A sandglass ladder residual network(SLRN)is proposed for multi-label chest X-ray classification,thereby improving the accuracy of clinical diagnosis.SLRN consists of 3 key modules:(1)a sandglass convolutional module to simultaneously extract inter-channel and spatial information;(2)a ladder self attention block to achieve different window divisions through shift operations,expand the receptive field,and realize multi-scale feature extraction and fusion;(3)class specific residual attention in the multi-label classification stage to capture the correlation between different labels and the importance of features for accomplishing more accurate classification by adjusting the weights of different features.The proposed model is validated using the IU X-Ray dataset collected by Indiana University and the publicly available Chest X-Ray14 dataset collected by the National Institutes of Health in the United States;and the results demonstrate that SLRN which combines the advantages of convolutional neural network and vision transformer enables the capture of local features and global correlations in images,better handles long-distance dependencies,and assists doctors in clinical diagnosis.

Objective To construct and validate an interpretable machine learning model integrating contrast-enhanced venous phase CT radiomics and clinical features for preoperative prediction of central lymph node metastasis(CLNM)of papillary thyroid carcinoma(PTC).Methods A case-control study was conducted on 243 histologically confirmed PTC patients.Among them,196 patients from the First Affiliated Hospital of Army Medical University were randomly allocated into a training set(n=137)and an internal validation set(n=59)at a 7:3 ratio,while the left 47 patients from No.958 Hospital of PLA Army were assigned into an external validation set.All participants completed standardized preoperative contrast-enhanced neck CT scanning.Quantitative radiomic features were systematically extracted from venous phase CT images through an open-source big data AI platform.Six machine learning classifiers,eXtreme Gradient Boosting(XGBoost),Support Vector Machine(SVM),Random Forest(RF),Logistic Regression(LR),k-Nearest Neighbors(KNN),and Decision Tree(DT)were implemented to construct clinical-radiomics integration models.The predictive performance was quantitatively assessed through receiver operating characteristic(ROC)curve analysis,with area under the curve(AUC)values calculated for training,internal validation,and external validation sets.Model interpretability was achieved using Shapley additive explanations(SHAP)framework,with particular focus on elucidating feature contributions in the best-performing model.Results The XGBoost model had an AUC value of 0.936(95%CI:0.895～0.976),0.832(95%CI:0.724～0.941),and 0.772(95%CI:0.632～0.912)in training,internal and external validation sets,respectively.SHAP analysis revealed age as the most influential clinical predictor,with younger patients showing higher CLNM risk(OR=0.968,P=0.042).Conclusion Our machine learning-based clinic-radiomic prediction model demonstrates satisfactory performance in predicting CLNM of PTC,providing valuable references for clinical decision-making.

The study explored the therapeutic effect and mechanism of the compound composed of tangerine peel,plum,agrimony and hawthorn on Eimeria tenella in chicks.In the experiment,144 chicks were divided into six groups:the blank group,the model group,the diclazuril group,and the high-dose,medium-dose and low-dose traditional Chinese medicine compound groups.The 14-day-old chickens were infected,the body weight and mortality were recorded,and the samples were dis-sected at 21 days of age.The anticoccidial effect of Chenpi compound at different doses was evalua-ted by calculating anticoccidial index,feed conversion rate and detecting serum cytokine levels and related mRNA expression levels.The results showed that the anticoccidial index of the middle dose group was 172.86,and the anticoccidial index of the low dose group was 158.98.In the middle and low dose groups,the levels of IL-1β,IL-6 and MDA in serum decreased significantly,while the levels of IL-4,IL10,T-AOC,SOD,CAT and GSH-Px increased significantly,and the mRNA ex-pression levels of related inflammation and antioxidant pathways changed.Further studies found that the medium-dose compound can regulate the ChTLR15/ChMyD88/ChNF-κB/ChNLRP3/Caspase-1 inflammatory signaling pathway,activate the Nrf2/Keap1/HO-1 antioxidant signaling pathway,and enhance the body's anti-inflammatory and antioxidant capacity;at the same time,it can increase the expression of intestinal tight junction ZO-1 and Occludin,repair the damaged in-testinal barrier,and play an anticoccidial role.The results showed that the middle dose of tangerine peel compound had a good effect in the treatment of coccidiosis,and its mechanism involved the regulation of anti-inflammatory and antioxidant pathways.

