The growth of retroperitoneal liposarcoma is occult, and generally there are no obvious clinical symptoms and signs in the early stage. The clinical and pathological features of primary retroperitoneal liposarcoma are not obvious, which lead to the difficulty of early diagnosis, low surgical resection rate and high postoperative recurrence rate. The effect of radiotherapy and chemotherapy on retroperitoneal liposarcoma is still controversial. In recent years, the researches of genomics and immunohistochemistry have gradually increased, and the related targeted therapies derived from these researches have also shown some preferable results, which provide new ideas for the diagnosis and treatment of retroperitoneal liposarcoma.

Objective:To evaluate the effect of acupuncture on postoperative delirium (POD) in diabetic patients undergoing surgery under general anesthesia.Methods:In this randomized controlled trial, 92 diabetic patients of either sex, aged 30-80 yr, with a body mass index of 18-28 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, scheduled for elective surgery under general anesthesia, were divided into 2 groups ( n=46 each) using a table of random numbers: control group (group C) and acupuncture group (group A). Group A received acupuncture at the Baihui (GV20), Shenting (GV24) and Sishencong (EX-HN1) acupoints before anesthesia. The needles were retained for 30 min, with manual stimulation applied every 10 min for 10 s each time. After 4 stimulations, routine anesthesia was carried out. Group C received routine anesthesia only. Regional cerebral oxygen saturation was recorded on admission to the operating room (T 0), after anesthesia induction (T 1), at the start of surgery (T 2), at the end of surgery (T 3), and immediately after tracheal extubation (T 4). The POD developed within 3 days after surgery was assessed. The occurrence of needle-related adverse effects such as fainting, subcutaneous bleeding, and local paresthesia was recorded. Results:Compared with group C, the incidence of POD was significantly reduced, and the regional cerebral oxygen saturation was increased at T 1, 4 in group A ( P<0.05). Conclusions:Acupuncture can decrease the development of POD in diabetic patients undergoing surgery under general anesthesia, which is related to an increase in regional cerebral oxygen saturation.

Objective:To evaluate the effect of acupuncture on postoperative delirium (POD) in diabetic patients undergoing surgery under general anesthesia.Methods:In this randomized controlled trial, 92 diabetic patients of either sex, aged 30-80 yr, with a body mass index of 18-28 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, scheduled for elective surgery under general anesthesia, were divided into 2 groups ( n=46 each) using a table of random numbers: control group (group C) and acupuncture group (group A). Group A received acupuncture at the Baihui (GV20), Shenting (GV24) and Sishencong (EX-HN1) acupoints before anesthesia. The needles were retained for 30 min, with manual stimulation applied every 10 min for 10 s each time. After 4 stimulations, routine anesthesia was carried out. Group C received routine anesthesia only. Regional cerebral oxygen saturation was recorded on admission to the operating room (T 0), after anesthesia induction (T 1), at the start of surgery (T 2), at the end of surgery (T 3), and immediately after tracheal extubation (T 4). The POD developed within 3 days after surgery was assessed. The occurrence of needle-related adverse effects such as fainting, subcutaneous bleeding, and local paresthesia was recorded. Results:Compared with group C, the incidence of POD was significantly reduced, and the regional cerebral oxygen saturation was increased at T 1, 4 in group A ( P<0.05). Conclusions:Acupuncture can decrease the development of POD in diabetic patients undergoing surgery under general anesthesia, which is related to an increase in regional cerebral oxygen saturation.

The growth of retroperitoneal liposarcoma is occult, and generally there are no obvious clinical symptoms and signs in the early stage. The clinical and pathological features of primary retroperitoneal liposarcoma are not obvious, which lead to the difficulty of early diagnosis, low surgical resection rate and high postoperative recurrence rate. The effect of radiotherapy and chemotherapy on retroperitoneal liposarcoma is still controversial. In recent years, the researches of genomics and immunohistochemistry have gradually increased, and the related targeted therapies derived from these researches have also shown some preferable results, which provide new ideas for the diagnosis and treatment of retroperitoneal liposarcoma.

Small intestinal neuroendocrine tumor is a kind of tumor arising from neuroendocrine cells and with neuroendocrine function. Because of non-specific clinical manifestations, these patients are often diagnosed at advanced stage and the treatment method is lacking. In 2019, World Health Organization updated the classification of neuroendocrine tumor. In recent years, liquid biopsy, pancreastatin, somatostatin receptor function imaging provide a new possibility for early diagnosis and monitoring prognosis. The mammalian target of rapamycin inhibitor everolimus, the tryptophan hydroxylase inhibitor telotristat ethyl and the tyrosine kinase inhibitor surufatinib bring a new breakthrough to improve the clinical symptoms and prolong the survival time of small intestinal neuroendocrine tumor. This paper reviews the current situation and the latest research progress of small intestinal neuroendocrine tumor.

