Search

In the control of network terminal power, due to the overall low analysis of network state, the adaptive regulation ability of communication network terminal power is poor.Therefore, the power line carrier communication network terminal power control method based on adaptive hash function was proposed.Considering the dynamic fluctuation of the actual operating state of the power line carrier communication network, the adaptive mechanism was set for the hash function, and the adaptive hash function was constructed for the original running state data, and the final hash value was obtained in the variable chaotic mapping system.In the power control stage of the power line carrier communication network terminal, the communication network terminal was affected by the interference of other communication network terminals, and it was used as the input value of the adaptive hash function to realize the power control of each communication network terminal.In the test results, the proposed control method not only effectively reduces the increase range of network terminal power under constant communication conditions, but also effectively reduces the network terminal power output under dynamic communication conditions, which has a high adaptive adjustment ability.

Background Metabolism-associated fatty liver disease (MAFLD) is considered as a major cause of increased morbidity and mortality from liver disease, type 2 diabetes mellitus (T2DM) is a driving factor in the progression of MAFLD. Estimated glucose processing rate (eGDR) is a simple evaluation indicator of insulin resistance in patients with T2DM, while its relationship with MAFLD has been rarely studied. Objective To investigate the correlation between eGDR and MAFLD in type 2 Diabetes and its predictive value. Methods A total of 1 434 patients with T2DM who were hospitalized in Hebei Provincial People's Hospital from 2019-01-01 to 2019-12-31 were selected as the study subjects. baseline data of the patients was collected, with their venous blood from the elbow collected for laboratory examination, and liver condition examined by abdominal ultrasound. According to the results of abdominal ultrasonography, T2DM patients were divided into MAFLD group (n=734) and non-MAFLD group (n=700). The subjects were divided into T1 group (eGDR≤5.09, n=477), T2 group (5.097.11, n=479) according to the eGDR tertiles. Spearman rank correlation analysis was used to explore the correlation between eGDR and baseline data. Univariate and multivariate Logistic regression analysis was used to explore the influencing factors of combined MAFLD. The multiplicative interactions of eGDR with gender, age, hypertension, glycated hemoglobin A1c (HbA1c), BMI and glutamyl transferase (GGT) were evaluated. Receiver operating characteristic (ROC) curve was plotted to evaluate the predictive value of combined prediction model, FBG and HbA1c for MAFLD in T2DM and areas under curve (AUC) were calculated and compared by Delong test. Results Age, disease course, HDL-C and eGDR of MAFLD group were lower than non-MAFLD group. BMI, alcohol consumption, proportions of hypertension and smoking, fasting blood glucose (FBG), uric acid (UA), total cholesterol (TC), TG, low density lipoprotein cholesterol (LDL-C), alanine aminotransferase (ALT), aspartate aminotransferase (AST), GGT and ALB were higher than non-MAFLD group (P