A sandglass ladder residual network(SLRN)is proposed for multi-label chest X-ray classification,thereby improving the accuracy of clinical diagnosis.SLRN consists of 3 key modules:(1)a sandglass convolutional module to simultaneously extract inter-channel and spatial information;(2)a ladder self attention block to achieve different window divisions through shift operations,expand the receptive field,and realize multi-scale feature extraction and fusion;(3)class specific residual attention in the multi-label classification stage to capture the correlation between different labels and the importance of features for accomplishing more accurate classification by adjusting the weights of different features.The proposed model is validated using the IU X-Ray dataset collected by Indiana University and the publicly available Chest X-Ray14 dataset collected by the National Institutes of Health in the United States;and the results demonstrate that SLRN which combines the advantages of convolutional neural network and vision transformer enables the capture of local features and global correlations in images,better handles long-distance dependencies,and assists doctors in clinical diagnosis.

The study explored the therapeutic effect and mechanism of the compound composed of tangerine peel,plum,agrimony and hawthorn on Eimeria tenella in chicks.In the experiment,144 chicks were divided into six groups:the blank group,the model group,the diclazuril group,and the high-dose,medium-dose and low-dose traditional Chinese medicine compound groups.The 14-day-old chickens were infected,the body weight and mortality were recorded,and the samples were dis-sected at 21 days of age.The anticoccidial effect of Chenpi compound at different doses was evalua-ted by calculating anticoccidial index,feed conversion rate and detecting serum cytokine levels and related mRNA expression levels.The results showed that the anticoccidial index of the middle dose group was 172.86,and the anticoccidial index of the low dose group was 158.98.In the middle and low dose groups,the levels of IL-1β,IL-6 and MDA in serum decreased significantly,while the levels of IL-4,IL10,T-AOC,SOD,CAT and GSH-Px increased significantly,and the mRNA ex-pression levels of related inflammation and antioxidant pathways changed.Further studies found that the medium-dose compound can regulate the ChTLR15/ChMyD88/ChNF-κB/ChNLRP3/Caspase-1 inflammatory signaling pathway,activate the Nrf2/Keap1/HO-1 antioxidant signaling pathway,and enhance the body's anti-inflammatory and antioxidant capacity;at the same time,it can increase the expression of intestinal tight junction ZO-1 and Occludin,repair the damaged in-testinal barrier,and play an anticoccidial role.The results showed that the middle dose of tangerine peel compound had a good effect in the treatment of coccidiosis,and its mechanism involved the regulation of anti-inflammatory and antioxidant pathways.

Objective To analyze the relationship between the expression of hsa_circ_401724 and the in-flammatory response in type 2 diabetes mellitus(T2DM)patients and pancreatic islet cell function.Methods A total of 102 patients with T2DM treated in Linfen Central Hospital from April 2017 to December 2022 were selected as the observation group,and 100 healthy subjects with normal glucose tolerance were se-lected as the control group during the same period.The levels of tumor necrosis factor α(TNF-α),interleukin-6(IL-6)and intercellular adhesion molecule-1(ICAM-1)in the blood of the subjects were detected by en-zyme-linked immunosorbent assay to evaluate the levels of inflammatory factors in the subjects.The relative expression level of hsa_circ_401724/U6 was calculated according to the dissolution curve,and the pancreatic islet cell function of the subjects was assessed,including homeostasis model assessment of insulin resistance(HOMA-IR)and homeostatic model assessment beta cell function(HOMA-β)as assessed by homeostasis model.Pearson correlation was used to analyze the correlation between hsa_circ_401724 expression level and inflammation and pancreatic islet cell function,and Logistics regression model was used to analyze the rela-tionship between hsa_circ_401724 expression level and inflammation and pancreatic islet cell function.Results The levels of HOMA-IR,TNF-α,IL-6 and ICAM-1 in observation group were significantly higher than those in control group,while the levels of HOMA-β in observation group were significantly lower than those in control group,with statistical significance(P＜0.05).The relative expression level of hsa_circ_401724 in observation group(0.75±0.13)was significantly higher than that in control group(0.24±0.06),and the difference was statistically significant(P＜0.05).The levels of HOMA-IR,TNF-α,IL-6 and ICAM-1 in hsa_circ_401724 high expression group were significantly higher than those in hsa_circ_401724 low expres-sion group,and the levels of HOMA-β were significantly lower than those in hsa_circ_401724 low expression group.The difference was statistically significant(P＜0.05).The relative expression level of hsa_circ_401724 was positively correlated with the levels of HOMA-IR,TNF-α,IL-6 and ICAM-1(r=0.657,0.671,0.703,0.698,P＜0.05).hsa_circ_401724 expression level was negatively correlated with HOMA-β level(r=-0.611,P＜0.05).The high expression of hsa_circ_401724 was an independent risk factor affecting the levels of HOMA-IR,HOMA-β,TNF-α,IL-6 and ICAM-1 in T2DM patients(P＜0.05).Conclusion The high ex-pression of hsa_circ_401724 is related to the inflammatory response and the decline of pancreatic islet cell function in T2DM patients.

