La-Mg-Ni-based hydrogen storage alloys with superlattice structures are the new generation anode material for nickel metal hydride(Ni-MH)batteries owing to the advantages of high capacity and exceptional activation pr...La-Mg-Ni-based hydrogen storage alloys with superlattice structures are the new generation anode material for nickel metal hydride(Ni-MH)batteries owing to the advantages of high capacity and exceptional activation properties.However,the cycling stability is not currently satisfactory enough which plagues its application.Herein,a strategy of partially substituting La with the Y element is proposed to boost the capacity durability of La-Mg-Ni-based alloys.Furthermore,phase structure regulation is implemented simultaneously to obtain the A5 B19-type alloy with good crystal stability specifically.It is found that Y promotes the phase formation of the Pr5 Co19-type phase after annealing at 985℃.The alloy containing Y contributes to the superior rate capability resulting from the promoted hydrogen diffusion rate.Notably,Y substitution enables strengthening the anti-pulverization ability of the alloy in terms of increasing the volume match between[A_(2)B_(4)]and[AB5]subunits,and effectively enhances the anti-corrosion ability of the alloy due to high electronegativity,realizing improved long-term cycling stability of the alloy from 74.2%to 78.5%after cycling 300 times.The work is expected to shed light on the composition and structure design of the La-Mg-Ni-based hydrogen storage alloy for Ni-MH batteries.展开更多
Objective: To measure the hospital operation efficiency, study the correlation between average length of stay and hospital operation efficiency, analyze the importance of shortening average length of stay to the impro...Objective: To measure the hospital operation efficiency, study the correlation between average length of stay and hospital operation efficiency, analyze the importance of shortening average length of stay to the improvement of the hospital operation efficiency and put forward relevant policy suggestion. Methods: Based on China provincial panel data from 2003 to 2012, the hospital operation efficiencies are calculated using Super Efficiency Data Envelopment Analysis model, and the correlation between average length of stay and hospital operation efficiency is tested using Spearman rank correlation coefficient test. Results: From 2003 to 2012, the average of national hospital operation efficiency was increasing slowly and the hospital operations were inefficient in most of the areas. The national hospital operation efficiency is negatively correlated to the average length of stay. Conclusion: Measures should be taken to set average length of stay in a scientific and reasonable way, improve social and economic benefits based on the improvement of efficiency.展开更多
With the growing demand for high-precision flow field simulations in computational science and engineering,the super-resolution reconstruction of physical fields has attracted considerable research interest.However,tr...With the growing demand for high-precision flow field simulations in computational science and engineering,the super-resolution reconstruction of physical fields has attracted considerable research interest.However,tradi-tional numerical methods often entail high computational costs,involve complex data processing,and struggle to capture fine-scale high-frequency details.To address these challenges,we propose an innovative super-resolution reconstruction framework that integrates a Fourier neural operator(FNO)with an enhanced diffusion model.The framework employs an adaptively weighted FNO to process low-resolution flow field inputs,effectively capturing global dependencies and high-frequency features.Furthermore,a residual-guided diffusion model is introduced to further improve reconstruction performance.This model uses a Markov chain for noise injection in phys-ical fields and integrates a reverse denoising procedure,efficiently solved by an adaptive time-step ordinary differential equation solver,thereby ensuring both stability and computational efficiency.Experimental results demonstrate that the proposed framework significantly outperforms existing methods in terms of accuracy and efficiency,offering a promising solution for fine-grained data reconstruction in scientific simulations.展开更多
Nonlinear science is a fundamental area of physics research that investigates complex dynamical systems which are often characterized by high sensitivity and nonlinear behaviors.Numerical simulations play a pivotal ro...Nonlinear science is a fundamental area of physics research that investigates complex dynamical systems which are often characterized by high sensitivity and nonlinear behaviors.Numerical simulations play a pivotal role in nonlinear science,serving as a critical tool for revealing the underlying principles governing these systems.In addition,they play a crucial role in accelerating progress across various fields,such as climate modeling,weather forecasting,and fluid dynamics.However,their high computational cost limits their application in high-precision or long-duration simulations.In this study,we propose a novel data-driven approach for simulating complex physical systems,particularly turbulent phenomena.Specifically,we develop an efficient surrogate model based on the wavelet neural operator(WNO).Experimental results demonstrate that the enhanced WNO model can accurately simulate small-scale turbulent flows while using lower computational costs.In simulations of complex physical fields,the improved WNO model outperforms established deep learning models,such as U-Net,Res Net,and the Fourier neural operator(FNO),in terms of accuracy.Notably,the improved WNO model exhibits exceptional generalization capabilities,maintaining stable performance across a wide range of initial conditions and high-resolution scenarios without retraining.This study highlights the significant potential of the enhanced WNO model for simulating complex physical systems,providing strong evidence to support the development of more efficient,scalable,and high-precision simulation techniques.展开更多
With recent developments of deep ultraviolet(DUV)light-emitting diodes and solar-blind detectors,UV communication(UVC)shows great potential in replacing traditional wireless communication in more and more scenarios.Ba...With recent developments of deep ultraviolet(DUV)light-emitting diodes and solar-blind detectors,UV communication(UVC)shows great potential in replacing traditional wireless communication in more and more scenarios.Based on the atmospheric scattering of UV radiation,UVC has gained considerable attention due to its non-line-of-sight ability,omnidirectional communication links and low background noise.These advantages make UVC an ideal option for covert secure communication,especially for military communication.In this review,we present the history and working principle of UVC with a special focus on its light sources and detectors.Comprehensive comparison and application of its light sources and detectors are provided to the best of our knowledge.We further discuss the future application and outlook of UVC.Hopefully,this review will offer valuable insights into the future development of UVC.展开更多
