Diabetic retinopathy(DR),a common complication of diabetes,is characterized by retinal angiogenesis and inflammation.The role of hepatoma-derived growth factor(HDGF)in mediating inflammation during DR remains unclear....Diabetic retinopathy(DR),a common complication of diabetes,is characterized by retinal angiogenesis and inflammation.The role of hepatoma-derived growth factor(HDGF)in mediating inflammation during DR remains unclear.We measured HDGF levels in the aqueous humor and found that HDGF was increased in DR but decreased after anti-angiogenesis treatment.Using public single-cell RNA sequencing datasets,we found that elevated HDGF in DR was mainly produced by Müller cells and targeted microglia.Additionally,integrin beta 2(Itgb2),a target gene of HDGF that induces microglial activation,was significantly upregulated in DR.To verify these results,we performed enzyme-linked immunosorbent assays,quantitative reverse transcription-PCR,Western blotting,and fluorescence immunostaining in cultured Müller and microglial cells treated with HDGF or anti-HDGF,as well as in DR mice receiving intravitreal injections of HDGF or its antibody.Exogenous HDGF further promoted microglial activation,migration,and secretion of pro-inflammatory cytokines,while neutralization of HDGF suppressed these effects caused by high glucose.Furthermore,the HDGF receptor nucleolin was overexpressed in microglia under high glucose stimulation.Therefore,blocking HDGF from Müller cells in DR reduced the excessive inflammatory response in microglia,highlighting HDGF as a potential therapeutic target.展开更多
Organic nanophotocatalysts are promising candidates for solar fuels production,but they still face the challenge of unfavorable geminate recombination due to the limited exciton diffusion lengths.Here,we introduce a b...Organic nanophotocatalysts are promising candidates for solar fuels production,but they still face the challenge of unfavorable geminate recombination due to the limited exciton diffusion lengths.Here,we introduce a binary nanophotocatalyst fabricated by blending two polymers,PS-PEG5(PS)and PBT-PEG5(PBT),with matched absorption and emission spectra,enabling a Forster resonance energy transfer(FRET)process for enhanced photocatalysis.These heterostructure nanophotocatalysts are processed using a facile and scalable flash nanoprecipitation(FNP)technique with precious kinetic control over binary nanoparticle formation.The resulting nanoparticles exhibit an exceptional photocatalytic hydrogen evolution rate up to 65 mmol g^(-1) h^(-1),2.5 times higher than that single component nanoparticles.Characterizations through fluorescence spectra and transient absorption spectra confirm the hetero-energy transfer within the binary nanoparticles,which prolongs the excited-state lifetime and extends the namely“effective exciton diffusion length”.Our finding opens new avenues for designing efficient organic photocatalysts by improving exciton migration.展开更多
<div style="text-align:justify;"> Peanut oil oxidation was to monitor and quantify combining synchronous fluorescence spectroscopy and chemometrics. Peanut oil was subjected to an accelerated oxidation...<div style="text-align:justify;"> Peanut oil oxidation was to monitor and quantify combining synchronous fluorescence spectroscopy and chemometrics. Peanut oil was subjected to an accelerated oxidation testing. The spectral and related chemical indicators were caught during oxidation induce testing. Fluorescence spectra were gained for each sample with simultaneous excitation from 200 to 800 nm and the offsets (Δλ) of 10 to 180 nm during the oxidation process. The results showed the induce period (IP) of the peanut oil was 16.45 h. Parallel factor analysis (PARAFAC) was performed to select the best Δλ interval of 70 nm, which spectral data was the most suitable for interval partial least square (iPLS) and synergy interval PLS (siPLS) modeling and forecast. The study presented all interval selection methods had the better results than the global spectrum modelling. iPLS reached the best into 10 intervals with a ratio of prediction to deviation (RPD) of 2.10. siPLS that separated the whole spectrum into 15 intervals and combined the third intervals (282 to 320 nm, 362 to 400 nm, and 761 to 800 nm) had a ratio of RPD of 2.26. The results showed the optimal siPLS model performed a little better than iPLS. The established model lying on interval selection could improve the prediction accuracy. It could provide a quick, accurate method to monitor oil oxidation process. </div>展开更多
