Theγ-PGA-based food hydrogel exhibits good biodegradability and biocompatibility,and is non-toxic to humans.In this study,a novel hydrogel(γ-PGA/casein composite hydrogel)was prepared by combining casein with y-PGA ...Theγ-PGA-based food hydrogel exhibits good biodegradability and biocompatibility,and is non-toxic to humans.In this study,a novel hydrogel(γ-PGA/casein composite hydrogel)was prepared by combining casein with y-PGA separated from natto using microbial transglutaminase(MTG)as the crosslinker.The effects of the MTG mass concentration,gelation time,crosslinking temperature,pH,and the mass ratio of y-PGA to casein on the crosslinking ratio of y-PGA and swelling ratio of theγ-PGA/casein hydrogel were investigated.Furthermore,the synthesis conditions were optimized by response surface methodology to optimize three important factors,i.e.crosslinking temperature,pH and the mass ratio of y-PGA to casein.The results of single factor experiments showed that the MTG mass concentration and crosslinking time had little impacts on the crosslinking ratio of y-PGA and the swelling ratio;the preferred MTG mass concentration,crosslinking time,temperature and pH were selected as 0.3%,7 h,40℃and 7.5;and the preferred mass ratio ofγ-PGA to casein was 0.1 for the crosslinking ratio ofγ-PGA and 0.2 for the swelling ratio.The response surface experiment results showed that the optimum crosslinking temperature,pH and the mass ratio of y-PGA to casein ratio were 42.4℃,7.33,and 0.18,respectively.Under these optimum conditions,the predicted crosslinking ratio of y-PGA and swelling ratio reached 90.35%and 112.07%,which were highly consistent with the experimental values(88.00%and 115.87%).Theγ-PGA/casein composite hydrogel developed in this study shows promising application potential in food industry,biomedical field,and cosmetic industry.展开更多
Daily Electronic Toll Collection(ETC)traffic flow prediction is one of the fundamental processes in ETC management.The precise prediction of traffic flow provides instructions for transportation hub management solutio...Daily Electronic Toll Collection(ETC)traffic flow prediction is one of the fundamental processes in ETC management.The precise prediction of traffic flow provides instructions for transportation hub management solution planning and ETC lane construction.At present,some of studies are proposed in forecasting traffic flow.However,most studies of model presentation are in the form of mathematical expressions,and it is difficult to describe the trend accurately.Therefore,an ETC traffic flow prediction model based on k nearest neighbor searching(k-NN)and Back Propagation(BP)neural network is proposed,which takes the effect of external factors like holiday,the free of highway and weather etc.into consideration.The traffic flow data of highway ETC lane somewhere is used for prediction.The prediction results indicate that the total average absolute relative error is 5.01%.The accuracy suggests its advantage in traffic flow prediction and on site application.展开更多
Background:Bladder cancer(BLCA)is the most prevalent malignancy in the urinary tract system,while ST3GAL5 is a protein-coding gene that catalyzes the formation of ganglioside monosialodihexosylganglioside 3(GM3)syntha...Background:Bladder cancer(BLCA)is the most prevalent malignancy in the urinary tract system,while ST3GAL5 is a protein-coding gene that catalyzes the formation of ganglioside monosialodihexosylganglioside 3(GM3)synthase.GM3 synthase has been reported to significantly influence the malignant process of various cancers.However,the expression profile and functional role of ST3GAL5 specifucally in BLCA remain to be elucidated.Methods:In order to investigate the relationship between ST3GAL5 expression and malignant biological behavior and prognosis in BLCA.The mRNA expression of ST3GAL5 and clinicopathological characteristics in BLCA were firstly evaluated by public databases.Next,immunohistochemical staining was performed to analyze the protein expression of ST3GAL5 in BLCA and paracancerous tissues,as well as the expression of various types of malignant biological behavior.Subsequently,the gene set enrichment analyses(GSEA)were performed for ST3GAL5 and all correlated genes in BLCA by sorting Pearson's Correlation Coefficient.GSEA was also used to validate the pathways affected by the different expression levels of ST3GAL5 in BLCA patients.Results:The mRNA and protein expression of ST3GAL5 in BLCA were significantly higher in low-grade and non-muscle-invasive BLCA(p<0.05).The results from bioinformatics databases indicated that upregulation of ST3GAL5 have a lower grade,lower pathological stage,less susceptibility to lymphatic metastasis,and lower mortality rates.Kaplan–Meier survival analysis demonstrated that upregulation of ST3GAL5 was associated with better survival in BLCA(p<0.05).Conclusion:Upregulation of ST3GAL5 may be related to tumor suppression in BLCA,and may be a potential prognostic and therapeutic marker for BLCA.展开更多