Two-dimensional material membranes with fast transport channels and versatile chemical functionality are promising for molecular separation.Herein,for the first time,we reported design and engineering of two-dimension...Two-dimensional material membranes with fast transport channels and versatile chemical functionality are promising for molecular separation.Herein,for the first time,we reported design and engineering of two-dimensional Ti_(3)C_(2)Tx MXene(called transition metal carbides and nitrides)membranes supported on asymmetric polymeric hollow fiber substrate for water desalination.The membrane morphology,physicochemical properties and ions exclusion performance were systematically investigated.The results demonstrated that surface hydrophilicity and electrostatic repulsion and size sieving effect of interlayer channels synergistically endowed the MXene hollow fiber membrane with fast water permeation and efficient rejection of divalent ions during nanofiltration process.展开更多
Payments for Ecosystem Services(PES)have been studied extensively over the past decade as an important policy tool for coordinating ecological protection and regional socioeconomic development.One of the greatest chal...Payments for Ecosystem Services(PES)have been studied extensively over the past decade as an important policy tool for coordinating ecological protection and regional socioeconomic development.One of the greatest challenges of PES implementation is to understand where to pay,i.e.,spatial targeting,which can directly impact PES effectiveness and efficiency.In this study,we conducted a systematic review of spatial targeting methods based on literature analysis using Citespace.Firstly,peer-reviewed articles related to spatial targeting of PES were selected from the Web of Science database based on keywords.Cases applying PES spatial targeting methods were then chosen and analyzed after all articles were read.In total,70%of the chosen cases focused on improving the compensation efficiency of biodiversity or another single environmental objective,whereas the remaining cases focused on coordinating trade-offs between equity and efficiency or multiple environmental objectives.The main PES spatial targeting approaches included cost-benefit analysis,multi-objective optimization,data envelope analysis and other methods aimed at specific issues.Of these,cost-benefit analysis has been most widely applied at different scales,including county,regional and watershed scales.Significant differences among the different PES spatial targeting methods were found,including in PES spatial targeting dimensions,efficiency optimization approaches and method application conditions.The practice of PES spatial targeting requires the selection of appropriate methods based on contextual biophysical and socioeconomic conditions as well as relevant environmental issues.The combined application of PES spatial targeting methods,compensation willingness of stakeholders and dynamic implementation of PES spatial targeting should be considered in future research.展开更多
Percutaneous coronary intervention is a well-established technique used to treat coronary artery disease,but the risk of coronary artery in-stent restenosis following percutaneous coronary intervention is still high.P...Percutaneous coronary intervention is a well-established technique used to treat coronary artery disease,but the risk of coronary artery in-stent restenosis following percutaneous coronary intervention is still high.Previous studies revealed that high mobility group protein B1(HMGB1)plays a critical role in neointima formation.In this study,we aimed to investigate the role of glycyrrhizic acid(GA),an HMGB1 inhibitor,in the process of neointima formation and the potential mechanisms.We investigated the role of GA in neointima formation through an iliac artery balloon injury model in rabbits.Proliferation,migration,and phenotype transformation of human vascular smooth muscle cells(VSMCs)were observed.Besides,infl ammation and receptor for advanced glycosylation end products(RAGE)signaling pathways were studied.The results indicate that GA attenuated neointima formation and downregulated HMGB1 expression in injured artery in rabbits.HMGB1 promoted proliferation,migration,and phenotype transformation through the activation of RAGE signaling pathways in VSMCs,and blockade of HMGB1 by GA(1,10,and 100μM)could attenuate those processes and reduce proliferation of human VSMCs.In conclusion,the HMGB1 inhibitor GA might be useful to treat proliferative vascular diseases by downregulating RAGE signaling pathways.Our results indicate a new and promising therapeutic agent for restenosis.展开更多
This study focused on the evolution of growth front about AlN growth on nano-patterned sapphire substrate by metal-organic chemical vapor deposition.The substrate with concave cones was fabricated by nano-imprint lith...This study focused on the evolution of growth front about AlN growth on nano-patterned sapphire substrate by metal-organic chemical vapor deposition.The substrate with concave cones was fabricated by nano-imprint lithography and wet etching.Two samples with different epitaxy procedures were fabricated,manifesting as two-dimensional growth mode and three-dimensional growth mode,respectively.The results showed that growth temperature deeply influenced the growth modes and thus played a critical role in the coalescence of AlN.At a relatively high temperature,the AlN epilayer was progressively coalescence and the growth mode was two-dimensional.In this case,we found that the inclined semi-polar facets arising in the process of coalescence were{112^-1}type.But when decreasing the temperature,the{112^-2}semi-polar facets arose,leading to inverse pyramid morphology and obtaining the three-dimensional growth mode.The 3 D inverse pyramid AlN structure could be used for realizing 3 D semi-polar UV-LED or facet-controlled epitaxial lateral overgrowth of AlN.展开更多
One of the major challenges associated with fuel cells is the design of highly efficient electrocatalysts to reduce the high overpotential of the oxygen reduction reaction (ORR). Here we report Polyaniline (PANI) base...One of the major challenges associated with fuel cells is the design of highly efficient electrocatalysts to reduce the high overpotential of the oxygen reduction reaction (ORR). Here we report Polyaniline (PANI) based micro/nanomaterials with or without transition metals, prepared by the emulsion polymerization and subsequent heat treatment. PANI microspheres with the diameter of about 0.7 mu m have been prepared in basic (NH3 solution) condition, using two different types of surfactant (CTAB, SDS) as the stabilizer, ammonium persulphate (APS) as oxidant with aniline/surfactants molar ratio at 1/1 under the hydrothermal treatment. PANI nanorods, Fe-PANI, and Fe-Co-PANI have been synthesized in acidic (HCI) medium with aniline/surfactants molar ratio at 1/2 and polymerization carried out without stirring for 24 h. Products mainly Fe-Co-PANI have shown high current density with increasing sweep rate and excellent specific capacitance 1753 F/g at the scan rate of 1 mV/s. Additionally, it has shown high thermal stability by thermogravimetric analysis (TGA). Fe-PANI has been investigated for excellent performance toward ORR with four electron selectivity in the basic electrolyte. The PANI-based catalysts from emulsion polymerization demonstrate that the method is valuable for making non-precious metal heterogeneous electrocatalysts for ORR or energy storage and conversion technology. (C) 2016 Science Press and Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by Elsevier B.V. and Science Press. All rights reserved.展开更多