Following the groundbreaking introduction of the Transformer architecture in 2017,the development of Large Language Models(LLMs)formally commenced.In May 2020,Chat GPT-3,with over one hundred billion parameters,entere...Following the groundbreaking introduction of the Transformer architecture in 2017,the development of Large Language Models(LLMs)formally commenced.In May 2020,Chat GPT-3,with over one hundred billion parameters,entered the public eye,marking a significant milestone in LLM advancement.展开更多
The high maneuverability of modern fighters in close air combat imposes significant cognitive demands on pilots,making rapid,accurate decision-making challenging.While reinforcement learning(RL)has shown promise in th...The high maneuverability of modern fighters in close air combat imposes significant cognitive demands on pilots,making rapid,accurate decision-making challenging.While reinforcement learning(RL)has shown promise in this domain,the existing methods often lack strategic depth and generalization in complex,high-dimensional environments.To address these limitations,this paper proposes an optimized self-play method enhanced by advancements in fighter modeling,neural network design,and algorithmic frameworks.This study employs a six-degree-of-freedom(6-DOF)F-16 fighter model based on open-source aerodynamic data,featuring airborne equipment and a realistic visual simulation platform,unlike traditional 3-DOF models.To capture temporal dynamics,Long Short-Term Memory(LSTM)layers are integrated into the neural network,complemented by delayed input stacking.The RL environment incorporates expert strategies,curiositydriven rewards,and curriculum learning to improve adaptability and strategic decision-making.Experimental results demonstrate that the proposed approach achieves a winning rate exceeding90%against classical single-agent methods.Additionally,through enhanced 3D visual platforms,we conducted human-agent confrontation experiments,where the agent attained an average winning rate of over 75%.The agent's maneuver trajectories closely align with human pilot strategies,showcasing its potential in decision-making and pilot training applications.This study highlights the effectiveness of integrating advanced modeling and self-play techniques in developing robust air combat decision-making systems.展开更多
The skin wound is susceptible to bacterial invasion,which hinders the healing of the wound,especially when infected with multi-drug resistant strains.This demands novel bioactive materials to combat bacterial infectio...The skin wound is susceptible to bacterial invasion,which hinders the healing of the wound,especially when infected with multi-drug resistant strains.This demands novel bioactive materials to combat bacterial infections.In this study,gallium oxide nanoparticles(Ga_(2)O_(3)NPs)were successfully synthesized through high-temperature thermal decomposition,exhibiting excellent biocompatibility and photocatalytic antimicrobial activity.The Ga_(2)O_(3)NPs were crosslinked into chitosan hydrogel to create a light-responsive multilayered 3D porous hydrogel(Ga_(2)O_(3)NPs hydrogel)for use in photocatalytic antimicrobial therapy(PCAT).The prepared Ga_(2)O_(3)NPs hydrogel exhibits broad-spectrum photocatalytic activity and remarkable antibacterial efficacy against E.coli and S.aureus.It effectively eradicates biofilms,promotes reactive oxygen species production,disrupts bacterial cell membranes,and induces nucleic acid leakage,ultimately resulting in bacterial death.Additionally,it exhibits excellent biosafety.Both in vitro pigskin and in vivo mouse wound infection models have confirmed the remarkable efficacy of Ga_(2)O_(3)NPs hydrogel in PCAT.Notably,Ga_(2)O_(3)NPs hydrogel created a moist environment for the wound in an MDR S.aureus-infected mouse wound model,demonstrating significant potential to facilitate wound healing and minimize scar formation.This study introduces a novel hydrogel dressing without antibiotic components for resistant bacterial-infected wounds.展开更多
