Body color polyphenism is common in Diaphorina citri.Previous studies compared physiological characteristics in D.citri,but the ecological and biological significance of its body color polyphenism remains poorly under...Body color polyphenism is common in Diaphorina citri.Previous studies compared physiological characteristics in D.citri,but the ecological and biological significance of its body color polyphenism remains poorly understood.We studied the ecological and molecular effects of stressors related to body color in D.citri.Crowding or low temperature induced a high proportion of gray morphs,which had smaller bodies,lower body weight,and greater susceptibility to the insecticide dinotefuran.We performed transcriptomic and metabolomics analysis of 2 color morphs in D.citri.Gene expression dynamics revealed that the differentially expressed genes were predominantly involved in energy metabolism,including fatty acid metabolism,amino acid metabolism,and carbohydrate metabolism.Among these genes,plexin,glycosidase,phospholipase,take out,trypsin,and triacylglycerol lipase were differentially expressed in 2 color morphs,and 6 hsps(3 hsp70,hsp83,hsp90,hsp68)were upregulated in gray morphs.The metabolome data showed that blue morphs exhibited a higher abundance of fatty acid and amino acid,whereas the content of carbohydrates was elevated in gray morphs.This study partly explains the body color polyphenism of D.citri and provides insights into the molecular changes of stress response of D.citri.展开更多
In this paper,we present a user-complaint prediction system for mobile access networks based on network monitoring data.By applying machine-learning models,the proposed system can relate user complaints to network per...In this paper,we present a user-complaint prediction system for mobile access networks based on network monitoring data.By applying machine-learning models,the proposed system can relate user complaints to network performance indicators,alarm reports in a data-driven fashion,and predict the complaint events in a fine-grained spatial area within a specific time window.The proposed system harnesses several special designs to deal with the specialty in complaint prediction;complaint bursts are extracted using linear filtering and threshold detection to reduce the noisy fluctuation in raw complaint events.A fuzzy gridding method is also proposed to resolve the inaccuracy in verbally described complaint locations.Furthermore,we combine up-sampling with down-sampling to combat the severe skewness towards negative samples.The proposed system is evaluated using a real dataset collected from a major Chinese mobile operator,in which,events due to complaint bursts account approximately for only 0:3%of all recorded events.Re-sults show that our system can detect 30%of complaint bursts 3 h ahead with more than 80%precision.This will achieve a corresponding proportion of quality of experi-ence improvement if all predicted complaint events can be handled in advance through proper network maintenance.展开更多
基金supported by the National Key R&D Program of China(2021YFD1400805)the National Natural Science Foundation of China(32160625)+1 种基金Science and Technology Program of Jiangxi Province(20225BCJ22005)the China Agriculture Research System of MOF and MARA.
文摘Body color polyphenism is common in Diaphorina citri.Previous studies compared physiological characteristics in D.citri,but the ecological and biological significance of its body color polyphenism remains poorly understood.We studied the ecological and molecular effects of stressors related to body color in D.citri.Crowding or low temperature induced a high proportion of gray morphs,which had smaller bodies,lower body weight,and greater susceptibility to the insecticide dinotefuran.We performed transcriptomic and metabolomics analysis of 2 color morphs in D.citri.Gene expression dynamics revealed that the differentially expressed genes were predominantly involved in energy metabolism,including fatty acid metabolism,amino acid metabolism,and carbohydrate metabolism.Among these genes,plexin,glycosidase,phospholipase,take out,trypsin,and triacylglycerol lipase were differentially expressed in 2 color morphs,and 6 hsps(3 hsp70,hsp83,hsp90,hsp68)were upregulated in gray morphs.The metabolome data showed that blue morphs exhibited a higher abundance of fatty acid and amino acid,whereas the content of carbohydrates was elevated in gray morphs.This study partly explains the body color polyphenism of D.citri and provides insights into the molecular changes of stress response of D.citri.
基金the Ministry of Science and Technology of China(2018YFA0506902,2016YFA0500100,and 2018YFA081104)the National Natural Science Foundation of China(9195420001,31771305,and 31630019)Chinese Academy of Sciences(XDPB17)。
基金This work was sponsored in part by the National Natural Science Foundation of China(Nos.91638204,61571265,61621091)。
文摘In this paper,we present a user-complaint prediction system for mobile access networks based on network monitoring data.By applying machine-learning models,the proposed system can relate user complaints to network performance indicators,alarm reports in a data-driven fashion,and predict the complaint events in a fine-grained spatial area within a specific time window.The proposed system harnesses several special designs to deal with the specialty in complaint prediction;complaint bursts are extracted using linear filtering and threshold detection to reduce the noisy fluctuation in raw complaint events.A fuzzy gridding method is also proposed to resolve the inaccuracy in verbally described complaint locations.Furthermore,we combine up-sampling with down-sampling to combat the severe skewness towards negative samples.The proposed system is evaluated using a real dataset collected from a major Chinese mobile operator,in which,events due to complaint bursts account approximately for only 0:3%of all recorded events.Re-sults show that our system can detect 30%of complaint bursts 3 h ahead with more than 80%precision.This will achieve a corresponding proportion of quality of experi-ence improvement if all predicted complaint events can be handled in advance through proper network maintenance.