Receptor kinases play a pivotal role in detecting environmental signals,and consequently,gene pleiotropy is frequently observed within this family.However,the trade-off in trait expression resulting from gene pleiotro...Receptor kinases play a pivotal role in detecting environmental signals,and consequently,gene pleiotropy is frequently observed within this family.However,the trade-off in trait expression resulting from gene pleiotropy poses a constraint on the utilization of such genes in agricultural breeding.In this study,we identified the receptor kinase gene FERONIA-Like Receptor 13(FLR13)as a pleiotropic gene influencing plant height,tillering,grain yield,and disease resistance.Using promoter editing,we generated novel alleles(FLR13T5T6-1,FLR13T5T6-2)that confer resistance to rice blast and increase per-plant yield.The knockout of the T5T6 segment alleviates the inhibitory effects of two transcription factors,OsGBP1 and OsWRKY53,on FLR13 expression.In summary,our study presents a promising avenue for enhancing the pivotal attributes of receptor-like kinases through a promoter-editing strategy.展开更多
High-quality AlN/sapphire templates were fabricated by the combination of sputtering and high-temperature(HT)annealing.The influence of sputtering parameters including nitrogen flux,radio frequency power,and substrate...High-quality AlN/sapphire templates were fabricated by the combination of sputtering and high-temperature(HT)annealing.The influence of sputtering parameters including nitrogen flux,radio frequency power,and substrate temperature on the crystalline quality and surface morphology of annealed AlN films were investigated.With lower substrate temperature,lower power,and lower N2 flux,the full width at half maximum of the X-ray rocking curve for AlN(0002)and(102)were improved to 97.2 and 259.2 arcsec after high-temperature annealing.This happens because the increased vacancy concentration of sputtered AlN films can facilitate the annihilation of dislocations by increasing the recovery rate during HT annealing.Step and step-bunching morphologies were clearly observed with optimized sputtering conditions.展开更多
Partial differential equations(PDEs)are important tools for scientific research and are widely used in various fields.However,it is usually very difficult to obtain accurate analytical solutions of PDEs,and numerical ...Partial differential equations(PDEs)are important tools for scientific research and are widely used in various fields.However,it is usually very difficult to obtain accurate analytical solutions of PDEs,and numerical methods to solve PDEs are often computationally intensive and very time-consuming.In recent years,Physics Informed Neural Networks(PINNs)have been successfully applied to find numerical solutions of PDEs and have shown great potential.All the while,solitary waves have been of great interest to researchers in the field of nonlinear science.In this paper,we perform numerical simulations of solitary wave solutions of several PDEs using improved PINNs.The improved PINNs not only incorporate constraints on the control equations to ensure the interpretability of the prediction results,which is important for physical field simulations,in addition,an adaptive activation function is introduced.By introducing hyperparameters in the activation function to change the slope of the activation function to avoid the disappearance of the gradient,computing time is saved thereby speeding up training.In this paper,the m Kd V equation,the improved Boussinesq equation,the Caudrey–Dodd–Gibbon–Sawada–Kotera equation and the p-g BKP equation are selected for study,and the errors of the simulation results are analyzed to assess the accuracy of the predicted solitary wave solution.The experimental results show that the improved PINNs are significantly better than the traditional PINNs with shorter training time but more accurate prediction results.The improved PINNs improve the training speed by more than 1.5 times compared with the traditional PINNs,while maintaining the prediction error less than 10~(-2)in this order of magnitude.展开更多
Efficiently solving partial differential equations(PDEs)is a long-standing challenge in mathematics and physics research.In recent years,the rapid development of artificial intelligence technology has brought deep lea...Efficiently solving partial differential equations(PDEs)is a long-standing challenge in mathematics and physics research.In recent years,the rapid development of artificial intelligence technology has brought deep learning-based methods to the forefront of research on numerical methods for partial differential equations.Among them,physics-informed neural networks(PINNs)are a new class of deep learning methods that show great potential in solving PDEs and predicting complex physical phenomena.In the field of nonlinear science,solitary waves and rogue waves have been important research topics.In this paper,we propose an improved PINN that enhances the physical constraints of the neural network model by adding gradient information constraints.In addition,we employ meta-learning optimization to speed up the training process.We apply the improved PINNs to the numerical simulation and prediction of solitary and rogue waves.We evaluate the accuracy of the prediction results by error analysis.The experimental results show that the improved PINNs can make more accurate predictions in less time than that of the original PINNs.展开更多
Various factors can induce cell degeneration by altering the phenotype and metabolism of cells.Mitochondria play an essential role in cellular homeostasis and function,rendering aging processes highly associated with ...Various factors can induce cell degeneration by altering the phenotype and metabolism of cells.Mitochondria play an essential role in cellular homeostasis and function,rendering aging processes highly associated with mitochondrial function and status.Herein,we describe an aging-prone phenotype of murine skin cells caused by depletion of Rad6B(Ube2b),an E2 ubiquitin-conjugating enzyme.In this study,using Masson’s trichrome,we showed that loss of Rad6B causes physiological structure changes in mouse skin with age.In addition,a combination of western blotting experiments,transmission electron microscopy and employment of immunofluorescence staining revealed that depletion of Rad6B was characterized by an abnormal mitochondrial metabolic profile,including decreased mitochondrial biosynthesis and mitochondrial complex activities,increased ROS production and suppressed mitophagy resulting in metabolic disorders.Taken together,these results highlight an important relationship between Rad6B and skin senescence,suggesting that Rad6B plays an indispensable role in maintaining a healthy mitochondrial network and intracellular homeostasis.展开更多
