Near infrared spectroscopy(NIRS)technology combined with chemometrics algorithms has been widely used in quantitative and qualitative analysis of food and medicine.However,traditional chemometrics methods,especially linear classification methods,often yield unsatisfactory results when addressing multi-class classification problems.Convolutional neural network(CNN)is adept at extracting deep-level features from data and suitable for handling non-linear relationships.The modeling performance of CNN depends on the size and diversity of sample,while the collection and preprocessing of NIRS sample data is often time-consuming and labor-intensive.This study proposed a NIRS qualitative analysis method based on data augmentation strategies and CNN.The data augmentation strategy included two steps.Firstly,applying Bootstrap resampling and generative adversarial network(GAN)methods to augment three NIRS datasets(Medicine,coffee and grape).Secondly,combining the original samples(Y)with the Bootstrap augmented samples(B)and GAN augmented samples(G)to obtain three augmented datasets(Y-B,Y-G and Y-B-G).Based on this,a CNN model structure suitable for these datasets was designed,consisting of 2 one-dimensional convolutional layers,1 max-pooling layer,and 1 fully connected layer.The results showed that compared to the optimal models of partial least squares discriminant analysis(PLS-DA),support vector machine(SVM),and back propagation neural network(BP),the CNN model based on Y-B dataset achieved average accuracy improvements of 3.998%,9.364%,and 4.689%for medicine(Binary classification);the CNN model based on the Y-B-G dataset achieved average accuracy improvements of 6.001%,2.004%,and 7.523%for coffee(7-class classification);and the CNN model based on the Y-B dataset achieved average accuracy improvements of 33.408%,51.994%,and 34.378%for grapes(20-class classification).It was evident that the models established based on data augmentation strategies and CNN demonstrated better classification accuracy and generalization performance with different datasets and classification categories.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To investigate the effect of artemisinin(ART)on the malignant biological behavior of colorectal cancer(CRC)cells stimulated by glucose and its mechanism.Methods The concentration gradients of 0,5,10,20,40 and 60 μmol/L of ART were used to treat the human colorectal cancer cell line SW480,and then the cell viability was detected by CCK-8.Cell apoptosis was detected by flow cytometry.Transwell was used to detect the cell migration and invasion.Western blot was used to detect the apoptosis,epithelial-mesenchymal transition(EMT)and Janus kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3)related proteins expression.Results Compared with the 0 μmol/L of ART,the viability of SW480 cells decreased under 5,10,20,40,60 μmol/L of ART treatment(P<0.05),and IC50 was 36.91 μmol/L.Therefore,the cells treated with 10,20 and 40 μmol/L of ART were as the low-dose,medium-dose and high-dose ART groups,the cells treated with 0 μmol/L of ART were as the control group,and the cells treated with 40 μmol/L of ART and 10 μmol/L of Coumermycin A1 were as the Coumermycin A1 group.Compared with the control group,the cell scratch wound healing rate,invasion ability,and expression levels of Bcl-2,N-cadherin,Vimentin,p-JAK2,and p-STAT3 in the low-dose ART group,the medium-dose ART group,and the high-dose ART group decreased obviously(P<0.05),while the apoptosis rate,and expression levels of Bax,Caspase-3 and E-cadherin increased(P<0.05).Compared with the high-dose ART group,the cell scratch wound healing rate,invasion ability,and expression levels of Bcl-2,N-cadherin,Vimentin,p-JAK2,and p-STAT3 in the Coumermycin A1 group increased obviously(P<0.05),while the apoptosis rate,and expression levels of Bax,Caspase-3 and E-cadherin decreased(P<0.05).Conclusion ART may inhibit the viability,migration,invasion and EMT of glucose-stimulated CRC cells and promote apoptosis by inhibiting the JAK2/STAT3 signaling pathway.