OBJECTIVE To establish the HPLC fingerprint of Jianpi huayu decoction， and to determine the contents of 8 components. METHODS Thermo Hypersil Gold C18 column was used with mobile phase consisted of methanol-0.05% phosphoric acid aqueous solution （gradient elution） at the flow rate of 1.0 mL/min. The column temperature was 30 ℃， the injection volume was 5 μL. The detection wavelength of matrine was 211 nm， and the other components’ detection wavelength was 283 nm. The similarity evaluation of HPLC fingerprints for 10 batches of Jianpi huayu decoction was performed by using the Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）. The contents of chlorogenic acid， vanillic acid， p-coumaric acid， ferulic acid， hesperidin， quercetin， bergapten and matrine in the samples were determined by HPLC. RESULTS HPLC fingerprint of Jianpi huayu decoction was established. A total of 27 common peaks were identified， and 8 components were identified. The similarity between 10 batches of samples and the control map ranged from 0.942-0.999. RSDs of precision， repeatability and stability tests were less than 3% （n＝6）. The average recoveries of chlorogenic acid， vanillic acid， p-coumaric acid， ferulic acid， hesperidin， quercetin， bergapten and matrine were 99.48%， 101.32%， 101.18%， 100.79%， 101.12%， 99.19%， 99.81% and 102.46%， respectively； RSDs were 1.34%， 0.93%， 1.90%， 1.84%， 0.54%， 1.53%， 1.33% and 1.01%， respectively （n＝6）. The contents were 0.021-0.061， 0.025-0.034， 0.116-0.295， 0.006- 0.062， 0.014-0.053， 0.017-0.026， 0.014-0.027 and 14.05-24.11 mg/g， respectively. CONCLUSIONS The established fingerprint and content determination method can provide a reference for the quality control and subsequent preparation development for Jianpi huayu decoction.