During the Asian summer monsoon(ASM)season,the process of stratosphere-troposphere exchange significantly affects the concentration and spatial distribution of chemical constituents in the upper troposphere and lower ...During the Asian summer monsoon(ASM)season,the process of stratosphere-troposphere exchange significantly affects the concentration and spatial distribution of chemical constituents in the upper troposphere and lower stratosphere(UTLS).However,the effect of the intensity of the Asian summer monsoon anticyclone(ASMA)on the horizontal distribution of chemical species within and around the ASMA,especially on the daily time scale,remains unclear.Here,the authors use the MERRA-2 reanalysis dataset and Aura Microwave Limb Sounder observations to study the impact of ASMA intensity on chemical distributions at 100 hPa during the ASM season.The intraseasonal variation of ASMA is classified into a strong period(SP)and weak period(WP),which refer to the periods when the intensity of ASMA remains strong and weak,respectively.The relatively low ozone(O_(3))region is found to be larger at 100 hPa during SPs,while its mixing ratio is lower than during WPs in summer.In June,analysis shows that the O_(3) horizontal distribution is mainly related to the intensity of AMSA,especially during SPs in June,while deep convections also impact the O_(3) horizontal distribution in July and August.These results indicate that the intraseasonal variation of the ASMA intensity coupled to deep convection can significantly affect the chemical distribution in the UTLS region during the ASM season.展开更多
Electrochemical carbon dioxide(CO_(2))reduction(ECR)is a promising technology to produce valuable fuels and feedstocks from CO_(2).Despite large efforts to develop ECR catalysts,the investigation of the catalytic perf...Electrochemical carbon dioxide(CO_(2))reduction(ECR)is a promising technology to produce valuable fuels and feedstocks from CO_(2).Despite large efforts to develop ECR catalysts,the investigation of the catalytic performance and electrochemical behavior of complex metal oxides,especially perovskite oxides,is rarely reported.Here,the inorganic perovskite oxide Ag-doped(La_(0.8)Sr_(0.2))_(0.95)Ag_(0.05)MnO_(3-δ)(LSA0.05M)is reported as an efficient electrocatalyst for ECR to CO for the first time,which exhibits a Faradaic efficiency(FE)of 84.3%,a remarkable mass activity of 75Ag^(-1)(normalized to the mass of Ag),and stability of 130 h at a moderate overpotential of 0.79 V.The LSA0.05M catalyst experiences structure reconstruction during ECR,creating the in operando-formed interface between the perovskite and the evolved Ag phase.The evolved Ag is uniformly distributed with a small particle size on the perovskite surface.Theoretical calculations indicate the reconstruction of LSA0.05M during ECR and reveal that the perovskite-Ag interface provides adsorption sites for CO_(2) and accelerates the desorption of the*CO intermediate to enhance ECR.This study presents a novel high-performance perovskite catalyst for ECR andmay inspire the future design of electrocatalysts via the in operando formation of metal-metal oxide interfaces.展开更多
Background:Myxomas are the most common primary cardiac tumors.Angiographically detectable neovascularity(ADN)of myxoma is increasingly being reported as a result of the use of coronary angiography(CAG)to detect corona...Background:Myxomas are the most common primary cardiac tumors.Angiographically detectable neovascularity(ADN)of myxoma is increasingly being reported as a result of the use of coronary angiography(CAG)to detect coronary artery disease.However,the clinical signifi cance of these fi ndings is not fully understood.Methods:We enrolled 59 patients with cardiac myxoma who also underwent CAG between January 2013 and October 2018.Patients were followed up for a mean of 28.9 months(range 1-69 months).The clinical features,echocardiography measurements,pathological examination fi ndings,CAG results,and outcomes during follow-up were compared between patients with ADN and patients without ADN.Results:ADN was found in 25 patients(42.4%).The arteries feeding the ADN included the right coronary artery(n=15),the left circumfl ex coronary artery(n=7),and both arteries(n=3).The patients with ADN had a higher proportion of eosinophils(3.2%vs.2.2%,P=0.03)and higher low-density lipoprotein cholesterol level(2.7 mmol/L vs.2.2 mmol/L,P=0.02).Myxoma pedicles were more likely to be located in the interatrial septum in patients with ADN(96%vs.73.5%,P=0.02).No signifi cant correlation was observed between the groups in clinical manifestations,atrial arrhythmia,myxoma size,cardiac chamber size,left ventricular ejection fraction,and the prevalence of complication with coronary artery disease[16%in the ADN group(n=4)vs.20.6%in the non-ADN group(n=7),P=0.66].However,patients with ADN tended to have a lower incidence of major adverse cardiac and cerebrovascular events on long-term follow-up(0%vs.14.7%,P=0.07).Conclusion:CAG-detected ADN in patients with cardiac myxoma is associated with a borderline lower rate of major adverse cardiac and cerebrovascular events.展开更多
The nucleus accumbens(NAc)plays an important role in various emotional and motivational behaviors that rely on heightened wakefulness.However,the neural mechanisms underlying the relationship between arousal and emoti...The nucleus accumbens(NAc)plays an important role in various emotional and motivational behaviors that rely on heightened wakefulness.However,the neural mechanisms underlying the relationship between arousal and emotion regulation in NAc remain unclear.Here,we investigated the roles of a specific subset of inhibitory corticotropin-releasing hormone neurons in the NAc(NAcCRH)in regulating arousal and emotional behaviors in mice.We found an increased activity of NAcCRH neurons during wakefulness and rewarding stimulation.Activation of NAcCRH neurons converts NREM or REM sleep to wakefulness,while inhibition of these neurons attenuates wakefulness.Remarkably,activation of NAcCRH neurons induces a place preference response(PPR)and decreased basal anxiety level,whereas their inactivation induces a place aversion response and anxious state.NAcCRH neurons are identified as the major NAc projection neurons to the bed nucleus of the stria terminalis(BNST).Furthermore,activation of the NAcCRH-BNST pathway similarly induced wakefulness and positive emotional behaviors.Taken together,we identified a basal forebrain CRH pathway that promotes the arousal associated with positive affective states.展开更多
基金the financial support by the National Nat-ural Science Foundation of China(Nos.52201282,52071281,52371239)the China Postdoctoral Science Foundation(No.2023M742945)+4 种基金Hebei Provincial Postdoctoral Science Foundation(No.B2023003023)the Science Research Project of Hebei Education Department(No.BJK2022033)the Natural Science Foundation of Hebei Province(No.C2022203003)the Inner Mongolia Science and Technology Major Project(No.2020ZD0012)the Baotou Science and Technology Planning Project(No.XM2022BT09).
