )] for C-reactive protein (mg/L), hemoglobin (g/L), and platelet count (×10 /L) in the transfusion vs non-transfusion groups were 178.0(156.1-178) vs 102.7(74.0-119.6), 88.5(72.3-113.0) vs 110.5(101-121.8), and 63.0(26.5-156.5) vs 202.5(108.3-286.8), respectively (all P<0.05). Logistic regression analysis revealed that hemoglobin level, platelet count, lactate concentration, and the storage duration of transfused red blood cells were independent risk factors affecting the survival outcomes of sepsis patients receiving transfusions (P<0.05). In septic transfusion patients, the [M(P , P )] lactate concentration (mmol/L) and RBC storage time (d) in the non-survivor vs survivor groups were 3.5(1.9-7.7) vs 2.1(1.3-3.5), 18.0 (13.0-18.0) vs 12.0(9.0-14.0), respectively (both P<0.05). Conclusion: Compared to non-transfused sepsis patients, those receiving transfusions exhibited poorer baseline conditions, more severe infections, and worse survival outcomes. More importantly, the study found that the timing of transfusion decisions and the quality control of blood products (such as storage duration) may directly impact patient prognosis, providing critical evidence for optimizing transfusion strategies in septicemia patients.

Objective: To identify influencing factors associated with the prognosis of sepsis patients receiving blood component transfusion, and to provide a more rational and scientific transfusion strategy for clinical management. Methods: Clinical data of 232 patients with sepsis treated at the Second Xiangya Hospital of Central South University between January 2022 and December 2023 were retrospectively analyzed. These patients were categorized into the transfusion group (n=64) and the non-transfusion group (n=168) based on whether they received transfusions, and the patients in the transfusion group were further divided into non-survivor group (n=26) and survivor group (n=38) based on their survival outcome. Baseline characteristics and clinical characteristics were compared between two groups. Factors impacting the prognosis of sepsis patients undergoing blood component transfusion were identified using logistic regression. Results: Compared to the non-transfusion group, the transfusion group showed significantly higher levels of coagulation indicators (prothrombin time, activated partial thromboplastin time, international normalized ratio, D-dimer) and inflammatory markers (C-reactive protein, procalcitonin, interleukin-6), while the level of hemoglobin, platelet, lymphocyte, fibrinogen, albumin, blood glucose, and oxygen saturation were significantly lower (P<0.05). The [M(P , P )] for C-reactive protein (mg/L), hemoglobin (g/L), and platelet count (×10 /L) in the transfusion vs non-transfusion groups were 178.0(156.1-178) vs 102.7(74.0-119.6), 88.5(72.3-113.0) vs 110.5(101-121.8), and 63.0(26.5-156.5) vs 202.5(108.3-286.8), respectively (all P<0.05). Logistic regression analysis revealed that hemoglobin level, platelet count, lactate concentration, and the storage duration of transfused red blood cells were independent risk factors affecting the survival outcomes of sepsis patients receiving transfusions (P<0.05). In septic transfusion patients, the [M(P , P )] lactate concentration (mmol/L) and RBC storage time (d) in the non-survivor vs survivor groups were 3.5(1.9-7.7) vs 2.1(1.3-3.5), 18.0 (13.0-18.0) vs 12.0(9.0-14.0), respectively (both P<0.05). Conclusion: Compared to non-transfused sepsis patients, those receiving transfusions exhibited poorer baseline conditions, more severe infections, and worse survival outcomes. More importantly, the study found that the timing of transfusion decisions and the quality control of blood products (such as storage duration) may directly impact patient prognosis, providing critical evidence for optimizing transfusion strategies in septicemia patients.

Objective: To translate the Menopause Perception Scale (MPS) into Chinese, and evaluate the reliability and validity of the Chinese version of the MPS. Methods: The MPS was translated back-translated, culturally adapted and pre-tested according to the Brislin translation model to develop the Chinese version of MPS. The menopausal women from five communities were selected using simple random sampling to assess the reliability and validity of the Chinese version of MPS. Content validity was evaluated based on expert ratings, criterion-related validity was evaluated using the Chinese version of the Menopause Rating Scale (MRS) as the criterion. Structural validity was evaluated using exploratory factor analysis and confirmatory factor analysis. Internal consistency was evaluated using Cronbach's α, and split-half reliability and test-retest reliability were calculated. Results: Totally 430 questionnaires were allocated, and 414 valid questionnaires were recovered, with an effective recovery rate of 96.28%. The Chinese version of the MPS consisted of 18 items across four dimensions: acceptance, sexual perception, normalization, and support perception. The item-level content validity index ranged from 0.833 to 1.000, and the scale-level content validity index average was 0.924. The correlation coefficients between the scores of each dimension and the total scores of the Chinese version of the MPS and the Chinese version of the MRS ranged from 0.529 to 0.790 (all P<0.05). Exploratory factor analysis extracted four common factors, with a cumulative variance contribution rate of 64.502%. Confirmatory factor analysis showed good model fit, with a root mean square error of approximation of 0.052, root mean square residual of 0.053, comparative fit index of 0.958, Tucker-Lewis index of 0.950, goodness of fit index of 0.908, incremental fit index of 0.958, and relative fit index of 0.884. The Cronbach's α of the Chinese version of the MPS was 0.916, the split-half reliability coefficient was 0.845, and the test-retest reliability was 0.906. Conclusion The Chinese version of the MPS demonstrates good reliability and validity, and can be used to assess the perceptions and attitudes of menopausal women in China toward menopause.

