Genetic factors play a key role in determination of the structure of the cloacal flora for newborn Chinese Alligators.We collected the cloacal microbiomes for 24 newborn Chinese Alligators from three different genetic...Genetic factors play a key role in determination of the structure of the cloacal flora for newborn Chinese Alligators.We collected the cloacal microbiomes for 24 newborn Chinese Alligators from three different genetic backgrounds for 16S gene amplicon sequencing.The number of cloacal flora for the Chinese Alligators from different groups was comparable but differed structurally.There were variations in proportions of floral compositions at the phylum and family levels;however,the main difference was at the genus level.There were two significant differences in richness and evenness among the three groups.Non-metric multidimensional scaling NMDS analysis revealed that the 24 samples could be clearly divided into three categories based on their genetic backgrounds(stress=0.0244).Thus,we postulated that newborn Chinese Alligators with different genetic backgrounds have different immune strengths,which affects individual responses to environmental microorganisms.In summary,newborn Chinese Alligators from different genetic backgrounds exhibit variations in cloacal microbiome.展开更多
[Objectives] To provide basis for identification,development and use of Campsis grandiflora( Thunb.) Schum. [Methods]Original plants,traits,microstructures and UV spectra were used for identification. [Results]For the...[Objectives] To provide basis for identification,development and use of Campsis grandiflora( Thunb.) Schum. [Methods]Original plants,traits,microstructures and UV spectra were used for identification. [Results]For the first time,the pharmacognostical characteristics were elaborated about stems and leaves of Campsis grandiflora( Thunb.) Schum. [Conclusions] This study is expected to provide basis for pharmacognostical quality standard of stems and leaves of Campsis grandiflora( Thunb.) Schum.展开更多
A self-standing,flexible and lithium dendrite growth-suppressing composite gel polymer electrolyte membrane was designed for the use of room-temperature lithium ion batteries.The multi-functional composite semi-interp...A self-standing,flexible and lithium dendrite growth-suppressing composite gel polymer electrolyte membrane was designed for the use of room-temperature lithium ion batteries.The multi-functional composite semi-interpenetrating polymer network(referred to as“Cs-IPN”)electrolyte membrane was fabricated by combining a UV-cured ethoxylated trimethylolpropane triacrylate(ETPTA)macromer with alumina nanoparticles in the presence of liquid electrolyte and thermoplastic linear poly(ethylene oxide)(PEO).The polymer electrolyte membrane exhibits a semi-interpenetrating polymer network structure and a higher room temperature ionic conductivity,which impart the electrolyte with a significant cycling(120 mAh g^(-1)after 200 cycles)and a remarkable rate(137 mAh g^(-1)at 0.1℃,130 mAh g^(-1)at 0.5℃,119 mAh g^(-1)at 1℃ and 100 mAh g^(-1)at 2℃)performance in Li/LiFePO4 battery.More importantly,the polymer electrolyte possesses superior ability to inhibit the growth of lithium dendrites,which makes it promising for next generation lithium ion batteries.展开更多
The safety issues and lower energy density of the lithium metal batteries are the two main challenges that hinder their applications in the fields of electric vehicles and portable devices.In this work,the semi-interp...The safety issues and lower energy density of the lithium metal batteries are the two main challenges that hinder their applications in the fields of electric vehicles and portable devices.In this work,the semi-interpenetrated polyvinylidene fluoride-hexafluoropropylene(PVdF-HFP)-based gel polymer electrolyte was synthesized through UV-curing method by employing the ethoxylated trimethylolpropane triacrylate(ETPTA)monomer.The semi-interpenetrating networks formed by polymerization of ETPTA and the high liquid absorption rate of the PVdF-HFP impart the as-prepared electrolyte with a high room temperature ionic conductivity of 3.17×10-3 s cm^(-1)and a high mechanical strength of 3.46 MPa.LiFePO4 was selected as cathode materials,and the active material loading of the cathode is about 4.2 mg cm-2.The electrolyte shows superior long-term cycling properties(127 mAh g^(-1)after 200 cycles at 0.5 C),excellent rate performance(113 mAh g^(-1)at1 C,80 mAh g^(-1)at 2 C,and the discharge capacity of 135 mAh g^(-1)can be restored when the rate goes back to 0.1 C)as well as good ability to inhibit the growth of lithium dendrite(about 150 h).The facile synthesis strategy and great electrochemical performance of the electrolyte make it a potential candidate for lithium metal batteries.展开更多
