Boron is an ambitious fuel in energetic materials since its high heat release values,but its application is prohibited by low combustion efficiency and oxidization during storage.The polydopamine(PDA)was introduced in...Boron is an ambitious fuel in energetic materials since its high heat release values,but its application is prohibited by low combustion efficiency and oxidization during storage.The polydopamine(PDA)was introduced into boron particles,investigating the impact of PDA content on the energetic behavior of boron.The results indicated that the PDA coating formed a fishing net structure on the surface of boron particles.The heat release results showed that the combustion calorific value of B@PDA was higher than that of the raw boron.Specifically,the actual combustion heat of boron powder in B@10%PDA increased by 38.08%.Meanwhile,the DSC peak temperature decreased by 100.65℃under similar oxidation rate compared to raw boron.Simultaneously,the B@PDA@AP and B@AP composites were prepared,and their combustion properties were evaluated.It was demonstrated that B@10%PDA@AP exhibited superior performance in terms of peak pressure and burning time,respectively.The peak pressure is 12.43 kPa more than B@AP and burning time is 2.22 times higher than B@AP.Therefore,the coating of PDA effectively inhibits the oxidization of boron during storage and enhances the energetic behavior of boron and corresponding composites.展开更多
OBJECTIVE Behavior research and urinary metabolomics method were applied to evaluate the anti-aging effects of Scutellaria baicalensis Georgi extract(SBG)in D-galactose-induced rats.METHODS Fifty rats were randomly di...OBJECTIVE Behavior research and urinary metabolomics method were applied to evaluate the anti-aging effects of Scutellaria baicalensis Georgi extract(SBG)in D-galactose-induced rats.METHODS Fifty rats were randomly divided into five groups(n=10in each group).Group 1served as vehicle control with injection of saline(vehicle control group),and the other groups of rats received daily subcutaneously injected with D-galactose(aged model group)at dose of 100mg·kg-1 for ten weeks,respectively.At the same time,rats in groups 3-5were intragastrically administered SBG 〔extracted twice with 60%(V/V)ethanol〕at doses of 50,100 and 200mg·kg-1 for ten weeks,and the rats of groups 1 and 2 were administrated an equal volume of the vehicle.At the tenth week,the learning and memory abilities were examined by Morris water maze.The urine was collected using metabolic cages and analyzed by high-resolution 1HNMR spectroscopy combined with multivariate statistical analyses.Principal component analysis(PCA)was utilized to classify and reveal the differences between the model group and control group.Then,the concentration of these differences was analyzed with t-test to determine whether SBG was possible to influence the metabolic pattern induced by D-galactose.RESULTS Compared with the vehicle control group,the D-galactose-treated aged model group markedly spent longer time(P<0.05)in finding the platform on days 3-5 in the spatial learning acquisition training of Morris water maze test.However,the escape latency was significantly reduced(P<0.05)by long-term administration of SBG(50,100 and 200mg·kg-1)compared with the D-galactose-treated aged model group on days 3-5.In the probe test,the D-galactose-treated aged model group made fewer(P<0.05)platform crossings and distance travelled in target quadrant(P<0.05)than the vehicle control group,and the SBG at doses of 50,100 and 200mg·kg-1 treatments groups could significantly increase(P<0.05)the number of times of crossing over the platform site.The SBG at doses of100 and 200mg·kg-1 treatments groups could significantly increase(P<0.05)the distance travelled in target quadrant compared with the D-galactose-treated aged model group.In addition,the significant difference in metabolic profiling was observed from model group compared with drug-dose group by using PCA,indicating the recovery effect of SBG on D-galactose induced aging rats.Some significantly changed metabolites like glycine,glucose and hexadecanoic acid have been identified.These biochemical changes are related to the the disturbance in aimno acid metabolism,energy metabolism and glycometabolism,which are helpful to further understanding the D-galactose induced aging rats and the therapeutic mechanism of SBG.CONCLUSION These results demonstrate that SBG extract has protective effect on the D-galactose-induced aging in rats.展开更多