文摘La-Mg-Ni-based hydrogen storage alloys with superlattice structures are the new generation anode material for nickel metal hydride(Ni-MH)batteries owing to the advantages of high capacity and exceptional activation properties.However,the cycling stability is not currently satisfactory enough which plagues its application.Herein,a strategy of partially substituting La with the Y element is proposed to boost the capacity durability of La-Mg-Ni-based alloys.Furthermore,phase structure regulation is implemented simultaneously to obtain the A5 B19-type alloy with good crystal stability specifically.It is found that Y promotes the phase formation of the Pr5 Co19-type phase after annealing at 985℃.The alloy containing Y contributes to the superior rate capability resulting from the promoted hydrogen diffusion rate.Notably,Y substitution enables strengthening the anti-pulverization ability of the alloy in terms of increasing the volume match between[A_(2)B_(4)]and[AB5]subunits,and effectively enhances the anti-corrosion ability of the alloy due to high electronegativity,realizing improved long-term cycling stability of the alloy from 74.2%to 78.5%after cycling 300 times.The work is expected to shed light on the composition and structure design of the La-Mg-Ni-based hydrogen storage alloy for Ni-MH batteries.
文摘Objective: To measure the hospital operation efficiency, study the correlation between average length of stay and hospital operation efficiency, analyze the importance of shortening average length of stay to the improvement of the hospital operation efficiency and put forward relevant policy suggestion. Methods: Based on China provincial panel data from 2003 to 2012, the hospital operation efficiencies are calculated using Super Efficiency Data Envelopment Analysis model, and the correlation between average length of stay and hospital operation efficiency is tested using Spearman rank correlation coefficient test. Results: From 2003 to 2012, the average of national hospital operation efficiency was increasing slowly and the hospital operations were inefficient in most of the areas. The national hospital operation efficiency is negatively correlated to the average length of stay. Conclusion: Measures should be taken to set average length of stay in a scientific and reasonable way, improve social and economic benefits based on the improvement of efficiency.
基金supported by the National Natural Science Foundation of China(Grant Nos.42005003 and 41475094)National Key R&D Program of China(Grant No.2018YFC1506704).
文摘With the growing demand for high-precision flow field simulations in computational science and engineering,the super-resolution reconstruction of physical fields has attracted considerable research interest.However,tradi-tional numerical methods often entail high computational costs,involve complex data processing,and struggle to capture fine-scale high-frequency details.To address these challenges,we propose an innovative super-resolution reconstruction framework that integrates a Fourier neural operator(FNO)with an enhanced diffusion model.The framework employs an adaptively weighted FNO to process low-resolution flow field inputs,effectively capturing global dependencies and high-frequency features.Furthermore,a residual-guided diffusion model is introduced to further improve reconstruction performance.This model uses a Markov chain for noise injection in phys-ical fields and integrates a reverse denoising procedure,efficiently solved by an adaptive time-step ordinary differential equation solver,thereby ensuring both stability and computational efficiency.Experimental results demonstrate that the proposed framework significantly outperforms existing methods in terms of accuracy and efficiency,offering a promising solution for fine-grained data reconstruction in scientific simulations.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.42005003 and 41475094)。
文摘Nonlinear science is a fundamental area of physics research that investigates complex dynamical systems which are often characterized by high sensitivity and nonlinear behaviors.Numerical simulations play a pivotal role in nonlinear science,serving as a critical tool for revealing the underlying principles governing these systems.In addition,they play a crucial role in accelerating progress across various fields,such as climate modeling,weather forecasting,and fluid dynamics.However,their high computational cost limits their application in high-precision or long-duration simulations.In this study,we propose a novel data-driven approach for simulating complex physical systems,particularly turbulent phenomena.Specifically,we develop an efficient surrogate model based on the wavelet neural operator(WNO).Experimental results demonstrate that the enhanced WNO model can accurately simulate small-scale turbulent flows while using lower computational costs.In simulations of complex physical fields,the improved WNO model outperforms established deep learning models,such as U-Net,Res Net,and the Fourier neural operator(FNO),in terms of accuracy.Notably,the improved WNO model exhibits exceptional generalization capabilities,maintaining stable performance across a wide range of initial conditions and high-resolution scenarios without retraining.This study highlights the significant potential of the enhanced WNO model for simulating complex physical systems,providing strong evidence to support the development of more efficient,scalable,and high-precision simulation techniques.
基金financially supported by the National Key R&D Program of China(No.2019YFA0708203)the National Natural Science Foundation of China(No.61974139)the Beijing Natural Science Foundation(No.4182063)。
文摘With recent developments of deep ultraviolet(DUV)light-emitting diodes and solar-blind detectors,UV communication(UVC)shows great potential in replacing traditional wireless communication in more and more scenarios.Based on the atmospheric scattering of UV radiation,UVC has gained considerable attention due to its non-line-of-sight ability,omnidirectional communication links and low background noise.These advantages make UVC an ideal option for covert secure communication,especially for military communication.In this review,we present the history and working principle of UVC with a special focus on its light sources and detectors.Comprehensive comparison and application of its light sources and detectors are provided to the best of our knowledge.We further discuss the future application and outlook of UVC.Hopefully,this review will offer valuable insights into the future development of UVC.
基金supported by the National Natural Science Founda-tion of China(22038006,2192100621922805)the Topnotch Academic Programs Project of Jiangsu Higher Education Institu-tions(TAPP).