Objective: To explore the effect of miR-3188 on the proliferation, apoptosis, invasion and migration of gastric cancer cells and the underlying molecular mechanism. Methods: The expression level of miR-3188 was examined in normal human gastric mucosal cells(GES-1) and human gastric cancer cell lines(HGC-27,MGC-803,BGC-823,MKN-45) by qRT-PCR. It was determined by bioinformatic analysis and dual luciferase reporter assay whether NRAGE was the target gene of miR-3188.miR-3188 mimic, miR-3188 inhibitor and negative control miR-NC were transfected into gastric cancer cell line HGC-27 respectively, and the expression of NRAGE on protein and mRNA levels was detected by Western blot and qRT-PCR. miR-3188 mimic, NRAGE overexpression plasmid(pc-NRAGE) and its negative control(miR-NC,pc-control) were separately or co-transfected into gastric cancer cell line HGC-27. CCK-8, flow cytometry and Transwell experiment were used to detect cell proliferation, apoptosis, invasion and migration in each group. The expressions of epithelial-mesenchymal transition(EMT), proliferation, apoptosis, invasion and migration related proteins [CyclinD 1,matrix metalloproteinase 9(MMP 9),Bcl-2,N-cadherin, Vimentin, E-cadherin] in each group were detected by Western blot. Results: The expression of miR-3188 in human gastric cancer cell lines was lower than that of human normal gastric mucosal cells. Bioinformatics analysis and dual luciferase reporter assay confirmed that miR-3188 could target and bind to NRAGE 3′UTR.Western blot and qRT-PCR confirmed that miR-3188 negatively regulated the expression of NRAGE on the protein level in HGC-27 cells, but not on the mRNA level. Compared with the miR-NC group, Transfected miR-3188 mimic reduced the proliferation, invasion and migration ability of HGC-27 cells, and increased the apoptosis rate, and the co-transfection of pc-NRAGE could reverse the above effects. Compared with the miR-NC group, when miR-3188 was overexpressed in HGC-27 cell, the expression of cyclinD 1, MMP 9, Bcl-2, N-cadherin, and Vimentin was down regulated, while E-cadherin expression was up-regulated, and the above effects could be reversed by co-transfection with pc-NRAGE. Conclusion The miR-3188/NRAGE axis may play important roles in the progression of gastric cancer, and miR-3188 may be a potential therapeutic target for gastric cancer.

Objective To investigate clinical effect of local decompression and selective interbody fusion with pedicle screw fixation technique for the treatment of degenerative lumbar scoliosis. Methods Medical records of 122 degenerative lumbar scoliosis patients were retrospectively studied. All cases were treated by selective interbody fusion,local decompression and pedicle screw fixation. Group A(L5 fusion)and group B(S1 fusion)un?derwent imaging analysis,and Suk criteria was used to evaluate the fixation,decompression,bone graft fusion. JOA scores were used to evaluate curative effect of excellent and good rate. Results There were no significant difference in operating time,blood loss and postoperative drainage volume between two groups. Follow?up period for all patients is(16.2 ± 0.8)months. X?ray revealed that Cobb′s angle on the coronal plane,the correction rate of lor?dosis and sagittal Cobb′s angle after treatment,the correction rate of lordosis in group B were better than in group A (P<0.05). There were no significant differences in intervertebral fusion rate,low back pain score of JOA and the effective rate at final follow?up between two groups(P>0.05). There was no infection or screw breakage and pulling out. The incidence rate of adjacent vertebral body disease in group A was higher than that in group B(P < 0.05). Conclusions Local decompression and selective interbody fusion with pedicle screw fixation technique for the treat?ment of degenerative lumbar scoliosis can produce satisfactory short to mid?term clinical curative effect.

Objective In order to improve the accuracy and efficiency of the measurement of range of motion (ROM) of human lower limbs and simplify process of ROM measurement,an automatic measurement of ROM of human lower limbs based on Kinect technique was proposed and tested in this study.Methods Fifty examinee were randomly divided into 5 groups,namely groups a,b,c,d and e,respectively,each group had 10 members.Using the human skeleton tracking technology from Kinect,the positions of the examinee's lower limbs were captured and tracked by processing the depth data of lower limbs' key joints.Then the information of ROM of hip and knee was output on human-computer interaction interface in real-time.By comparison with traditional manual measurement results,the accuracy of automatic measuring method could be verified.Meanwhile,with the aid of speech recognition and output technology,the mode of warning information transfer and the way of subject switch were optimized.Results According to the method of Grubbs-test and t-test,the ROM values | t | from the subjects' hip abduction (t =0.57,P =0.597),hip adduction (t =0.52,P =0.621),hip anteflexion (t =1.01,P =0.371),hip postextension (t =0.12,P =0.902),hip external rotation (t =0.00,P =1.000),hip internal rotation (t =0.34,P =0.753),knee flexion and extension (t =1.12,P =0.280) all were under the threshold value t0.025 (4) =2.776 on the premise of a level of significance α =0.05,which indicated that there was no significant difference between measured results and expected values(P ＞ 0.05).Conclusion The automatic measurement of ROM of lower limbs can be realized which can improve the measurement accuracy,simplify the measurement process and enhance the practicability of ROM of lower limbs measurement.