In this paper, the theory and construction methods of four models are presented for predicting the vegetable market price, which are BP neural network model, the neural network model based on genetic algorithm, RBF neural network model and an integrated prediction model based on the three models above. The four models are used to predict the Lentinus edodes price for Beijing Xinfadi wholesale market. A total of 84 records collected between 2003 and 2009 were fed into the four models for training and testing. In summary, the predicting ability of BP neural network model is the worst. The neural network model based on genetic algorithm was generally more accurate than RBF neural network model. The integrated prediction model has the best results.

The aim of this study was to explore the associated risk factors of perioperative respiratory adverse events (PRAEs) in children undergoing airway surgery and establish and validate a nomogram prediction model for PRAEs. Patients and Methods: This study involved 709 children undergoing airway surgery between November 2020 and July 2021, aged ≤18 years in the affiliated hospital of Xuzhou Medical University. They were divided into training (70%; n = 496) and validation (30%; n = 213) cohorts. The least absolute shrinkage and selection operator (LASSO) was used to develop a risk nomogram model. Concordance index values, calibration plot, decision curve analysis, and the area under the curve (AUC) were examined. Results: PRAEs were found in 226 of 496 patients (45.6%) and 88 of 213 patients (41.3%) in the training and validation cohorts, respectively. The perioperative risk factors associated with PRAEs were age, obesity, degree of upper respiratory tract infection, premedication, and passive smoking. The risk nomogram model showed good discrimination power, and the AUC generated to predict survival in the training cohort was 0.760 (95% confidence interval, 0.695-0.875). In the validation cohort, the AUC of survival predictions was 0.802 (95% confidence interval, 0.797-0.895). Calibration plots and decision curve analysis showed good model performance in both datasets. The sensitivity and specificity of the risk nomogram model were calculated, and the result showed the sensitivity of 69.5% and 64.8% and specificity of 73.3% and 81.6% for the training and validation cohorts, respectively. Conclusion:The present study showed the proposed nomogram achieved an optimal prediction of PRAEs in patients undergoing airway surgery, which can provide a certain reference value for predicting the high-risk population of perioperative respiratory adverse events and can lead to reasonable preventive and treatment measures.

Colorectal cancer (CRC) is currently the third most common cancer with a high mortality rate. The underlying molecular mechanism of CRC, especially advanced CRC, remains poorly understood, resulting in few available therapeutic plans. To expand our knowledge of the molecular characteristics of advanced CRC and explore possible new therapeutic strategies, we herein conducted integrated proteomics and metabolomics analyses of 40 serum samples collected from 20 advanced CRC patients before and after treatment. The mass spectrometry-based proteomics analysis was performed under data-independent acquisition (DIA), and the metabolomics analysis was performed by ultra-performance liquid chromatography coupled with time-of-flight tandem mass spectrometry (UPLC-TOF-MS/MS). Trace elements including Mg, Zn, and Fe were measured by inductively coupled plasma spectrometry (ICP-MS) analysis. Four of the 20 patients had progressive disease (PD) after treatment, and clinical test results indicated that they all had impaired liver functions. In the proteomics analysis, 64 proteins were discovered to be significantly altered after treatment. These proteins were enriched in cancer-related pathways and pathways participating immune responses, such as MAPK signaling pathway and complement/coagulation cascades. In the metabolomics analysis, 128 metabolites were found to be significantly changed after treatment, and most of them are enriched in pathways associated with lipid metabolism. The cholesterol metabolism pathway was significantly enriched in both the proteomics and metabolomics pathway enrichment analyses. The concentrations of Mg in the serums of CRC patients were significantly lower than those in healthy individuals, which returned to the normal range after treatment. Correlation analysis linked key lipids, proteins, and Mg as immune modulators in the development of advanced CRC. The results of this study not only extended our knowledge on the molecular basis of advanced CRC but also provided potential novel therapeutic targets for CRC treatment.

Background: Breast cancer has become the most common malignancy worldwide. Experimental and, retrospective, clinical data indicate that anaesthetic technique might influence the risk of metastasis after cancer surgery by modulating the immune system. The purpose of this study is to investigate the effect of perioperative lidocaine injection on immune cells such as T lymphocytes and natural killer cells (NK cells) and the quality of postoperative recovery in breast cancer patients and to propose new ideas and relevant theoretical evidence for the selection of anesthetic protocols for perioperative tumor patients.Methods: Women (n=68) undergoing primary breast tumour resection were randomly assigned to received 2% lidocaine (n=34; group L) or placebo (normal saline; n=34; group S). Venous blood was collected thirty minutes before surgery (T0), after tumor removal (T1), immediately after surgery (T2), 24 h after surgery (T3), and 48 h after surgery (T4). The percentages of NK cells and T lymphocyte subsets (CD3 + , CD4 + , CD8 + , CD4 + /CD8 + ) in peripheral blood were detected by flow cytometry. Patients' quality of recovery-15 (QoR-15) scores were recorded by questionnaire before and 24 h after the operation, as well as intraoperative propofol and remifentanil dosages, the frequency of 24 h postoperative remedial analgesia, and the incidence of nausea and vomiting, dizziness, and chest tightness.Results: There were 62 patients included in the study, and 60 patients were finally analyzed. The difference in the changing trend of NK cell levels in the 2 groups over time was statistically significant (F=7.675, P=0.008). The intraoperative changing trends of CD3 + T cells, CD4 + T cells, and the CD4 + /CD8 + ratio over time differed significantly between the 2 groups of patients (P<0.05), whereas the trends of CD8 + T cells did not differ significantly (P>0.05). The QoR-15 score at 24 h after surgery was higher in Group L (128.50±20.25) than in Group S (117.50±19.50), and the difference was statistically significant (P=0.005).No adverse events such as cardiac arrhythmia and lidocaine toxicity occurred in both groups during the perioperative period.Conclusions: Continuous intravenous pumping of lidocaine during the perioperative period has little effect on immune function in breast cancer patients and promotes postoperative recovery.

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