CRISPR/Cas-mediated genome editing has greatly facilitated the study of gene function in Streptomyces. However, it could not be efficiently employed in streptomycetes with low homologous recombination(HR) ability. Her...CRISPR/Cas-mediated genome editing has greatly facilitated the study of gene function in Streptomyces. However, it could not be efficiently employed in streptomycetes with low homologous recombination(HR) ability. Here, a deaminase-assisted base editor d Cas9-CDA-ULstr was developed in Streptomyces, which comprises the nuclease-deficient Cas9(dCas9), the cytidine deaminase from Petromyzon marinus(PmCDA1), the uracil DNA glycosylase inhibitor(UGI) and the protein degradation tag(LVA tag). Using d Cas9-CDA-ULstr , we achieved single-, double-and triple-point mutations(cytosine-to-thymine substitutions)at target sites in Streptomyces coelicolor with efficiency up to 100%, 60% and 20%, respectively. This base editor was also demonstrated to be highly efficient for base editing in the industrial strain, Streptomyces rapamycinicus, which produces the immunosuppressive agent rapamycin. Compared with base editors derived from the cytidine deaminase rAPOBEC1, the PmCDA1-assisted base editor dCas9-CDA-ULstr could edit cytosines preceded by guanosines with high efficiency, which is a great advantage for editing Streptomyces genomes(with high GC content). Collectively, the base editor dCas9-CDA-ULstr could be employed for efficient multiplex genome editing in Streptomyces. Since the d Cas9-CDA-ULstr -based genome editing is independent of HR-mediated DNA repair, we believe this technology will greatly facilitate functional genome research and metabolic engineering in Streptomyces strains with weak HR ability.展开更多
Environmental problems caused by the development of nanotechnology have threatened human health. Investigating the biomedical effects of nanomaterials can help to solve these environmental safety issues. In studies on...Environmental problems caused by the development of nanotechnology have threatened human health. Investigating the biomedical effects of nanomaterials can help to solve these environmental safety issues. In studies on the biomedical effects of nanomaterials, several types of novel nanoscale probes that allow reliable, sensitive, accurate and rapid biomedical detection have emerged. We summarize recent developments in three categories of these nanoprobes, including noble metal nanocluster probes, carbon-based nanostructured probes, and unnatural amino acid-based probes. Besides reviewing the utility of different nanoprobes in cell imaging and protein detection, we also discuss the molecular mechanism of nanoprobe detection. Perspectives of novel nanoprobe design based on molecular details of biomedical detection are presented.展开更多
The development of an efficient, stable, and low-cost hole-transporting material (HTM) is of great significance for perovskite solar cells (PSCs) from future commercialization point of view. Herein, we specifically sy...The development of an efficient, stable, and low-cost hole-transporting material (HTM) is of great significance for perovskite solar cells (PSCs) from future commercialization point of view. Herein, we specifically synthesize a dicationic salt of X60 termed X60(TFSI)2, and adopt it as an effective and stable "doping" agent to replace the previously used lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) for the low-cost organic HTM X60 in PSCs. The incorporation of this dicationic salt significantly increases the hole conductivity of X60 by two orders of magnitude from 10-6 to 10-4 S cm-1. The dramatic enhancement of the conductivity leads to an impressive power conversion efficiency (PCE) of 19.0% measured at 1 sun illumination (100 mW cm-2, AM 1.5 G), which is comparable to that of the device doped with LiTFSI (19.3%) under an identical condition. More strikingly, by replacing LiTFSI, the PSC devices incorporating X60(TFSI)2 also show an excellent long-term durability under ambient atmosphere for 30 days, mainly due to the hydrophobic nature of the X60(TFSI)2 doped HTM layer,which can effectively prevent the moisture destroying the perovskite layer. The present work paves the way for the development of highly efficient, stable, and low-cost HTM for potential commercialization of PSCs.展开更多
Decentralized Online Learning(DOL)extends online learning to the domain of distributed networks.However,limitations of local data in decentralized settings lead to a decrease in the accuracy of decisions or models com...Decentralized Online Learning(DOL)extends online learning to the domain of distributed networks.However,limitations of local data in decentralized settings lead to a decrease in the accuracy of decisions or models compared to centralized methods.Considering the increasing requirement to achieve a high-precision model or decision with distributed data resources in a network,applying ensemble methods is attempted to achieve a superior model or decision with only transferring gradients or models.A new boosting method,namely Boosting for Distributed Online Convex Optimization(BD-OCO),is designed to realize the application of boosting in distributed scenarios.BD-OCO achieves the regret upper bound O(M+N/MNT)where M measures the size of the distributed network and N is the number of Weak Learners(WLs)in each node.The core idea of BD-OCO is to apply the local model to train a strong global one.BD-OCO is evaluated on the basis of eight different real-world datasets.Numerical results show that BD-OCO achieves excellent performance in accuracy and convergence,and is robust to the size of the distributed network.展开更多