In order to solve the problems of difficult test, high cost and long cycle in the development of large-scale airborne negative pressure isolation system, the simulation analysis of negative pressure response characteristics is carried out around various aviation conditions such as aircraft ascending, leveling and descending, especially rapid decompression, based on the computational fluid dynamics (CFD) method. The results showed that the isolation cabin could achieve -50 Pa pressure difference environment and form a certain pressure gradient. The exhaust air volume reached the maximum value in the early stage of the aircraft's ascent, and gradually decreased with the increase of altitude until it was level flying. In the process of aircraft descent, the exhaust fan could theoretically maintain a pressure difference far below -50 Pa without working; Under the special condition of rapid pressure loss, it was difficult to deal with the rapid change of low pressure only by the exhaust fan, so it was necessary to design safety valve and other anti-leakage measures in the isolation cabin structure. Therefore, the initial stage of aircraft ascent is the key stage for the adjustment and control of the negative pressure isolation system. By controlling the exhaust air volume and adjusting parameters, it can adapt to the change of low pressure under normal flight conditions, form a relatively stable negative pressure environment, and meet the needs of biological control, isolation and transport.
Aircraft ; Computer Simulation ; Aviation/instrumentation* ; Humans ; Hydrodynamics ; Air Pressure ; Equipment Design ; Pressure

The continuous emergence of SARS-CoV-2 variants as well as other potential future coronavirus has challenged the effectiveness of current COVID-19 vaccines. Therefore, there remains a need for alternative antivirals that target processes less susceptible to mutations, such as the formation of six-helix bundle (6-HB) during the viral fusion step of host cell entry. In this study, a novel high-throughput screening (HTS) assay employing a yeast-two-hybrid (Y2H) system was established to identify inhibitors of HR1/HR2 interaction. The compound IMB-9C, which achieved single-digit micromolar inhibition of SARS-CoV-2 and its Omicron variants with low cytotoxicity, was selected. IMB-9C effectively blocks the HR1/HR2 interaction in vitro and inhibits SARS-CoV-2-S-mediated cell-cell fusion. It binds to both HR1 and HR2 through non-covalent interaction and influences the secondary structure of HR1/HR2 complex. In addition, virtual docking and site-mutagenesis results suggest that amino acid residues A930, I931, K933, T941, and L945 are critical for IMB-9C binding to HR1. Collectively, in this study, we have developed a novel screening method for HR1/HR2 interaction inhibitors and identified IMB-9C as a potential antiviral small molecule against COVID-19 and its variants.

In order to detect the environmental data of isolated cabin under various environmental conditions,a negative pressure cabin environment detector for aviation was developed,which was composed of a shell,a differential pressure transmitter,a pressure sensor,a carbon dioxide concentration sensor,an oxygen concentration sensor,a temperature and humidity sensor,a data processing module,a liquid crystal display(LCD)screen and USB data interface.It could environmental data such as carbon dioxide concentration,oxygen concentration,temperature,humidity,pressure difference between cabin and outside the cabin and air pressure outside the cabin in real time,the data processing module collected and processed the data,the data and data change curves was displayed in real time by the LCD screen,and the detection data was extracted through the USB data interface.When used in aviation environment,the detector could work continuously without fault for no less than 300 hours,and the average fault repair time was about 30 minutes,with good performance and high detection accuracy,which can provide convenience for the environmental data detection of negative pressure cabins,and is worthy of popularization.