A new approach is proposed in this study for accountable capability improvement based on interpretable capability evaluation using the belief rule base(BRB).Firstly,a capability evaluation model is constructed and opt...A new approach is proposed in this study for accountable capability improvement based on interpretable capability evaluation using the belief rule base(BRB).Firstly,a capability evaluation model is constructed and optimized.Then,the key sub-capabilities are identified by quantitatively calculating the contributions made by each sub-capability to the overall capability.Finally,the overall capability is improved by optimizing the identified key sub-capabilities.The theoretical contributions of the proposed approach are as follows.(i)An interpretable capability evaluation model is constructed by employing BRB which can provide complete access to decision-makers.(ii)Key sub-capabilities are identified according to the quantitative contribution analysis results.(iii)Accountable capability improvement is carried out by only optimizing the identified key sub-capabilities.Case study results show that“Surveillance”,“Positioning”,and“Identification”are identified as key sub-capabilities with a summed contribution of 75.55%in an analytical and deducible fashion based on the interpretable capability evaluation model.As a result,the overall capability is improved by optimizing only the identified key sub-capabilities.The overall capability can be greatly improved from 59.20%to 81.80%with a minimum cost of 397.Furthermore,this paper also investigates how optimizing the BRB with more collected data would affect the evaluation results:only optimizing“Surveillance”and“Positioning”can also improve the overall capability to 81.34%with a cost of 370,which thus validates the efficiency of the proposed approach.展开更多
在新一代信息技术革命驱动下,ICT(Information and Communications Technology,信息通信技术)制造业产业竞争力越来越受制于供应链韧性,不断整合、构建和重新配置内外部资源,优化生产要素组合是企业增强供应链韧性的有效途径。以2018-2...在新一代信息技术革命驱动下,ICT(Information and Communications Technology,信息通信技术)制造业产业竞争力越来越受制于供应链韧性,不断整合、构建和重新配置内外部资源,优化生产要素组合是企业增强供应链韧性的有效途径。以2018-2022年ICT制造业上市企业为研究样本,选取新型生产要素代理变量,构建供应链韧性评价指标体系,运用面板数据回归模型揭示新型生产要素对ICT制造业供应链韧性的影响。研究发现:(1)数据要素、管理要素对ICT制造业供应链韧性呈显著正向影响,知识要素、技术要素呈显著负向影响,当组合作用时数据要素和知识要素之间存在替代效应,即数据要素水平普遍提升时,知识悖论风险对供应链韧性的负面影响受到一定程度抑制;(2)ICT制造业产业上下游企业供应链韧性存在显著差异,下游企业供应链韧性优于上游企业,且新型要素对上下游供应链韧性具有不同作用;(3)产业地区间竞争格局分化明显,新型要素对供应链韧性的影响存在区域异质性。据此,提出如下建议:促进各要素间协同应用,加强安全管理;促进上下游供应链伙伴间沟通合作,深化供应链各环节协同配套;鼓励中西部地区ICT制造业企业发展,引导新型生产要素在区域之间、产业之间双向流动,培育产业竞争新优势。展开更多
文摘Boron is an ambitious fuel in energetic materials since its high heat release values,but its application is prohibited by low combustion efficiency and oxidization during storage.The polydopamine(PDA)was introduced into boron particles,investigating the impact of PDA content on the energetic behavior of boron.The results indicated that the PDA coating formed a fishing net structure on the surface of boron particles.The heat release results showed that the combustion calorific value of B@PDA was higher than that of the raw boron.Specifically,the actual combustion heat of boron powder in B@10%PDA increased by 38.08%.Meanwhile,the DSC peak temperature decreased by 100.65℃under similar oxidation rate compared to raw boron.Simultaneously,the B@PDA@AP and B@AP composites were prepared,and their combustion properties were evaluated.It was demonstrated that B@10%PDA@AP exhibited superior performance in terms of peak pressure and burning time,respectively.The peak pressure is 12.43 kPa more than B@AP and burning time is 2.22 times higher than B@AP.Therefore,the coating of PDA effectively inhibits the oxidization of boron during storage and enhances the energetic behavior of boron and corresponding composites.
