The utilization of neutrons markedly affects the medical isotope yield of a subcritical system driven by an external D-T neutron source.The general methods to improve the utilization of neutrons include moderating mul...The utilization of neutrons markedly affects the medical isotope yield of a subcritical system driven by an external D-T neutron source.The general methods to improve the utilization of neutrons include moderating multiplying,and reflecting neutrons,which ignores the use of neutrons that backscatter to the source direction.In this study,a stacked structure was formed by assembling the multiplier and the low-enriched uranium solution to enable the full use of neutrons that backscatter to the source direction and further improve the utilization of neutrons.A model based on SuperMC was used to evaluate the neutronics and safety behavior of the subcritical system,such as the neutron effective multiplication factor,neutron energy spectrum,medical isotope yield,and heat deposition.Based on the calculation results,when the intensity of the neutron source was 59×10^(13)n/s,the optimized design with a stacked structure could increase the yield of ^(99)Mo to182 Ci/day,which is approximately 16% higher than that obtained with a single-layer structure.The inlet H_(2)O coolant velocity of 1.0 m/s and initial temperature of 20℃ were also found to be sufficient to prevent boiling of the fuel solution.展开更多
Information entropy,as a quantitative measure of complexity in nonlinear systems,has been widely researched in a variety of contexts.With the development of a nonlinear dynamic,the entropy is faced with severe challen...Information entropy,as a quantitative measure of complexity in nonlinear systems,has been widely researched in a variety of contexts.With the development of a nonlinear dynamic,the entropy is faced with severe challenges in dealing with those signals exhibiting extreme volatility.In order to address this problem of weighted permutation entropy,which may result in the inaccurate estimation of extreme volatility,we propose a rescaled range permutation entropy,which selects the ratio of range and standard deviation as the weight of different fragments in the time series,thereby effectively extracting the maximum volatility.By analyzing typical nonlinear systems,we investigate the sensitivities of four methods in chaotic time series where extreme volatility occurs.Compared with sample entropy,fuzzy entropy,and weighted permutation entropy,this rescaled range permutation entropy leads to a significant discernibility,which provides a new method for distinguishing the complexity of nonlinear systems with extreme volatility.展开更多
Sporadic or late-onset Alzheimer’s disease(LOAD)accounts for more than 95%of Alzheimer’s disease(AD)cases without any family history.Although genome-wide association studies have identified associated risk genes and...Sporadic or late-onset Alzheimer’s disease(LOAD)accounts for more than 95%of Alzheimer’s disease(AD)cases without any family history.Although genome-wide association studies have identified associated risk genes and loci for LOAD,numerous studies suggest that many adverse environmental factors,such as social isolation,are associated with an increased risk of dementia.However,the underlying mechanisms of social isolation in AD progression remain elusive.In the current study,we found that 7 days of social isolation could trigger pattern separation impairments and presynaptic abnormalities of the mossy fibre-CA3 circuit in AD mice.We also revealed that social isolation disrupted histone acetylation and resulted in the downregulation of 2 dentate gyrus(DG)-enriched miRNAs,which simultaneously target reticulon 3(RTN3),an endoplasmic reticulum protein that aggregates in presynaptic regions to disturb the formation of functional mossy fibre boutons(MFBs)by recruiting multiple mitochondrial and vesicle-related proteins.Interestingly,the aggregation of RTN3 also recruits the PP2A B subunits to suppress PP2A activity and induce tau hyperphosphorylation,which,in turn,further elevates RTN3 and forms a vicious cycle.Finally,using an artificial intelligence-assisted molecular docking approach,we determined that senktide,a selective agonist of neurokinin3 receptors(NK3R),could reduce the binding of RTN3 with its partners.Moreover,application of senktide in vivo effectively restored DG circuit disorders in socially isolated AD mice.Taken together,our findings not only demonstrate the epigenetic regulatory mechanism underlying mossy fibre synaptic disorders orchestrated by social isolation and tau pathology but also reveal a novel potential therapeutic strategy for AD.展开更多
基金supported by the Natural Science Foundation of Anhui Province(No.1808085MA10)Anhui Provincial Key R&D Program(No.202104g0102007)the National Natural Science Foundation of China(No.21805283)。
文摘The utilization of neutrons markedly affects the medical isotope yield of a subcritical system driven by an external D-T neutron source.The general methods to improve the utilization of neutrons include moderating multiplying,and reflecting neutrons,which ignores the use of neutrons that backscatter to the source direction.In this study,a stacked structure was formed by assembling the multiplier and the low-enriched uranium solution to enable the full use of neutrons that backscatter to the source direction and further improve the utilization of neutrons.A model based on SuperMC was used to evaluate the neutronics and safety behavior of the subcritical system,such as the neutron effective multiplication factor,neutron energy spectrum,medical isotope yield,and heat deposition.Based on the calculation results,when the intensity of the neutron source was 59×10^(13)n/s,the optimized design with a stacked structure could increase the yield of ^(99)Mo to182 Ci/day,which is approximately 16% higher than that obtained with a single-layer structure.The inlet H_(2)O coolant velocity of 1.0 m/s and initial temperature of 20℃ were also found to be sufficient to prevent boiling of the fuel solution.