Backgrounds Time-lapse live cell imaging of a growing cell population is routine in many biological investigations.A major challenge in imaging analysis is accurate segmentation,a process to define the boundaries of c...Backgrounds Time-lapse live cell imaging of a growing cell population is routine in many biological investigations.A major challenge in imaging analysis is accurate segmentation,a process to define the boundaries of cells based on raw image data.Current segmentation methods relying on single boundary features have problems in robustness when dealing with inhomogeneous foci which invariably happens in cell population imaging.Methods:Combined with a multi-layer training set strategy,we developed a neural-network-based algorithm—Cellbow.Results'Cellbow can achieve accurate and robust segmentation of cells in broad and general settings.It can also facilitate long-term tracking of cell growth and division.To facilitate the application of Cellbow,we provide a website on which one can online test the software,as well as an I mage J plugin for the user to visualize the performance before software installation.Conclusions Cellbow is customizable and generalizable.It is broadly applicable to segmenting fluorescent images of diverse cell types with no further training needed.For bright-field images,only a small set of sample images of the specific cell type from the user may be needed for training.展开更多
基金supported by the USTC Research Funds of the Double First-Class Initiative(YD2090002008)the Fundamental Research Funds for the Central Universities(WK2090000032).
基金supported by National Natural Science Foundation of China(No.32000355 and No.32370561)Research start-up funds of Anhui Normal University(No.751865)Anhui Forestry Science and Technology Innovation Project(AHLYCX-2021-01).
文摘Genetic factors play a key role in determination of the structure of the cloacal flora for newborn Chinese Alligators.We collected the cloacal microbiomes for 24 newborn Chinese Alligators from three different genetic backgrounds for 16S gene amplicon sequencing.The number of cloacal flora for the Chinese Alligators from different groups was comparable but differed structurally.There were variations in proportions of floral compositions at the phylum and family levels;however,the main difference was at the genus level.There were two significant differences in richness and evenness among the three groups.Non-metric multidimensional scaling NMDS analysis revealed that the 24 samples could be clearly divided into three categories based on their genetic backgrounds(stress=0.0244).Thus,we postulated that newborn Chinese Alligators with different genetic backgrounds have different immune strengths,which affects individual responses to environmental microorganisms.In summary,newborn Chinese Alligators from different genetic backgrounds exhibit variations in cloacal microbiome.
基金Supported by Science and Technology Planning Project of Tianjin(17JCYBJC29800)Science and Technology Planning Project of Tianjin(16PTZSTG00020)
文摘[Objectives] To provide basis for identification,development and use of Campsis grandiflora( Thunb.) Schum. [Methods]Original plants,traits,microstructures and UV spectra were used for identification. [Results]For the first time,the pharmacognostical characteristics were elaborated about stems and leaves of Campsis grandiflora( Thunb.) Schum. [Conclusions] This study is expected to provide basis for pharmacognostical quality standard of stems and leaves of Campsis grandiflora( Thunb.) Schum.
基金The authors acknowledge the financial support from the National Natural Science Foundation of China(NSFCeNo.51202117)Natural Science Foundation of Beijing(No.2162037 and L182062),the Beijing Nova Program(Z171100001117077)+4 种基金the Beijing outstanding talent program(No.2015000020124G121)the Fundamental Research Funds for the Central Universities(No.2014QJ02)the State Key Laboratory of Coal Resources and Safe Mining(No.SKLCRSM16KFB04)the Key Laboratory of Advanced Materials of Ministry of Education(No.2018AML03)the Yue Qi Young Scholar Project of China University of Mining&Technology(Beijing)(No.2017QN17).