Aim To predict the potential mechanism of ophiopogonin D (OPD) against pulmonary fibrosis by network pharmacology, and further verify it by experiment in vivo. Methods This study found that ophiopogon was the most frequently used drug in the treatment of pulmonary fibrosis with deficiency of Qi and Yin through data mining. In order to explore its material basis, network pharmacology analysis was carried out. A model of pulmonary fibrosis was established by bleomycin, and different concentrations of ophiopogonin D were administered to verify the results of the pharmacological network. Results Firstly, through network pharmacology analysis, it was found that mitophagy might be the potential target for ophiopogon to exert anti-pulmonary fibrosis effect. Meanwhile, network topology analysis showed that OPD had the greatest relationship with mitophagy. Animal experiments showed that OPD could relieve pulmonary fibrosis and reduce collagen deposition in mice. At the same time, the detection of mitophagy related proteins showed that the compound could increase the expression of PINK1 and Parkin proteins, reduce the content of P62 protein in lung tissue, and reduce the intracellular ROS level. Conclusions OPD can improve mitochondrial function and play an anti-pulmonary fibrosis role by promoting PINKl/Parkin dependent mitophagy in lung tissue.

Objective:To investigate the impact of the deep learning reconstruction algorithm TrueFidelity TM for Gemstone Spectral Imaging (TF-GSI) and the adaptive statistical iterative reconstruction algorithm (ASiR-V, hereinafter referred to as ASiR-V) based on phantom and animal models on the image quality of dual-energy CT images. Methods:GE Revolution Apex CT was used to scan the ACR 464 phantom and a mouse model of gastric cancer with lymph node metastasis ( n=16). TF-GSI and ASiR-V were separately used to reconstruct middle and high-grade images (TF-GSI-M, TF-GSI-H, ASiR-V-50%, and ASiR-V-100%) on the phantom and mouse based on virtual monoenergetic images at 70 keV. The task transfer function (TTF) of bone and acrylic, image noise power spectrum (NPS), and detectability index (d′) of the phantom images were evaluated. One-way ANOVA analysis was used to compare the image noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) for brain and liver on images of mice. The consistency of the two reconstruction-algorithm images (TF-GSI-H and ASiR-V100%) in the detection of small lesions by two radiologists (A and B) was evaluated using kappa test. Results:In terms of the phantom, the TF-GSI-H group had the best performance in TTF, NPS, and d′. Compared to ASiR-V-100%, the TTF50% of bone and acrylic in the TF-GSI-H group increased by 2.4% and 8.9%, respectively; the NPS peak decreased by 54.1%, compared to ASiR-V-100%; the d′ of bone and acrylic in the TF-GSI-H group relative to ASiR-V-100% increased by 52.7% and 59.5%, respectively. The TF-GSI group had reduced image noise compared to the ASiR-V group, and both SNR and CNR of the two tissues increased, but the differences between the groups were not statistically significant (all P>0.05). The two reconstruction-algorithm images showed good consistency in image evaluation by the two radiologists (A, Kappa=0.875, P<0.001; B, Kappa=0.625, P=0.012). In terms of the detection of micro-metastases in mice, the TF-GSI group outperformed the ASiR-V group (average accuracy: 83.5% vs 71.9%; average sensitivity: 77.8% vs 61.2%; average specificity: 85.7% vs 85.7%). Conclusion:Compared with iterative reconstruction algorithm, the DLIR algorithm showed improved spatial resolution, reduced image noise, and enabled detectability of micro-lesion for images from dual-energy CT.