文摘Two-dimensional material membranes with fast transport channels and versatile chemical functionality are promising for molecular separation.Herein,for the first time,we reported design and engineering of two-dimensional Ti_(3)C_(2)Tx MXene(called transition metal carbides and nitrides)membranes supported on asymmetric polymeric hollow fiber substrate for water desalination.The membrane morphology,physicochemical properties and ions exclusion performance were systematically investigated.The results demonstrated that surface hydrophilicity and electrostatic repulsion and size sieving effect of interlayer channels synergistically endowed the MXene hollow fiber membrane with fast water permeation and efficient rejection of divalent ions during nanofiltration process.
基金supported by the Second Tibetan Plateau Scientific Expedition and Research(STEP)program(Grant No.2019QZKK0307)the China National Social Science Funding of Major Projects(Grant No.18VSJ100)National Natural Science Foundation of China(Grant No.41925005).
文摘Payments for Ecosystem Services(PES)have been studied extensively over the past decade as an important policy tool for coordinating ecological protection and regional socioeconomic development.One of the greatest challenges of PES implementation is to understand where to pay,i.e.,spatial targeting,which can directly impact PES effectiveness and efficiency.In this study,we conducted a systematic review of spatial targeting methods based on literature analysis using Citespace.Firstly,peer-reviewed articles related to spatial targeting of PES were selected from the Web of Science database based on keywords.Cases applying PES spatial targeting methods were then chosen and analyzed after all articles were read.In total,70%of the chosen cases focused on improving the compensation efficiency of biodiversity or another single environmental objective,whereas the remaining cases focused on coordinating trade-offs between equity and efficiency or multiple environmental objectives.The main PES spatial targeting approaches included cost-benefit analysis,multi-objective optimization,data envelope analysis and other methods aimed at specific issues.Of these,cost-benefit analysis has been most widely applied at different scales,including county,regional and watershed scales.Significant differences among the different PES spatial targeting methods were found,including in PES spatial targeting dimensions,efficiency optimization approaches and method application conditions.The practice of PES spatial targeting requires the selection of appropriate methods based on contextual biophysical and socioeconomic conditions as well as relevant environmental issues.The combined application of PES spatial targeting methods,compensation willingness of stakeholders and dynamic implementation of PES spatial targeting should be considered in future research.
基金National Natural Science Foundation of China project 81600248(to Z.Zhu)Hunan Provincial Natural Science Foundation of China project 2018JJ3744(to Z.Zhu).
文摘Percutaneous coronary intervention is a well-established technique used to treat coronary artery disease,but the risk of coronary artery in-stent restenosis following percutaneous coronary intervention is still high.Previous studies revealed that high mobility group protein B1(HMGB1)plays a critical role in neointima formation.In this study,we aimed to investigate the role of glycyrrhizic acid(GA),an HMGB1 inhibitor,in the process of neointima formation and the potential mechanisms.We investigated the role of GA in neointima formation through an iliac artery balloon injury model in rabbits.Proliferation,migration,and phenotype transformation of human vascular smooth muscle cells(VSMCs)were observed.Besides,infl ammation and receptor for advanced glycosylation end products(RAGE)signaling pathways were studied.The results indicate that GA attenuated neointima formation and downregulated HMGB1 expression in injured artery in rabbits.HMGB1 promoted proliferation,migration,and phenotype transformation through the activation of RAGE signaling pathways in VSMCs,and blockade of HMGB1 by GA(1,10,and 100μM)could attenuate those processes and reduce proliferation of human VSMCs.In conclusion,the HMGB1 inhibitor GA might be useful to treat proliferative vascular diseases by downregulating RAGE signaling pathways.Our results indicate a new and promising therapeutic agent for restenosis.
基金supported by the National Key R&D Program of China (No. 2016YFB0400800)the National Natural Sciences Foundation of China (Grant Nos. 61875187, 61527814, 61674147, U1505253)+1 种基金Beijing Nova Program Z181100006218 007Youth Innovation Promotion Association CAS 2017157
文摘This study focused on the evolution of growth front about AlN growth on nano-patterned sapphire substrate by metal-organic chemical vapor deposition.The substrate with concave cones was fabricated by nano-imprint lithography and wet etching.Two samples with different epitaxy procedures were fabricated,manifesting as two-dimensional growth mode and three-dimensional growth mode,respectively.The results showed that growth temperature deeply influenced the growth modes and thus played a critical role in the coalescence of AlN.At a relatively high temperature,the AlN epilayer was progressively coalescence and the growth mode was two-dimensional.In this case,we found that the inclined semi-polar facets arising in the process of coalescence were{112^-1}type.But when decreasing the temperature,the{112^-2}semi-polar facets arose,leading to inverse pyramid morphology and obtaining the three-dimensional growth mode.The 3 D inverse pyramid AlN structure could be used for realizing 3 D semi-polar UV-LED or facet-controlled epitaxial lateral overgrowth of AlN.
基金support by the National Natural Science Foundation of China(Grant no.21373042)
文摘One of the major challenges associated with fuel cells is the design of highly efficient electrocatalysts to reduce the high overpotential of the oxygen reduction reaction (ORR). Here we report Polyaniline (PANI) based micro/nanomaterials with or without transition metals, prepared by the emulsion polymerization and subsequent heat treatment. PANI microspheres with the diameter of about 0.7 mu m have been prepared in basic (NH3 solution) condition, using two different types of surfactant (CTAB, SDS) as the stabilizer, ammonium persulphate (APS) as oxidant with aniline/surfactants molar ratio at 1/1 under the hydrothermal treatment. PANI nanorods, Fe-PANI, and Fe-Co-PANI have been synthesized in acidic (HCI) medium with aniline/surfactants molar ratio at 1/2 and polymerization carried out without stirring for 24 h. Products mainly Fe-Co-PANI have shown high current density with increasing sweep rate and excellent specific capacitance 1753 F/g at the scan rate of 1 mV/s. Additionally, it has shown high thermal stability by thermogravimetric analysis (TGA). Fe-PANI has been investigated for excellent performance toward ORR with four electron selectivity in the basic electrolyte. The PANI-based catalysts from emulsion polymerization demonstrate that the method is valuable for making non-precious metal heterogeneous electrocatalysts for ORR or energy storage and conversion technology. (C) 2016 Science Press and Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by Elsevier B.V. and Science Press. All rights reserved.
