"Sinew prescription correspondence" is the principle of selecting prescriptions for channel sinew diseases. On the basis of the theory of syndrome differentiation and treatment， the pulse manifestation corresponds to the channel sinew syndrome， which can improve the flexibility and standardization of clinical prescriptions. From the perspective of systematic dialectical sphygmology， this paper explains the dialectical relationship between channel sinew theory and pulse body elements， pulse wall elements， pulse elements and blood flow elements， and clarifies the internal relationship between pulse manifestation and prescriptions at the level of channel sinew disease. The prescription is derived from the method， while the method is established with the syndrome， and the prescription is unified by the method. According to the theory of "sinew prescription correspondence"， the treatment ideas of channel sinew diseases were analyzed from the perspective of channel sinew distribution， functional characteristics and structural changes. On this basis， the diagnosis of channel sinew disease and the application of prescriptions are expanded， and the research on the internal treatment and diagnosis mode of "pulse manifestation-channel sinew-zang fu （脏腑）" is prospected， so as to expand the differentiation and treatment methods of channel sinew theory.

Objective:To translate the Maastricht Clinical Teaching Questionnaire (MCTQ) into Chinese and evaluate its reliability and validity in standardized training of residents.Methods:The Chinese version of MCTQ was obtained according to the Brislin translation model, including translation, back-translation, and cross-cultural debugging. A convenient sampling survey was carried out among the trainees in the First Affiliated Hospital of Shandong First Medical University in June 2022 by using an online survey tool. A total of 562 valid questionnaires were collected. Data from valid survey questionnaires were subjected to item analysis (critical ratio method), reliability analysis (Cronbach's alpha coefficient and composite reliability), structural validity analysis (exploratory factor analysis and confirmatory factor analysis), and discriminant validity analysis using SPSS 25.0 and AMOS 24.0 software.Results:The Chinese version of MCTQ scale consisted of 24 items, which was consistent with the original scale. Four common factors were extracted with a cumulative variance contribution of 79.96%. The four-factor model demonstrated high goodness of fit. The χ2/d f, RMR, RMSEA, GFI, AGFI, NFI, and CFI were 3.491, 0.008, 0.067, 0.886, 0.861, 0.947, and 0.962, respectively. Both Cronbach's α and composite reliability exceeded 0.7, indicating high internal consistency and reliability. The correlation coefficients between the four factors ranged from 0.265 to 0.307, all of which were smaller than the corresponding square roots of average variance extracted, demonstrating high structural and discriminant validity. Conclusions:The Chinese version of MCTQ is valid and reliable in the Chinese context and can serve as a useful tool to evaluate the performance of clinical teachers during standardized residency training.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Previous studies have shown that the diversity and composition of intestinal microbiota are related to the effect of tumor immunotherapy,but the mechanism of intestinal microbiota affecting tumor immunotherapy resistance has rarely been sum-marized.This article not only expounds the current clinical sta-tus of tumor immunotherapy resistance,but also summarizes the correlation and regulatory mechanism between the composition and homeostasis of intestinal microbiota and drug resistance to different types of tumor immunotherapy,so as to provide a refer-ence for the study of potential targets for improving tumor immu-notherapy resistance based on intestinal microbiota.

Aim To explore the therapeutic effect and mechanism of Qingjie Huagong decoction in modulating PI3K/AKT/NF-κB signaling pathway in inflammatory response of acute pancreatitis(AP)mice.Methods Twenty-four mice were randomly divided into Blank group,Model group,Ustekin group,and Qingjie Hua-gong decoction group,with six mice in each group.The AP model was prepared by using rain frogin.Serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α lev-els were detected by ELISA;the pancreatic pathology was detected by HE staining;the expressions of PI3K,AKT,and NF-κB-related proteins and mRNAs were de-tected by immunohistochemistry,Western blot,and RT-qPCR.Results Compared with the blank group,the model group showed obvious pathological damage to the pancreas,with significantly higher serum α-AMS,PN-LP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels(P＜0.01),and significantly higher levels of PI3K,AKT,and NF-κB-related proteins and mRNA expression(P＜0.01).Compared with the model group,both the Qingjie Huagong decoction group and the ustekin group improved the histopathological changes in the pancreas of AP mice,decreased the serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels,and down-reg-ulated the expression levels of pancreatic PI3K,AKT,NF-κB-related proteins and mRNA(P＜0.05 or P＜0.01).Conclusion Qingjie Huagong decoction may inhibit the inflammatory response and protect pancreat-ic tissues by regulating the expression of PI3K/AKT/NF-κB signaling pathway.

Spinal cord injury(SCI)is a serious central nervous system traumatic disease that usually leads to severe neurological dysfunction below the site of injury.Studies have shown that SCI is closely related to oxidative stress,inflammatory responses,and mitochondrial dynamic imbalance.Mitochondrial dysfunction,such as accumulation of mitochondrial DNA damage,depletion of ATP,and impairment of oxidative stress regulation,can lead to dysfunction or death of neurons.Mitochondrial fusion plays a key role in maintaining energy balance and promoting neurological recovery after SCI.This review summarizes the changes in mitochondrial dynamics after SCI and the neuroprotective mechanisms mediated by mitochondrial fusion,with aim to provide new ideas on the treatment of SCI.