基金The project supported by the Construction Plan for Basic Condition Platform of Shanxi(2014091022)Program of Science and Technology of Shanxi Province(20140313008-14)
文摘OBJECTIVE Behavior research and urinary metabolomics method were applied to evaluate the anti-aging effects of Scutellaria baicalensis Georgi extract(SBG)in D-galactose-induced rats.METHODS Fifty rats were randomly divided into five groups(n=10in each group).Group 1served as vehicle control with injection of saline(vehicle control group),and the other groups of rats received daily subcutaneously injected with D-galactose(aged model group)at dose of 100mg·kg-1 for ten weeks,respectively.At the same time,rats in groups 3-5were intragastrically administered SBG 〔extracted twice with 60%(V/V)ethanol〕at doses of 50,100 and 200mg·kg-1 for ten weeks,and the rats of groups 1 and 2 were administrated an equal volume of the vehicle.At the tenth week,the learning and memory abilities were examined by Morris water maze.The urine was collected using metabolic cages and analyzed by high-resolution 1HNMR spectroscopy combined with multivariate statistical analyses.Principal component analysis(PCA)was utilized to classify and reveal the differences between the model group and control group.Then,the concentration of these differences was analyzed with t-test to determine whether SBG was possible to influence the metabolic pattern induced by D-galactose.RESULTS Compared with the vehicle control group,the D-galactose-treated aged model group markedly spent longer time(P<0.05)in finding the platform on days 3-5 in the spatial learning acquisition training of Morris water maze test.However,the escape latency was significantly reduced(P<0.05)by long-term administration of SBG(50,100 and 200mg·kg-1)compared with the D-galactose-treated aged model group on days 3-5.In the probe test,the D-galactose-treated aged model group made fewer(P<0.05)platform crossings and distance travelled in target quadrant(P<0.05)than the vehicle control group,and the SBG at doses of 50,100 and 200mg·kg-1 treatments groups could significantly increase(P<0.05)the number of times of crossing over the platform site.The SBG at doses of100 and 200mg·kg-1 treatments groups could significantly increase(P<0.05)the distance travelled in target quadrant compared with the D-galactose-treated aged model group.In addition,the significant difference in metabolic profiling was observed from model group compared with drug-dose group by using PCA,indicating the recovery effect of SBG on D-galactose induced aging rats.Some significantly changed metabolites like glycine,glucose and hexadecanoic acid have been identified.These biochemical changes are related to the the disturbance in aimno acid metabolism,energy metabolism and glycometabolism,which are helpful to further understanding the D-galactose induced aging rats and the therapeutic mechanism of SBG.CONCLUSION These results demonstrate that SBG extract has protective effect on the D-galactose-induced aging in rats.
基金supported by the National Natural Science Foundation of China(72471067,72431011,72471238,72231011,62303474,72301286)the Fundamental Research Funds for the Provincial Universities of Zhejiang(GK239909299001-010).
文摘A new approach is proposed in this study for accountable capability improvement based on interpretable capability evaluation using the belief rule base(BRB).Firstly,a capability evaluation model is constructed and optimized.Then,the key sub-capabilities are identified by quantitatively calculating the contributions made by each sub-capability to the overall capability.Finally,the overall capability is improved by optimizing the identified key sub-capabilities.The theoretical contributions of the proposed approach are as follows.(i)An interpretable capability evaluation model is constructed by employing BRB which can provide complete access to decision-makers.(ii)Key sub-capabilities are identified according to the quantitative contribution analysis results.(iii)Accountable capability improvement is carried out by only optimizing the identified key sub-capabilities.Case study results show that“Surveillance”,“Positioning”,and“Identification”are identified as key sub-capabilities with a summed contribution of 75.55%in an analytical and deducible fashion based on the interpretable capability evaluation model.As a result,the overall capability is improved by optimizing only the identified key sub-capabilities.The overall capability can be greatly improved from 59.20%to 81.80%with a minimum cost of 397.Furthermore,this paper also investigates how optimizing the BRB with more collected data would affect the evaluation results:only optimizing“Surveillance”and“Positioning”can also improve the overall capability to 81.34%with a cost of 370,which thus validates the efficiency of the proposed approach.
文摘在新一代信息技术革命驱动下,ICT(Information and Communications Technology,信息通信技术)制造业产业竞争力越来越受制于供应链韧性,不断整合、构建和重新配置内外部资源,优化生产要素组合是企业增强供应链韧性的有效途径。以2018-2022年ICT制造业上市企业为研究样本,选取新型生产要素代理变量,构建供应链韧性评价指标体系,运用面板数据回归模型揭示新型生产要素对ICT制造业供应链韧性的影响。研究发现:(1)数据要素、管理要素对ICT制造业供应链韧性呈显著正向影响,知识要素、技术要素呈显著负向影响,当组合作用时数据要素和知识要素之间存在替代效应,即数据要素水平普遍提升时,知识悖论风险对供应链韧性的负面影响受到一定程度抑制;(2)ICT制造业产业上下游企业供应链韧性存在显著差异,下游企业供应链韧性优于上游企业,且新型要素对上下游供应链韧性具有不同作用;(3)产业地区间竞争格局分化明显,新型要素对供应链韧性的影响存在区域异质性。据此,提出如下建议:促进各要素间协同应用,加强安全管理;促进上下游供应链伙伴间沟通合作,深化供应链各环节协同配套;鼓励中西部地区ICT制造业企业发展,引导新型生产要素在区域之间、产业之间双向流动,培育产业竞争新优势。