基金supported by the National Natural Science Foundation of China (NSFC-32201712,32470328)the Science and Technology Innovation Program of Hunan Province (2021JJ10015,2023JJ10025)the National Key Research and Development Program of China (2023YFD1401100).
文摘Receptor kinases play a pivotal role in detecting environmental signals,and consequently,gene pleiotropy is frequently observed within this family.However,the trade-off in trait expression resulting from gene pleiotropy poses a constraint on the utilization of such genes in agricultural breeding.In this study,we identified the receptor kinase gene FERONIA-Like Receptor 13(FLR13)as a pleiotropic gene influencing plant height,tillering,grain yield,and disease resistance.Using promoter editing,we generated novel alleles(FLR13T5T6-1,FLR13T5T6-2)that confer resistance to rice blast and increase per-plant yield.The knockout of the T5T6 segment alleviates the inhibitory effects of two transcription factors,OsGBP1 and OsWRKY53,on FLR13 expression.In summary,our study presents a promising avenue for enhancing the pivotal attributes of receptor-like kinases through a promoter-editing strategy.
基金This work was supported by the National Key R&D Program of China(Nos.2016YFB0400800 and 2017YFB0404202)the National Natural Sciences Foundation of China(Grant Nos.61527814,61674147,61904176,U1505253)+1 种基金Beijing Nova Program Z181100006218007Youth Innovation Promotion Association CAS 2017157.
文摘High-quality AlN/sapphire templates were fabricated by the combination of sputtering and high-temperature(HT)annealing.The influence of sputtering parameters including nitrogen flux,radio frequency power,and substrate temperature on the crystalline quality and surface morphology of annealed AlN films were investigated.With lower substrate temperature,lower power,and lower N2 flux,the full width at half maximum of the X-ray rocking curve for AlN(0002)and(102)were improved to 97.2 and 259.2 arcsec after high-temperature annealing.This happens because the increased vacancy concentration of sputtered AlN films can facilitate the annihilation of dislocations by increasing the recovery rate during HT annealing.Step and step-bunching morphologies were clearly observed with optimized sputtering conditions.
文摘Partial differential equations(PDEs)are important tools for scientific research and are widely used in various fields.However,it is usually very difficult to obtain accurate analytical solutions of PDEs,and numerical methods to solve PDEs are often computationally intensive and very time-consuming.In recent years,Physics Informed Neural Networks(PINNs)have been successfully applied to find numerical solutions of PDEs and have shown great potential.All the while,solitary waves have been of great interest to researchers in the field of nonlinear science.In this paper,we perform numerical simulations of solitary wave solutions of several PDEs using improved PINNs.The improved PINNs not only incorporate constraints on the control equations to ensure the interpretability of the prediction results,which is important for physical field simulations,in addition,an adaptive activation function is introduced.By introducing hyperparameters in the activation function to change the slope of the activation function to avoid the disappearance of the gradient,computing time is saved thereby speeding up training.In this paper,the m Kd V equation,the improved Boussinesq equation,the Caudrey–Dodd–Gibbon–Sawada–Kotera equation and the p-g BKP equation are selected for study,and the errors of the simulation results are analyzed to assess the accuracy of the predicted solitary wave solution.The experimental results show that the improved PINNs are significantly better than the traditional PINNs with shorter training time but more accurate prediction results.The improved PINNs improve the training speed by more than 1.5 times compared with the traditional PINNs,while maintaining the prediction error less than 10~(-2)in this order of magnitude.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.42005003 and 41475094).
文摘Efficiently solving partial differential equations(PDEs)is a long-standing challenge in mathematics and physics research.In recent years,the rapid development of artificial intelligence technology has brought deep learning-based methods to the forefront of research on numerical methods for partial differential equations.Among them,physics-informed neural networks(PINNs)are a new class of deep learning methods that show great potential in solving PDEs and predicting complex physical phenomena.In the field of nonlinear science,solitary waves and rogue waves have been important research topics.In this paper,we propose an improved PINN that enhances the physical constraints of the neural network model by adding gradient information constraints.In addition,we employ meta-learning optimization to speed up the training process.We apply the improved PINNs to the numerical simulation and prediction of solitary and rogue waves.We evaluate the accuracy of the prediction results by error analysis.The experimental results show that the improved PINNs can make more accurate predictions in less time than that of the original PINNs.
基金funded by the National Natural Science Foundation of China(Grant Nos.82071695 and 81772907 to DW and No.82060535 to YT)the Fundamental Research Funds for the Central Universities(Grant lzujbky-2017-k12 to DW).
文摘Various factors can induce cell degeneration by altering the phenotype and metabolism of cells.Mitochondria play an essential role in cellular homeostasis and function,rendering aging processes highly associated with mitochondrial function and status.Herein,we describe an aging-prone phenotype of murine skin cells caused by depletion of Rad6B(Ube2b),an E2 ubiquitin-conjugating enzyme.In this study,using Masson’s trichrome,we showed that loss of Rad6B causes physiological structure changes in mouse skin with age.In addition,a combination of western blotting experiments,transmission electron microscopy and employment of immunofluorescence staining revealed that depletion of Rad6B was characterized by an abnormal mitochondrial metabolic profile,including decreased mitochondrial biosynthesis and mitochondrial complex activities,increased ROS production and suppressed mitophagy resulting in metabolic disorders.Taken together,these results highlight an important relationship between Rad6B and skin senescence,suggesting that Rad6B plays an indispensable role in maintaining a healthy mitochondrial network and intracellular homeostasis.