Objective To explore the validity and feasibility of the left transthoracic and esophageal hiatal approach for Siewert type Ⅱ adenocarcinoma of the esophagogastric junction under a single position.Methods The clinical data of 64 patients with Siewert type Ⅱ AEG(single position transthoracic approach group)treated with the left transthoracic and esophageal hiatal approach under a single position and 56 patients with the laparoscopic transesophageal slit approach(transabdominal approach group)in the Department of Thoracic Surgery,Huaihe Hospital of Henan University,from January 2017 to December 2018 were retrospectively analyzed.The clinical and pathological data,perioperative indicators(operation time,intraoperative blood loss,postoperative first ambulation time,postoperative first peristalsis time,postoperative drainage volume at 3 d,incidence of postoperative complications,postoperative hospital stay),postoperative complications(positive surgical margin,proximal esophageal resection margin,tumor diameter,total number of dissected lymph nodes,positive lymph node dissection rate,postoperative histopathology,and TNM staging of tumor pathology),and survival indicators(tumor recurrence and metastasis rate and survival at 1 month,3 months,6 months,1 year,3 years,5 years after surgery)were compared between the two groups.Kaplan-Meier method was used to analyze the postoperative survival rate of the two groups.Univariate analysis using χ2 test was employed to analyze factors influencing 5-year postoperative survival rate in Siewert type Ⅱ AEG patients.Results No significant difference was observed in clinical and pathological data,such as gender,age,American Society of Anesthesiologists(ASA)grade,tumor differentiation,pTNM stage,and tumor diameter between the two groups(P>0.05).No significant differences were noted in intraoperative blood loss,incidence of postoperative complications,and survival rates at 1 month,3 months,6 months,1 year,and 3 years after surgery between the two groups(P>0.05).The single position transthoracic approach group exhibited a higher postoperative drainage volume at 3 d compared to the transabdominal approach group(P<0.001),a shorter surgical time(P<0.001),a longer time to first mobilization,first intestinal peristalsis,and hospital stay after surgery(P<0.01),a longer proximal esophageal margin(P<0.001),a higher total number of lymph node dissections(P<0.001),and a higher positive lymph node dissection rate(P<0.05)than the transabdominal approach group.The 5-year recurrence-free survival rate of the single position transthoracic approach group was higher than that of the transabdominal approach group,with a statistically significant difference(P=0.013).The Kaplan-Meier survival curve showed no statistically significant difference in the 5-year overall survival rate between the two groups of patients after surgery(P=0.456).The results of univariate analysis indicated that there are significant relationships between tumor differentiation degree,pTNM stage,tumor diameter,and lymph node positivity rate with the 5-year postoperative survival rate in Siewert type Ⅱ AEG patients(P<0.05).Conclusion Siewert type Ⅱ AEG patients can be treated with the left transthoracic and esophageal hiatal approach under a single position,achieving the same effect as laparoscopic transesophageal slit approach,and it can be actively promoted as a complementary choice of operation in the clinic.

Objective To propose a high-precision deep learning-based image assessment method of osteosarcoma chemotherapy efficacy for clinical treatment,as existing methos have low accuracy of osteosarcoma assessment.Methods The low incidence of osteosarcoma led to the small scale of its imaging data and the problem of imbalance in data categories.This study combined deep learning with clinical medical information,combined the bone sarcoma generation module of BoneGAN and the scale lesion information capture module,and proposed OMLA-Net,a deep learning assessment network for chemotherapy effect of bone sarcoma based on multi-scale lesion attention network,which achieved computer-aided bone tumor assessment with integrated data augmentation and focused lesion information through pre-training and generalized loss training.Results In this study,40 cases of osteosarcoma MRI data were used as the basis for the comparison test on the generated dataset,and the OMLA-Net assessment outperformed the SOTA method Conv-LSTM-GAN in terms of the assessment effects such as accuracy and F1 scores,and the difference was statistically significant(Bootstrap statistical method P＜0.05);the subsequent K-fold cross-validation ablation experiments further demonstrated the effectiveness of each module proposed by OMLA-Net.Conclusion OMLA-Net can effectively perform the impact assessment of chemotherapy effect on osteosarcoma,which provides a new idea for subsequent clinical application.

This paper uses literature and network data to systematically sort out the theoretical and practical foundations of global public health cooperation,combines expert interviews to conduct empirical analyses,and further explores China's strategies for participating in global public health cooperation through quantitative statistics and text mining of interview data,and proposes a plan for China's participation in global public health cooperation under the current international situation.Under the countercurrents to globalization,China should take its own public health capacity building as the foundation,put global security and health equity at the core,with a philosophy of open cooperation and sustainable development,actively promote bilateral and multilateral cooperation,focus on cultivating global health talents,and enhance the effectiveness of disease prevention and control by making use of existing platforms,international mechanisms and digital health technologies,so as to help build a Global Community of Health for All.

Aim To explore the therapeutic effect and mechanism of Qingjie Huagong decoction in modulating PI3K/AKT/NF-κB signaling pathway in inflammatory response of acute pancreatitis(AP)mice.Methods Twenty-four mice were randomly divided into Blank group,Model group,Ustekin group,and Qingjie Hua-gong decoction group,with six mice in each group.The AP model was prepared by using rain frogin.Serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α lev-els were detected by ELISA;the pancreatic pathology was detected by HE staining;the expressions of PI3K,AKT,and NF-κB-related proteins and mRNAs were de-tected by immunohistochemistry,Western blot,and RT-qPCR.Results Compared with the blank group,the model group showed obvious pathological damage to the pancreas,with significantly higher serum α-AMS,PN-LP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels(P＜0.01),and significantly higher levels of PI3K,AKT,and NF-κB-related proteins and mRNA expression(P＜0.01).Compared with the model group,both the Qingjie Huagong decoction group and the ustekin group improved the histopathological changes in the pancreas of AP mice,decreased the serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels,and down-reg-ulated the expression levels of pancreatic PI3K,AKT,NF-κB-related proteins and mRNA(P＜0.05 or P＜0.01).Conclusion Qingjie Huagong decoction may inhibit the inflammatory response and protect pancreat-ic tissues by regulating the expression of PI3K/AKT/NF-κB signaling pathway.