基金supported by the Doctoral Scientific Research Start-up Foundation from Henan University of Technology(No:2018BS072)。
文摘Theγ-PGA-based food hydrogel exhibits good biodegradability and biocompatibility,and is non-toxic to humans.In this study,a novel hydrogel(γ-PGA/casein composite hydrogel)was prepared by combining casein with y-PGA separated from natto using microbial transglutaminase(MTG)as the crosslinker.The effects of the MTG mass concentration,gelation time,crosslinking temperature,pH,and the mass ratio of y-PGA to casein on the crosslinking ratio of y-PGA and swelling ratio of theγ-PGA/casein hydrogel were investigated.Furthermore,the synthesis conditions were optimized by response surface methodology to optimize three important factors,i.e.crosslinking temperature,pH and the mass ratio of y-PGA to casein.The results of single factor experiments showed that the MTG mass concentration and crosslinking time had little impacts on the crosslinking ratio of y-PGA and the swelling ratio;the preferred MTG mass concentration,crosslinking time,temperature and pH were selected as 0.3%,7 h,40℃and 7.5;and the preferred mass ratio ofγ-PGA to casein was 0.1 for the crosslinking ratio ofγ-PGA and 0.2 for the swelling ratio.The response surface experiment results showed that the optimum crosslinking temperature,pH and the mass ratio of y-PGA to casein ratio were 42.4℃,7.33,and 0.18,respectively.Under these optimum conditions,the predicted crosslinking ratio of y-PGA and swelling ratio reached 90.35%and 112.07%,which were highly consistent with the experimental values(88.00%and 115.87%).Theγ-PGA/casein composite hydrogel developed in this study shows promising application potential in food industry,biomedical field,and cosmetic industry.
文摘Daily Electronic Toll Collection(ETC)traffic flow prediction is one of the fundamental processes in ETC management.The precise prediction of traffic flow provides instructions for transportation hub management solution planning and ETC lane construction.At present,some of studies are proposed in forecasting traffic flow.However,most studies of model presentation are in the form of mathematical expressions,and it is difficult to describe the trend accurately.Therefore,an ETC traffic flow prediction model based on k nearest neighbor searching(k-NN)and Back Propagation(BP)neural network is proposed,which takes the effect of external factors like holiday,the free of highway and weather etc.into consideration.The traffic flow data of highway ETC lane somewhere is used for prediction.The prediction results indicate that the total average absolute relative error is 5.01%.The accuracy suggests its advantage in traffic flow prediction and on site application.
基金Doctoral Fund Project of First Affiliated Hospital,School of Medicine,Shihezi University,China,Grant/Award Number:BS202110。
文摘Background:Bladder cancer(BLCA)is the most prevalent malignancy in the urinary tract system,while ST3GAL5 is a protein-coding gene that catalyzes the formation of ganglioside monosialodihexosylganglioside 3(GM3)synthase.GM3 synthase has been reported to significantly influence the malignant process of various cancers.However,the expression profile and functional role of ST3GAL5 specifucally in BLCA remain to be elucidated.Methods:In order to investigate the relationship between ST3GAL5 expression and malignant biological behavior and prognosis in BLCA.The mRNA expression of ST3GAL5 and clinicopathological characteristics in BLCA were firstly evaluated by public databases.Next,immunohistochemical staining was performed to analyze the protein expression of ST3GAL5 in BLCA and paracancerous tissues,as well as the expression of various types of malignant biological behavior.Subsequently,the gene set enrichment analyses(GSEA)were performed for ST3GAL5 and all correlated genes in BLCA by sorting Pearson's Correlation Coefficient.GSEA was also used to validate the pathways affected by the different expression levels of ST3GAL5 in BLCA patients.Results:The mRNA and protein expression of ST3GAL5 in BLCA were significantly higher in low-grade and non-muscle-invasive BLCA(p<0.05).The results from bioinformatics databases indicated that upregulation of ST3GAL5 have a lower grade,lower pathological stage,less susceptibility to lymphatic metastasis,and lower mortality rates.Kaplan–Meier survival analysis demonstrated that upregulation of ST3GAL5 was associated with better survival in BLCA(p<0.05).Conclusion:Upregulation of ST3GAL5 may be related to tumor suppression in BLCA,and may be a potential prognostic and therapeutic marker for BLCA.