基金sponsored by Strategic Priority Research Program of the Chinese Academy of Science[grant No.XDA17010106]the National Key Research and Development Program of China[grant Nos.2018YFC1505703 and 2018YFC1506704].
文摘During the Asian summer monsoon(ASM)season,the process of stratosphere-troposphere exchange significantly affects the concentration and spatial distribution of chemical constituents in the upper troposphere and lower stratosphere(UTLS).However,the effect of the intensity of the Asian summer monsoon anticyclone(ASMA)on the horizontal distribution of chemical species within and around the ASMA,especially on the daily time scale,remains unclear.Here,the authors use the MERRA-2 reanalysis dataset and Aura Microwave Limb Sounder observations to study the impact of ASMA intensity on chemical distributions at 100 hPa during the ASM season.The intraseasonal variation of ASMA is classified into a strong period(SP)and weak period(WP),which refer to the periods when the intensity of ASMA remains strong and weak,respectively.The relatively low ozone(O_(3))region is found to be larger at 100 hPa during SPs,while its mixing ratio is lower than during WPs in summer.In June,analysis shows that the O_(3) horizontal distribution is mainly related to the intensity of AMSA,especially during SPs in June,while deep convections also impact the O_(3) horizontal distribution in July and August.These results indicate that the intraseasonal variation of the ASMA intensity coupled to deep convection can significantly affect the chemical distribution in the UTLS region during the ASM season.
基金Australian Centre for Neutron ScatteringAustralian Nuclear Science and Technology Organisation,Grant/Award Number:MI8046+1 种基金Max Planck-POSTECH-Hsinchu Center for Complex Phase MaterialsHigh-Performance Computing Center of Nanjing Tech University。
文摘Electrochemical carbon dioxide(CO_(2))reduction(ECR)is a promising technology to produce valuable fuels and feedstocks from CO_(2).Despite large efforts to develop ECR catalysts,the investigation of the catalytic performance and electrochemical behavior of complex metal oxides,especially perovskite oxides,is rarely reported.Here,the inorganic perovskite oxide Ag-doped(La_(0.8)Sr_(0.2))_(0.95)Ag_(0.05)MnO_(3-δ)(LSA0.05M)is reported as an efficient electrocatalyst for ECR to CO for the first time,which exhibits a Faradaic efficiency(FE)of 84.3%,a remarkable mass activity of 75Ag^(-1)(normalized to the mass of Ag),and stability of 130 h at a moderate overpotential of 0.79 V.The LSA0.05M catalyst experiences structure reconstruction during ECR,creating the in operando-formed interface between the perovskite and the evolved Ag phase.The evolved Ag is uniformly distributed with a small particle size on the perovskite surface.Theoretical calculations indicate the reconstruction of LSA0.05M during ECR and reveal that the perovskite-Ag interface provides adsorption sites for CO_(2) and accelerates the desorption of the*CO intermediate to enhance ECR.This study presents a novel high-performance perovskite catalyst for ECR andmay inspire the future design of electrocatalysts via the in operando formation of metal-metal oxide interfaces.
文摘Background:Myxomas are the most common primary cardiac tumors.Angiographically detectable neovascularity(ADN)of myxoma is increasingly being reported as a result of the use of coronary angiography(CAG)to detect coronary artery disease.However,the clinical signifi cance of these fi ndings is not fully understood.Methods:We enrolled 59 patients with cardiac myxoma who also underwent CAG between January 2013 and October 2018.Patients were followed up for a mean of 28.9 months(range 1-69 months).The clinical features,echocardiography measurements,pathological examination fi ndings,CAG results,and outcomes during follow-up were compared between patients with ADN and patients without ADN.Results:ADN was found in 25 patients(42.4%).The arteries feeding the ADN included the right coronary artery(n=15),the left circumfl ex coronary artery(n=7),and both arteries(n=3).The patients with ADN had a higher proportion of eosinophils(3.2%vs.2.2%,P=0.03)and higher low-density lipoprotein cholesterol level(2.7 mmol/L vs.2.2 mmol/L,P=0.02).Myxoma pedicles were more likely to be located in the interatrial septum in patients with ADN(96%vs.73.5%,P=0.02).No signifi cant correlation was observed between the groups in clinical manifestations,atrial arrhythmia,myxoma size,cardiac chamber size,left ventricular ejection fraction,and the prevalence of complication with coronary artery disease[16%in the ADN group(n=4)vs.20.6%in the non-ADN group(n=7),P=0.66].However,patients with ADN tended to have a lower incidence of major adverse cardiac and cerebrovascular events on long-term follow-up(0%vs.14.7%,P=0.07).Conclusion:CAG-detected ADN in patients with cardiac myxoma is associated with a borderline lower rate of major adverse cardiac and cerebrovascular events.
基金supported by grants from the National Natural Science Foundation of China(82090033,82288101,U20A6005,32200801,and 32200967)China Postdoctoral Science Foundation(2021M700851,2023T160117,and 2023M740708).
文摘The nucleus accumbens(NAc)plays an important role in various emotional and motivational behaviors that rely on heightened wakefulness.However,the neural mechanisms underlying the relationship between arousal and emotion regulation in NAc remain unclear.Here,we investigated the roles of a specific subset of inhibitory corticotropin-releasing hormone neurons in the NAc(NAcCRH)in regulating arousal and emotional behaviors in mice.We found an increased activity of NAcCRH neurons during wakefulness and rewarding stimulation.Activation of NAcCRH neurons converts NREM or REM sleep to wakefulness,while inhibition of these neurons attenuates wakefulness.Remarkably,activation of NAcCRH neurons induces a place preference response(PPR)and decreased basal anxiety level,whereas their inactivation induces a place aversion response and anxious state.NAcCRH neurons are identified as the major NAc projection neurons to the bed nucleus of the stria terminalis(BNST).Furthermore,activation of the NAcCRH-BNST pathway similarly induced wakefulness and positive emotional behaviors.Taken together,we identified a basal forebrain CRH pathway that promotes the arousal associated with positive affective states.