Objective: To evaluate the consistency of patient-completed and physician-completed Caprini scores. Methods: This study was a diagnostic study. We prospectively recruited 200 inpatients (including respiratory and critical care medicine, rheumatology and immunology, obstetrics and gynecology, and orthopedics). Clinical data of the recruited patients were collected. The Wechat applet was developed based on the Chinese version of the patient-completed Caprini score. Patient could enter the Wechat applet by scanning the QR code, and enter the height, weight and other contents to the Wechat applet. The applet could automatically calculate the score and make the risk stratification according to total score. At the same time, physicians would calculate the traditional Caprini score for the same patient and make risk stratification to evaluate the consistency of scores derived from the two methods. Results: The average age of these 200 patients was (59.6±13.9) years, 112(56.0%) of them were female and 184(92.0%) with high school education or above. There was no significant difference between the patient-completed and physician-completed scores (4.8±2.5 vs. 4.7±2.5,P=0.336). The time of physician-completed score was shorter than that of patient-completed score ((2.0±1.0) minutes vs.(2.4±1.2) minutes, P<0.000 1). There was no significant difference on the number of high-highest venous thromboembolism risk patients assessed by the patient-completed and the physician-completed scores: 84.5% (169/200) vs. 83.0%(166/200)(χ²=0.165, P=0.684).There was strong positive correlations between patient-completed and physician-completed scores (r=0.98, P<0.000 1). Cohen's ĸ evaluation showed that the patient-completed Caprini score was in excellent consistency with physician-completed Caprini score(κ=0.97,P<0.000 1). The result of Bland Altman method showed that only 3.0% (6/200) of the scores biased greatly, which was not within the 95% confidence interval, the result proved that the bias belonged to a small probability event. It was inferred that the scores of patient-completed were consistent with those of the physician-completed. Conclusions: The patient-completed Caprini score is in good agreement with the physician-completed Caprini score in this patient cohort.
Aged ; Cohort Studies ; Female ; Humans ; Male ; Middle Aged ; Physicians ; Retrospective Studies ; Risk Assessment/methods* ; Risk Factors ; Venous Thromboembolism

Branchial Region ; Branchioma/diagnosis* ; Humans ; Sleep ; Snoring

Hepatocellular carcinoma (HCC) is a common malignant tumor with poor prognosis and high mortality. In this study, we demonstrated a novel vaccine targeting HCC and tumor neovascular endothelial cells by fusing recombinant MHCC97H cells expressing porcine α-1,3-galactose epitopes (αGal) and endorphin extracellular domains (END) with dendritic cells (DCs) from healthy volunteers. END⁺/Gal⁺-MHCC97H/DC fusion cells induced cytotoxic T lymphocytes (CTLs) and secretion of interferon-gamma (IFN-γ). CTLs targeted cells expressing αGal and END and tumor angiogenesis. The fused cell vaccine can effectively inhibit tumor growth and prolong the survival time of human hepatoma mice, indicating the high clinical potential of this new cell based vaccine.

OBJECTIVE To explore the curative effect and mechanism of Yiqi Huoxue decoction in the treatment of coronary heart disease with Qi deficiency and blood stasis syndrome. METHODS The patients with coronary heart dis?ease of Qi deficiency and blood stasis syndrome were treated with Yiqi Huoxue decoction for 3 months, and the changes of cardiac function were observed. 61 serum samples (including 29 cases of disease group and 32 cases of Yiqi Huoxue expression group) were analyzed by non labeled proteomics. The disease group was used as the control group, and the protein with expression level difference of more than 1.2 folds (P<0.05) was screened. The molecular function, biologi?cal pathway and protein interaction of the different proteins were analyzed by bioinformatics, so as to identify the molecu?lar and biological pathway of Yiqi Huoxue decoction in the treatment of coronary heart disease with Qi deficiency and blood stasis syndrome. RESULTS Clinical treatment found that Yiqi Huoxue decoction can improve TCM syndrome score and left ventricular ejection fraction, regulate blood glucose and blood lipid levels, prolong thrombin time, and improve heart function. The results of proteomic quantitative analysis showed that there were 69 proteins with different expression levels in the disease group. Bioinformatics analysis results showed that Yiqi Huoxue decoction may regulate ApoA1, alpha-2 and other proteins to act on HDL assembly, platelet degradation, PI3K Akt signaling pathway, and then play a therapeutic role in coronary heart disease with Qi deficiency and blood stasis syndrome. CONCLUSION Yiqi Huoxue decoction can effectively improved the heart function decline caused by Qi deficiency and blood stasis syn?drome of coronary heart disease. It mainly act on energy metabolism and platelet activation pathway by activating HDL assembly and platelet degradation signal pathway proteins. This study can provide reference for the follow-up treatment mechanism of Qi deficiency and blood stasis syndrome of coronary heart disease.