基金supported by the National Drug Innovation Major Project (2018ZX09711001-006-012)the National Natural Science Foundation of China (31770088,31570072 and 31430004)+2 种基金the Science and Technology Commission of Shanghai Municipality(18ZR1446700)the Derivative Bank of Chinese Biological Resources,CAS(ZSYS-016)Shanghai Engineering Research Center of Plant Germplasm Resources (17DZ2252700)。
文摘CRISPR/Cas-mediated genome editing has greatly facilitated the study of gene function in Streptomyces. However, it could not be efficiently employed in streptomycetes with low homologous recombination(HR) ability. Here, a deaminase-assisted base editor d Cas9-CDA-ULstr was developed in Streptomyces, which comprises the nuclease-deficient Cas9(dCas9), the cytidine deaminase from Petromyzon marinus(PmCDA1), the uracil DNA glycosylase inhibitor(UGI) and the protein degradation tag(LVA tag). Using d Cas9-CDA-ULstr , we achieved single-, double-and triple-point mutations(cytosine-to-thymine substitutions)at target sites in Streptomyces coelicolor with efficiency up to 100%, 60% and 20%, respectively. This base editor was also demonstrated to be highly efficient for base editing in the industrial strain, Streptomyces rapamycinicus, which produces the immunosuppressive agent rapamycin. Compared with base editors derived from the cytidine deaminase rAPOBEC1, the PmCDA1-assisted base editor dCas9-CDA-ULstr could edit cytosines preceded by guanosines with high efficiency, which is a great advantage for editing Streptomyces genomes(with high GC content). Collectively, the base editor dCas9-CDA-ULstr could be employed for efficient multiplex genome editing in Streptomyces. Since the d Cas9-CDA-ULstr -based genome editing is independent of HR-mediated DNA repair, we believe this technology will greatly facilitate functional genome research and metabolic engineering in Streptomyces strains with weak HR ability.
基金the National Natural Science Foundation of China (11404333, 31571026)the National Key Basic Research Program of China (2013CB933704)
文摘Environmental problems caused by the development of nanotechnology have threatened human health. Investigating the biomedical effects of nanomaterials can help to solve these environmental safety issues. In studies on the biomedical effects of nanomaterials, several types of novel nanoscale probes that allow reliable, sensitive, accurate and rapid biomedical detection have emerged. We summarize recent developments in three categories of these nanoprobes, including noble metal nanocluster probes, carbon-based nanostructured probes, and unnatural amino acid-based probes. Besides reviewing the utility of different nanoprobes in cell imaging and protein detection, we also discuss the molecular mechanism of nanoprobe detection. Perspectives of novel nanoprobe design based on molecular details of biomedical detection are presented.
基金supported by the National Natural Science Foundation of China (21606039, 51661135021, 91233201)the Fundamental Research Funds for the Central UniversitiesSwedish Foundation for Strategic Research (SSF),the Swedish Energy Agency, and the Knut and Alice Wallenberg Foundation
文摘The development of an efficient, stable, and low-cost hole-transporting material (HTM) is of great significance for perovskite solar cells (PSCs) from future commercialization point of view. Herein, we specifically synthesize a dicationic salt of X60 termed X60(TFSI)2, and adopt it as an effective and stable "doping" agent to replace the previously used lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) for the low-cost organic HTM X60 in PSCs. The incorporation of this dicationic salt significantly increases the hole conductivity of X60 by two orders of magnitude from 10-6 to 10-4 S cm-1. The dramatic enhancement of the conductivity leads to an impressive power conversion efficiency (PCE) of 19.0% measured at 1 sun illumination (100 mW cm-2, AM 1.5 G), which is comparable to that of the device doped with LiTFSI (19.3%) under an identical condition. More strikingly, by replacing LiTFSI, the PSC devices incorporating X60(TFSI)2 also show an excellent long-term durability under ambient atmosphere for 30 days, mainly due to the hydrophobic nature of the X60(TFSI)2 doped HTM layer,which can effectively prevent the moisture destroying the perovskite layer. The present work paves the way for the development of highly efficient, stable, and low-cost HTM for potential commercialization of PSCs.
基金This work was supported by the National Natural Science Foundation of China(No.U19B2024)the National Key Research and Development Program(No.2018YFE0207600)。
文摘Decentralized Online Learning(DOL)extends online learning to the domain of distributed networks.However,limitations of local data in decentralized settings lead to a decrease in the accuracy of decisions or models compared to centralized methods.Considering the increasing requirement to achieve a high-precision model or decision with distributed data resources in a network,applying ensemble methods is attempted to achieve a superior model or decision with only transferring gradients or models.A new boosting method,namely Boosting for Distributed Online Convex Optimization(BD-OCO),is designed to realize the application of boosting in distributed scenarios.BD-OCO achieves the regret upper bound O(M+N/MNT)where M measures the size of the distributed network and N is the number of Weak Learners(WLs)in each node.The core idea of BD-OCO is to apply the local model to train a strong global one.BD-OCO is evaluated on the basis of eight different real-world datasets.Numerical results show that BD-OCO achieves excellent performance in accuracy and convergence,and is robust to the size of the distributed network.