基金Supported by the National Natural Science Foundation of China(Grant Nos.51527805 and 11572220)。
文摘Information entropy,as a quantitative measure of complexity in nonlinear systems,has been widely researched in a variety of contexts.With the development of a nonlinear dynamic,the entropy is faced with severe challenges in dealing with those signals exhibiting extreme volatility.In order to address this problem of weighted permutation entropy,which may result in the inaccurate estimation of extreme volatility,we propose a rescaled range permutation entropy,which selects the ratio of range and standard deviation as the weight of different fragments in the time series,thereby effectively extracting the maximum volatility.By analyzing typical nonlinear systems,we investigate the sensitivities of four methods in chaotic time series where extreme volatility occurs.Compared with sample entropy,fuzzy entropy,and weighted permutation entropy,this rescaled range permutation entropy leads to a significant discernibility,which provides a new method for distinguishing the complexity of nonlinear systems with extreme volatility.
基金supported partially by the National Key Research and Development Program of China(Grant Nos.2019YFE0121200,2022YFC2403905)the National Natural Science Foundation of China(Grant Nos.82325017,82371403,82030032,82261138555,31721002,32070960,82001164,82001256)+5 种基金Top-Notch Young Talents Program of China of 2014,the China Postdoctoral Science Foundation(Grant No.2018M642855)the Hubei Provincial Natural Science Foundation(Grant No.2022CFA004 to Dr.Ling-Qiang Zhu,2023AFA068 to Dr.Dan Liu,2020CFB657 to Dr.Kai Shu)University of South China Clinical Research 4310 Program(Grant No.20224310NHYCG08)the Science and Technology Innovation Program of Hunan Province(Grant No.2022RC4044)The Key R&D and Promotion Program of Henan Science and Technology Department(Grant Nos.182102310512,202102310354,222102310084)the Henan Province Medical Science and Technology Research Project(Grant No.SBGJ202103052).
文摘Sporadic or late-onset Alzheimer’s disease(LOAD)accounts for more than 95%of Alzheimer’s disease(AD)cases without any family history.Although genome-wide association studies have identified associated risk genes and loci for LOAD,numerous studies suggest that many adverse environmental factors,such as social isolation,are associated with an increased risk of dementia.However,the underlying mechanisms of social isolation in AD progression remain elusive.In the current study,we found that 7 days of social isolation could trigger pattern separation impairments and presynaptic abnormalities of the mossy fibre-CA3 circuit in AD mice.We also revealed that social isolation disrupted histone acetylation and resulted in the downregulation of 2 dentate gyrus(DG)-enriched miRNAs,which simultaneously target reticulon 3(RTN3),an endoplasmic reticulum protein that aggregates in presynaptic regions to disturb the formation of functional mossy fibre boutons(MFBs)by recruiting multiple mitochondrial and vesicle-related proteins.Interestingly,the aggregation of RTN3 also recruits the PP2A B subunits to suppress PP2A activity and induce tau hyperphosphorylation,which,in turn,further elevates RTN3 and forms a vicious cycle.Finally,using an artificial intelligence-assisted molecular docking approach,we determined that senktide,a selective agonist of neurokinin3 receptors(NK3R),could reduce the binding of RTN3 with its partners.Moreover,application of senktide in vivo effectively restored DG circuit disorders in socially isolated AD mice.Taken together,our findings not only demonstrate the epigenetic regulatory mechanism underlying mossy fibre synaptic disorders orchestrated by social isolation and tau pathology but also reveal a novel potential therapeutic strategy for AD.