文摘A self-standing,flexible and lithium dendrite growth-suppressing composite gel polymer electrolyte membrane was designed for the use of room-temperature lithium ion batteries.The multi-functional composite semi-interpenetrating polymer network(referred to as“Cs-IPN”)electrolyte membrane was fabricated by combining a UV-cured ethoxylated trimethylolpropane triacrylate(ETPTA)macromer with alumina nanoparticles in the presence of liquid electrolyte and thermoplastic linear poly(ethylene oxide)(PEO).The polymer electrolyte membrane exhibits a semi-interpenetrating polymer network structure and a higher room temperature ionic conductivity,which impart the electrolyte with a significant cycling(120 mAh g^(-1)after 200 cycles)and a remarkable rate(137 mAh g^(-1)at 0.1℃,130 mAh g^(-1)at 0.5℃,119 mAh g^(-1)at 1℃ and 100 mAh g^(-1)at 2℃)performance in Li/LiFePO4 battery.More importantly,the polymer electrolyte possesses superior ability to inhibit the growth of lithium dendrites,which makes it promising for next generation lithium ion batteries.
基金financially supported by the Natural Science Foundation of Beijing Municipal(No.L182062)the talents project of Beijing Municipal Committee Organization Department(No.2018000021223ZK21)+1 种基金the Yue Qi Young Scholar Project of China University of Mining&Technology(Beijing)(No.2017QN17)the Fundamental Research Funds for the Central Universities(Nos.2020XJJD01 and 2020YJSJD01)。
文摘The safety issues and lower energy density of the lithium metal batteries are the two main challenges that hinder their applications in the fields of electric vehicles and portable devices.In this work,the semi-interpenetrated polyvinylidene fluoride-hexafluoropropylene(PVdF-HFP)-based gel polymer electrolyte was synthesized through UV-curing method by employing the ethoxylated trimethylolpropane triacrylate(ETPTA)monomer.The semi-interpenetrating networks formed by polymerization of ETPTA and the high liquid absorption rate of the PVdF-HFP impart the as-prepared electrolyte with a high room temperature ionic conductivity of 3.17×10-3 s cm^(-1)and a high mechanical strength of 3.46 MPa.LiFePO4 was selected as cathode materials,and the active material loading of the cathode is about 4.2 mg cm-2.The electrolyte shows superior long-term cycling properties(127 mAh g^(-1)after 200 cycles at 0.5 C),excellent rate performance(113 mAh g^(-1)at1 C,80 mAh g^(-1)at 2 C,and the discharge capacity of 135 mAh g^(-1)can be restored when the rate goes back to 0.1 C)as well as good ability to inhibit the growth of lithium dendrite(about 150 h).The facile synthesis strategy and great electrochemical performance of the electrolyte make it a potential candidate for lithium metal batteries.
基金This work was supported by the Ministry of Science and Technology of China(2015CB910300)the National Key Research and Development Program of China(2018YFA0900700)the National Natural Science Foundation of China(NSFC31700733).Part of the analysis was performed on the High Performance Computing Platform of the Center for Life Science.
文摘Backgrounds Time-lapse live cell imaging of a growing cell population is routine in many biological investigations.A major challenge in imaging analysis is accurate segmentation,a process to define the boundaries of cells based on raw image data.Current segmentation methods relying on single boundary features have problems in robustness when dealing with inhomogeneous foci which invariably happens in cell population imaging.Methods:Combined with a multi-layer training set strategy,we developed a neural-network-based algorithm—Cellbow.Results'Cellbow can achieve accurate and robust segmentation of cells in broad and general settings.It can also facilitate long-term tracking of cell growth and division.To facilitate the application of Cellbow,we provide a website on which one can online test the software,as well as an I mage J plugin for the user to visualize the performance before software installation.Conclusions Cellbow is customizable and generalizable.It is broadly applicable to segmenting fluorescent images of diverse cell types with no further training needed.For bright-field images,only a small set of sample images of the specific cell type from the user may be needed for training.
