Accurate traffic pattern prediction in largescale networks is of great importance for intelligent system management and automatic resource allocation.System-level mobile traffic forecasting has significant challenges ...Accurate traffic pattern prediction in largescale networks is of great importance for intelligent system management and automatic resource allocation.System-level mobile traffic forecasting has significant challenges due to the tremendous temporal and spatial dynamics introduced by diverse Internet user behaviors and frequent traffic migration.Spatialtemporal graph modeling is an efficient approach for analyzing the spatial relations and temporal trends of mobile traffic in a large system.Previous research may not reflect the optimal dependency by ignoring inter-base station dependency or pre-determining the explicit geological distance as the interrelationship of base stations.To overcome the limitations of graph structure,this study proposes an adaptive graph convolutional network(AGCN)that captures the latent spatial dependency by developing self-adaptive dependency matrices and acquires temporal dependency using recurrent neural networks.Evaluated on two mobile network datasets,the experimental results demonstrate that this method outperforms other baselines and reduces the mean absolute error by 3.7%and 5.6%compared to time-series based approaches.展开更多
Opening up the market, breaking the monopoly, and allowing the market to decide prices —these are the major items on the agenda for the marketization of China’s energy industry,and have a direct bearing on national ...Opening up the market, breaking the monopoly, and allowing the market to decide prices —these are the major items on the agenda for the marketization of China’s energy industry,and have a direct bearing on national energy security. Research into China’s energy securityhas so far focused on such fields as strategic energy reserves, stability of energy imports,and diversification of import channels. Little has been done in the study of national energysecurity from the perspective of marketization of the energy industry. However, opening upthe energy market and marketizing the energy industry are not only major commitments toChina’s accession to WTO, they serve the nation’s energy security needs as well. This papertakes a look at the actual results of opening up the energy market, the structure of thatmarket, and the nation’s energy pricing mechanisms, and on the basis of the findings, raisessuggestions on how to tackle the energy security issue.展开更多
The present work aimed at investigating the effects of soy hull polysaccharide(SHP)in alleviating adverse effects in rats fed a high-fat-high-sucrose diet.After SHP feeding for 4 weeks,the fasting blood glucose(FBG),s...The present work aimed at investigating the effects of soy hull polysaccharide(SHP)in alleviating adverse effects in rats fed a high-fat-high-sucrose diet.After SHP feeding for 4 weeks,the fasting blood glucose(FBG),serum triglyceride(TG),serum high-density lipoprotein cholesterol(HDL-C),short chain fatty acids(SCFAs),and 16S rDNA gene sequence were determined.Administration of SHP significantly decreased body fat content and TG levels,and increased water intake and HDL-C levels after 4 weeks of treatment.The antihyperglycemic effect of SHP at a dose of 400 mg/kg mb had the most significant effects among the three dosage groups.SHP notably restored the FBG in rats fed a high-fat-high-sucrose diet(P<0.05).Furthermore,SHP at 400 mg/kg mb increased the abundance of Bacteroidetes and decreased that of Firmicutes and Actinobacteria at the phylum level.The polysaccharide treated groups had significantly higher content of total SCFAs,and the main fermentation products were acetic,propionic,n-valeric and i-valeric acids.Thus,SHP restores blood lipid levels in rats fed a high-fat-high sucrose diet through regulation of the gut microbiota.展开更多
基金supported by the National Natural Science Foundation of China(61975020,62171053)。
文摘Accurate traffic pattern prediction in largescale networks is of great importance for intelligent system management and automatic resource allocation.System-level mobile traffic forecasting has significant challenges due to the tremendous temporal and spatial dynamics introduced by diverse Internet user behaviors and frequent traffic migration.Spatialtemporal graph modeling is an efficient approach for analyzing the spatial relations and temporal trends of mobile traffic in a large system.Previous research may not reflect the optimal dependency by ignoring inter-base station dependency or pre-determining the explicit geological distance as the interrelationship of base stations.To overcome the limitations of graph structure,this study proposes an adaptive graph convolutional network(AGCN)that captures the latent spatial dependency by developing self-adaptive dependency matrices and acquires temporal dependency using recurrent neural networks.Evaluated on two mobile network datasets,the experimental results demonstrate that this method outperforms other baselines and reduces the mean absolute error by 3.7%and 5.6%compared to time-series based approaches.
文摘Opening up the market, breaking the monopoly, and allowing the market to decide prices —these are the major items on the agenda for the marketization of China’s energy industry,and have a direct bearing on national energy security. Research into China’s energy securityhas so far focused on such fields as strategic energy reserves, stability of energy imports,and diversification of import channels. Little has been done in the study of national energysecurity from the perspective of marketization of the energy industry. However, opening upthe energy market and marketizing the energy industry are not only major commitments toChina’s accession to WTO, they serve the nation’s energy security needs as well. This papertakes a look at the actual results of opening up the energy market, the structure of thatmarket, and the nation’s energy pricing mechanisms, and on the basis of the findings, raisessuggestions on how to tackle the energy security issue.
基金supported by the National Natural Science Foundation of China(Grant No.31901680 and 31972031).
文摘The present work aimed at investigating the effects of soy hull polysaccharide(SHP)in alleviating adverse effects in rats fed a high-fat-high-sucrose diet.After SHP feeding for 4 weeks,the fasting blood glucose(FBG),serum triglyceride(TG),serum high-density lipoprotein cholesterol(HDL-C),short chain fatty acids(SCFAs),and 16S rDNA gene sequence were determined.Administration of SHP significantly decreased body fat content and TG levels,and increased water intake and HDL-C levels after 4 weeks of treatment.The antihyperglycemic effect of SHP at a dose of 400 mg/kg mb had the most significant effects among the three dosage groups.SHP notably restored the FBG in rats fed a high-fat-high-sucrose diet(P<0.05).Furthermore,SHP at 400 mg/kg mb increased the abundance of Bacteroidetes and decreased that of Firmicutes and Actinobacteria at the phylum level.The polysaccharide treated groups had significantly higher content of total SCFAs,and the main fermentation products were acetic,propionic,n-valeric and i-valeric acids.Thus,SHP restores blood lipid levels in rats fed a high-fat-high sucrose diet through regulation of the gut microbiota.
