The Bi2S3,CdS and Bi2S3/CdS photocatalysts were prepared by direct reactions between their corresponding salt and thiourea in a hy- drothermal autoclave.The photocatalytic activities of these photocatalysts for reduci...The Bi2S3,CdS and Bi2S3/CdS photocatalysts were prepared by direct reactions between their corresponding salt and thiourea in a hy- drothermal autoclave.The photocatalytic activities of these photocatalysts for reducing CO2 to CH3OH under visible light irradiation have been investigated.The results show that the photocatalytic activity and visible light response of Bi2S3 are higher than those of CdS.The Bi2S3 modification can enhance the photocatalytic activity and visible light response of CdS.The photocatalytic activity of Bi2S3/CdS hetero-junction photocatalyst was the highest and the highest yields of methanol was 613μmol/g when the weight proportion of Bi2S3 to CdS was 15%,which was about three times as large as that of CdS or two times of that of Bi2S3.展开更多
N6-methyladenosine(m^(6)A)is a prevalent methylation modification and plays a vital role in various biological processes,such as metabolism,mRNA processing,synthesis,and transport.Recent studies have suggested that m^...N6-methyladenosine(m^(6)A)is a prevalent methylation modification and plays a vital role in various biological processes,such as metabolism,mRNA processing,synthesis,and transport.Recent studies have suggested that m^(6)A modification is related to common diseases such as cancer,tumours,and obesity.Therefore,accurate prediction of methylation sites in RNA sequences has emerged as a critical issue in the area of bioinformatics.However,traditional high-throughput sequencing and wet bench experimental techniques have the disadvantages of high costs,significant time requirements and inaccurate identification of sites.But through the use of traditional experimental methods,researchers have produced many large databases of m^(6)A sites.With the support of these basic databases and existing deep learning methods,we developed an m^(6)A site predictor named DeepM6ASeq-EL,which integrates an ensemble of five LSTM and CNN classifiers with the combined strategy of hard voting.Compared to the state-of-the-art prediction method WHISTLE(average AUC 0.948 and 0.880),the DeepM6ASeq-EL had a lower accuracy in m^(6)A site prediction(average AUC:0.861 for the full transcript models and 0.809 for the mature messenger RNA models)when tested on six independent datasets.展开更多
Active particles have been regarded as the key models to mimic and understand the complex systems of nature.Although chemical and field-powered active particles have received wide attentions,lightprogrammed actuation ...Active particles have been regarded as the key models to mimic and understand the complex systems of nature.Although chemical and field-powered active particles have received wide attentions,lightprogrammed actuation with long-range interaction and high throughput remains elusive.Here,we utilize photothermal active plasmonic substrate made of porous anodic aluminum oxide filled with Au nanoparticles and poly(N-isopropylacrylamide)(PNIPAM)to optically oscillate silica beads with robust reversibility.The thermal gradient generated by the laser beam incurs the phase change of PNIPAM,producing gradient of surface forces and large volume changes within the complex system.The dynamic evolution of phase change and water diffusion in PNIPAM films result in bistate locomotion of silica beads,which can be programmed by modulating the laser beam.This light-programmed bistate colloidal actuation provides promising opportunity to control and mimic the natural complex systems.展开更多
基金supported by the National Natural Science Foundation of China(No.20906034)the Key Academic Program of the 3rd Phase"211 Project" of South China Agricultural University(No.2009B010100001)China Postdoctoral Science Foundation(No.20080430820)
文摘The Bi2S3,CdS and Bi2S3/CdS photocatalysts were prepared by direct reactions between their corresponding salt and thiourea in a hy- drothermal autoclave.The photocatalytic activities of these photocatalysts for reducing CO2 to CH3OH under visible light irradiation have been investigated.The results show that the photocatalytic activity and visible light response of Bi2S3 are higher than those of CdS.The Bi2S3 modification can enhance the photocatalytic activity and visible light response of CdS.The photocatalytic activity of Bi2S3/CdS hetero-junction photocatalyst was the highest and the highest yields of methanol was 613μmol/g when the weight proportion of Bi2S3 to CdS was 15%,which was about three times as large as that of CdS or two times of that of Bi2S3.
基金The work was supported by the National Natural Science Foundation of China(Grant Nos.61922020,61771331,91935302).
文摘N6-methyladenosine(m^(6)A)is a prevalent methylation modification and plays a vital role in various biological processes,such as metabolism,mRNA processing,synthesis,and transport.Recent studies have suggested that m^(6)A modification is related to common diseases such as cancer,tumours,and obesity.Therefore,accurate prediction of methylation sites in RNA sequences has emerged as a critical issue in the area of bioinformatics.However,traditional high-throughput sequencing and wet bench experimental techniques have the disadvantages of high costs,significant time requirements and inaccurate identification of sites.But through the use of traditional experimental methods,researchers have produced many large databases of m^(6)A sites.With the support of these basic databases and existing deep learning methods,we developed an m^(6)A site predictor named DeepM6ASeq-EL,which integrates an ensemble of five LSTM and CNN classifiers with the combined strategy of hard voting.Compared to the state-of-the-art prediction method WHISTLE(average AUC 0.948 and 0.880),the DeepM6ASeq-EL had a lower accuracy in m^(6)A site prediction(average AUC:0.861 for the full transcript models and 0.809 for the mature messenger RNA models)when tested on six independent datasets.
基金supported by the National Key Research and Development Program of China(2020YFA0211300)the National Natural Science Foundation of China(11974265,21703160,and 12172260)the Key Research and Development Program of Hubei Province(2021BAA192).
文摘Active particles have been regarded as the key models to mimic and understand the complex systems of nature.Although chemical and field-powered active particles have received wide attentions,lightprogrammed actuation with long-range interaction and high throughput remains elusive.Here,we utilize photothermal active plasmonic substrate made of porous anodic aluminum oxide filled with Au nanoparticles and poly(N-isopropylacrylamide)(PNIPAM)to optically oscillate silica beads with robust reversibility.The thermal gradient generated by the laser beam incurs the phase change of PNIPAM,producing gradient of surface forces and large volume changes within the complex system.The dynamic evolution of phase change and water diffusion in PNIPAM films result in bistate locomotion of silica beads,which can be programmed by modulating the laser beam.This light-programmed bistate colloidal actuation provides promising opportunity to control and mimic the natural complex systems.