Objective:To estimate tissue/organ doses and effective dose to operators in the overexposure incident during an interventional procedure using Monte Carlo method.Methods:The phantoms were constructed for both the operators and the patient based on the adult mesh-type reference computational phantoms (MRCPs) recommended by the International Commission on Radiological Protection (ICRP) Publication 145 and phantom deformation technology. Models of exposure scenario were constructed based on the on-site equipment and the irradiation conditions. The Monte Carlod simulation method was used to evaluate the absorbed dose to critical tissues and organs, such as the operator′s eye lens and thyroid, as well as the effective dose.Results:In the particular exposure conditions, the maximum absorbed doses in the primary organs of the two operators were in the left eye lens, with doses of 1.216 and 0.223 mGy, respectively. The thyroid absorbed doses were 0.074 and 0.019 mGy, while the effective doses to the two operators were 0.088 and 0.021 mSv, respectively. The reduction rates of effective dose for the two operators when wearing lead aprons and lead thyroid collars were 67.16% and 78.79%, respectively.Conclusions:The combination of Monte Carlo method and MRCPs can be used to restore a specific irradiation scenario to a high degree and to estimate the physical dose of to the irradiated persons.

Objective:To discuss the effect of urolithin C(UC)on the proliferation,apoptosis,and autophagy of the acute myeloid leukemia(AML)HL-60 cells,and to clarify its mechanism.Methods:The HL-60 cells were divided into different concentrations(20,40,60,80,and 100 μmol·L-1)of urolithin A(UA)groups,urolithin B(UB)groups,and UC groups.CCK-8 assay was used to detect the proliferation activity of the cells in various groups;the morphology of the cells in different concentrations of UC groups was observed under optical microscope.The HL-60 cells were divided into different concentrations(0,20,40,and 80 μmol·L-1)of UC groups and 3-methyladenine(3-MA)combined with different concentrations(0,20,40,and 80 μmol·L-1)of UC groups.CCK-8 assay was used to detect the proliferation activities of the cells in various groups.The HL-60 cells were divided into control group(0 μmol·L-1)and different concentrations(20,40,and 80 μmol·L-1)of UC groups.The live/dead cell staining method was used to detect the dead rates of the cells in various groups;flow cytometry was used to detect the apoptotic rates of the cells in various groups;the autophagy of the cells was detected by autophagy staining kit(monodansylcadaverine,MDC)method;real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression levels of Beclin 1,autophagy related gene 9(ATG9),and autophagy related gene 7(ATG7)mRNA in the cells in various groups;Western blotting method was used to detect the expression levels of cysteinyl aspartate specific proteinase-3(Caspase-3),cleaved cysteinyl aspartate specific proteinase-3(Cleaved Caspase-3),microtubule-associated protein 1 light 3(LC-3),extracellular regulated protein kinases(ERK),phosphorylated ERK(p-ERK),AMP-activated protein kinase(AMPK),and phosphorylated AMPK(p-AMPK)in the cells in various groups.Results:The CCK-8 assay results showed that after cultured for 24,48,and 72 h,compared with 0 μmol·L-1 UA,UB,and UC groups,the proliferation activities of the cells in different concentrations of UA,UB,and UC groups were decreased(P＜0.01)with a concentration-and time-dependent manner;at 48 h,compared with UA and UB,the half-maximal inhibitory concentration(IC50)of UC was the lowest.The cell morphology observation results showed that compared with control group,the intercellular connection and the number of the cells were decreased with the increasing of UC concentration,and the cell fragment was increased.The CCK-8 assay results showed that compared with 40 and 80 μmol·L-1 UC groups,the proliferation activities of the cells in 3-MA combined with 40 and 80 μmol·L-1 UC groups were increased(P＜0.05 or P＜0.01).The live/dead cell staining results showed that compared with control group,the dead rates of the cells in 40 and 80 μmol·L-1 UC groups were increased(P＜0.01).The flow cytometry results showed that compared with control group,the apoptotic rate of the cells in 80 μmol·L-1 UC group was increased(P＜0.01).The MDC method results showed that with the increasing of UC concentration,the green fluorescence in the cells in different concentrations of UC groups was gradually intensified.The RT-qPCR results showed that compared with control group,the expression levels of Beclin 1,ATG9,and ATG7 mRNA in the cells in 80 μmol·L-1 UC group were increased(P＜0.01).The Western blotting results showed that compared with control group,the expression levels of Cleaved Caspase-3 protein in the cells in 20,40,and 80 μmol·L-1 UC groups were increased(P＜0.01),the ratio of membrane LC3/cytoplasmic LC3(LC3-Ⅱ/LC3-Ⅰ)in the cells in 80 μmol·L-1 UC group was increased(P＜0.05),and the ratios of p-AMPK/AMPK and p-ERK/ERK in the cells in 40 and 80 μmol·L-1 UC groups were increased(P＜0.01).Conclusion:UC can inhibit the proliferation of the AML HL-60 cells,induce the apoptosis and autophagy,and increase the phosphorylation levels of ERK and AMPK proteins in the cells.