Objective To explore the interventional mechanism of Bufei Yishen formula on chronic obstructive pulmonary disease from pathway level.Methods Macrophage inflammatory model was established by LPS stimulation.Based on gene set enrichment analysis(GSEA)method,macrophage inflammation related pathways were screened,and normalized enrichment score(NES)was used to identify pathways that were reversed by traditional Chinese medicine treatment,revealing the interventional mechanism of Bufei Yishen formula and its compatibility.Results The NES of Bufei Yishen formula was-1377.23,among which the NES of Bushen compatibility was-485.07,that of Huoxue was-351.86,Huatan was-303.71,and Yiqi was-236.59.There were 213 significantly disturbed pathways reversed after the intervention of Bufei Yishen formula,among which there were 184 reversed pathways for Huoxue compatibility,147 reversed pathways for Bushen,134 reversed pathways for Huatan,133 reversed pathways for Yiqi,and the reversal rate was 75.41%,60.25%,54.92%,54.51%,respectively.90 pathways,including TGF-β production,were significantly reversed in the four compatibilities.Positive regulation of cytokine production involved in inflammatory response etc were specifically reversed pathways for compatibility.Conclusion The intensity of Bufei Yishen formula that reversed macrophage-inflammatory related pathways was in order of Bushen,Huoxue,Huatan and Yiqi compatibility.And the number of pathways that could be reversed by the compatibility of Bufei Yishen formula was Huoxue,Bushen,Huatan and Yiqi.Bufei Yishen formula could regulate the common and specific reversal pathways of the compatibilities to intervene the inflammatory response.

ObjectiveTo explore the method of optimizing the performance of traditional Chinese medicine （TCM） syndrome diagnostic models using Stacking ensemble learning. MethodsTaking the construction of TCM syndrome diagnostic model for lung cancer as an example， 2598 cases of clinical symptoms and signs from lung cancer patients in 9 hospitals were used as independent variables （i.e.， feature variables）， TCM syndrome information as dependent variables， and the clinical data were divided into training set and testing set in 8：2 ratio according to random number table method using Python 3.7 software. The stable features of TCM syndrome of lung cancer were screened using chi-square test， Spearman's correlation test， and Least Absolute Shrinkage and Selection Operator （LASSO） logistic regression analysis； nine machine learning algorithms are trained， including support vector machines （SVMs）， k-nearest neighbors （KNN） algorithm， Random Forest （RF）， Extremely Randomized Trees， Extreme Gradient Boosting （XGBoost）， Lightweight Gradient Boosting （LightGBM）， Adaptive Boosting （AdaBoost）， Gradient Boosting （GB） and the multi-layer perceptron （MLP）， to obtain 9 basic models. Four models with better performance were screened out from the above basic models and fused to form a fusion model by using the Stacking ensemble learning， and the fusion model was trained twice by the above nine machine learning algorithms and evaluated by accuracy rate， micro-average ROC curves， area under the curve （AUC）， and confusion matrix metrics， to screen the optimal diagnostic model. ResultsAfter data processing， 79 stable features and 13 TCM syndromes were obtained. In the basic model training， the comprehensive performance of RF， ExtraTrees， MLP and SVM basic models were better， so the predicted distributions of the syndromes of these four models were used as the secondary training data， and nine fusion models were obtained based on the Stacking ensemble learning （SVM， KNN， RF， ExtraTree， XGBoost， LightGBM， GB， AdaBoost， MLP）. Among them， the XGBoost fusion model performed the best， with an accuracy of 0.850 and 0.838 in the training set and test set， respectively， an overfitting difference of 0.012， and an area under the micro-average ROC curve of 0.996. All fusion models showed an improvement in accuracy and area under the micro-average ROC curve compared with the base model in the test set. ConclusionTaking the TCM syndrome information of lung cancer as an example， the XGBoost fusion model has significant advantages in improving the diagnostic performance of TCM syndrome information of lung cancer through Stacking ensemble learning. It can be seen that the advantages of Stacking ensemble learning to integrate multiple models and effectively improve the diagnostic efficiency of TCM diagnostic models， which provided a methodological reference for similar studies.

Objective:To provide references for the vestibular function stability training of military pilots by evaluating the stability of vestibular function of military pilots.Methods:An electric swivel chair was used to train the vestibular function stability of military pilots. According to the order of admission, they were divided into 21-30 years old, 31-40 years old, 41-50 years old and ≥51 years old group, with 30 pilots in each group. The changes of excellent rate, good rate, qualified rate, unqualified rate and tolerance time of the stability of vestibular function by training were compared among different age groups, and the correlation between age and tolerance time was analyzed.Results:There were significant differences of unqualified rate in pilots aged 31-40 and ≥51 years group before and after training ( χ2=4.32, 4.80, Ρ=0.038, 0.028). The failure rate after training was lower than that before training, with a significant difference ( χ2=13.02, P<0.001). The total tolerance time was higher than that before training, and the difference was statistically significant ( t=17.61, P<0.001). The stability tolerance time of pilots in different age groups after vestibular function training were increased compared with that before training, and the differences were statistically significant ( t=6.50, 8.82, 9.48, 13.56, all P<0.001). The stability of vestibular function of military pilots gradually declined with the increase of age, and there was a negative correlation between age and training tolerance time ( r=-0.38, P<0.001). Conclusions:The training of electric swivel chair can improve the vestibular function stability of military pilots, increase the tolerance time, and enhance the tolerance ability of military pilots when vestibular function is stimulated.

Objective:To investigate the differential expression of brain-expressed X-linked (BEX) family genes in pan-cancer and its value in diagnosis and prognosis of pan-cancer.Methods:RNA sequencing (RNA-seq) data, survival data, immune subtypes, the stem cell scores based on RNA and DNA methylation of 33 different tumors from The Cancer Genome Atlas (TCGA) database were downloaded from the online database of University of California, Santa Cruz (UCSC Xena) on April 10, 2022. The limma package of R software (V.4.2.0) was used to analyze the expression of BEX family genes in the TCGA database. The differential expression of BEX family genes in pan-cancer tissues and normal tissues was compared by using Wilcox test. Pan-cancer patients were divided into high expression group and low expression group according to the median expression level of BEX family genes; Kaplan-Meier survival analysis was used to evaluate the relationship between the expression of BEX family genes and the overall survival (OS) of patients; Cox proportional risk model was used to analyze the effect of the expression of BEX family genes on OS in pan-cancer patients and then the forest map was drawn. The correlation of the expression of BEX family genes with tumor microenviroment and tumor stem cells in pan-cancer patients was analyzed based on the correlation index Cor value. Spearman correlation analysis was used to analyze the correlation between the expression of BEX family genes and tumor microenviroment and cancer stem cell index in gastric cancer tissues. The RNA-seq of different tumor cell lines and drug sensitivity data download from the CellMiner database were used to analyze the correlation between the expression of BEX family genes and drug sensitivity. The correlation of pan-cancer and gastric cancer immune subtypes with the expression of BEX family genes was analyzed by using Kruskal test.Results:BEX3 was highly expressed in pan-cancer tissues in TCGA database, BEX2 and BEX4 were moderately expressed in pan-cancer tissues, and BEX1 and BEX5 were relatively low expressed in pan-cancer tissues. The expressions of BEX2, BEX3 and BEX4 were the highest in cholangiocarcinoma, the expression of BEX5 was the highest in endometrial neoplasms, and the expression of BEX1 was the highest in invasive breast cancer. Compared with normal tissue samples, the expressions of BEX family genes were up-regulated or down-regulated in various cancers (all P < 0.05). Survival analysis showed that the expressions of BEX family genes were associated with the OS of various cancers. Some tumor patients with high expressions of BEX1, BEX3, BEX4 and BEX5 had better OS compared with those with low expressions, and the differences were statistically significant (all P < 0.05). Other patients with high expression of BEX family genes had worse OS compared with those with low expressions, and the differences were statistically significant (all P < 0.05). Cox regression analysis showed that the high expression of BEX1 for stomach neoplasms; the high expression of BEX2 for acute myeloid leukemia, thymoma and endometrial neoplasms; the expression high of BEX3 for squamous cell carcinoma of head and neck,sarcoma, stomach neoplasms and endometrial neoplasms; the high expression of BEX4 for rectal adenocarcinoma, stomach neoplasms and endometrial neoplasms; the high expression of BEX5 for renal suspicious cell carcinoma and thymoma were risk factors for OS (all P < 0.05).The expression of BEX family genes was negatively correlated with the stromal score of most cancers (all P < 0.05), and positively correlated with the stem cell score (all P < 0.05). The expression of BEX family genes was negatively correlated with cancer stem cell index of gastric cancer ( P < 0.05), and was positively correlated with matrix score and estimated total score (all P < 0.05). Among different tumor cell lines in CellMiner database, BEX family genes were closely related to drug resistance of vemurafenib (Cor = -0.368, P = 0.004), Kahalide f (Cor = -0.391, P = 0.002), O-6-benzylguanine (Cor = -0.375, P = 0.003) and other drugs. All genes in the BEX family were related to the immune subtypes of pan-cancer and were highly expressed in C5 subtype (all P < 0.05).For gastric cancer, all genes showed high expression in the C3 subtype (all P < 0.05), except BEX5 ( P = 0.24). Conclusions:The expression of BEX family genes is closely related to the prognosis of pan-cancer patients, and has an impact on the tumor microenvironment, cancer stem cells and drug sensitivity. BEX family genes may be potential biomarkers for diagnosis and prognosis of pan-cancer.