Physics-informed neural networks(PINNs)have shown remarkable prospects in solving the forward and inverse problems involving partial differential equations(PDEs).The method embeds PDEs into the neural network by calcu...Physics-informed neural networks(PINNs)have shown remarkable prospects in solving the forward and inverse problems involving partial differential equations(PDEs).The method embeds PDEs into the neural network by calculating the PDE loss at a set of collocation points,providing advantages such as meshfree and more convenient adaptive sampling.However,when solving PDEs using nonuniform collocation points,PINNs still face challenge regarding inefficient convergence of PDE residuals or even failure.In this work,we first analyze the ill-conditioning of the PDE loss in PINNs under nonuniform collocation points.To address the issue,we define volume weighting residual and propose volume weighting physics-informed neural networks(VW-PINNs).Through weighting the PDE residuals by the volume that the collocation points occupy within the computational domain,we embed explicitly the distribution characteristics of collocation points in the loss evaluation.The fast and sufficient convergence of the PDE residuals for the problems involving nonuniform collocation points is guaranteed.Considering the meshfree characteristics of VW-PINNs,we also develop a volume approximation algorithm based on kernel density estimation to calculate the volume of the collocation points.We validate the universality of VW-PINNs by solving the forward problems involving flow over a circular cylinder and flow over the NACA0012 airfoil under different inflow conditions,where conventional PINNs fail.By solving the Burgers’equation,we verify that VW-PINNs can enhance the efficiency of existing the adaptive sampling method in solving the forward problem by three times,and can reduce the relative L 2 error of conventional PINNs in solving the inverse problem by more than one order of magnitude.展开更多
Developing an industrially relevant electrode with high catalytic activity,stability,and tunable composition/size for large-scale water electrolysis is a significant challenge.We have created an integrated elec-trode(...Developing an industrially relevant electrode with high catalytic activity,stability,and tunable composition/size for large-scale water electrolysis is a significant challenge.We have created an integrated elec-trode(NFM30-N)for the oxygen evolution reaction(OER)using a facile top-down approach that combines arc melting with dealloying-oxidation.Due to the dealloying-oxidation effect,the asderived porous amorphous M-O,M-OH,and M-OOH(M=Ni,Fe)nanocones cover the basic NiFeMn alloy.This integrated design enables NFM30-N to exhibit outstanding OER performance at high current densities,requiring low overpotentials of only 282 and 323 mV to achieve large current densities of 100 and 500 mA cm^(-2),respectively.It also displays a small Tafel slope of 44.1 mV dec^(-1) and remarkable stability for over 100 h at 100 and 500 mA cm^(-2).When used as an anode,a two-electrode electrolyzer cell with NFM30-N at 500 mA cm^(-2) only requires a cell voltage of 1.619 V and exhibits excellent stability,with almost no performance degradation after continuous chronopotentiometry test for each 100 h at 500 and 100 mA cm^(-2).This exceptional OER electrocatalytic performance is attributed to the integrated structure providing high electrical conductivity and stability,the presence of numerous active sites due to dealloying and the amorphous structure,and the promotion of the OER process by M-O,M-OH,and M-OOH species.This work offers a novel idea for fabricating integrated,industrially relevant electrocatalytic electrodes through traditional metallurgy combined with dealloying-oxidation.展开更多
Ship emissions contribute considerably to air pollution and are expected to decline under domestic policies and international cooperation such as green shipping corridors(GSCs).However,evaluation of the emission reduc...Ship emissions contribute considerably to air pollution and are expected to decline under domestic policies and international cooperation such as green shipping corridors(GSCs).However,evaluation of the emission reduction potential by the Domestic Emission Control Area(DECA)policy and GSC cooperation is still lacking.Here,a series of multi-year high spatiotemporal ship emission inventories around Hainan,a representative island province of China,were developed with the state-of-the-art Shipping Emission Inventory Model.The improved origin-destination identification algorithm allowed emission allocation to port level.The emission reduction potential of the DECA policy and Hainan's joining GSCwas analyzed.In 2022,ship emission intensity in waters 12 Nm from Hainan(Hainan-12Nm)were 6.4%-7.4% of that in waters 12 Nm from China.From 2019 to 2022,Hainan-12Nm emissions dropped by 66.7%-77.8% for SO_(2) and PM2.5.Ideally,with adequate ultra-low-sulfur fuel,DECA can reduce SO_(2) and PM2.5 emissions by 16.6% and 22.4% yearly compared with no-DECA scenario.However,emission reduction would drop markedly if ultra-low-sulfur fuel is short in supply.Emissions of voyages passing through 200 Nm from Hainan took up 1%-4%of international shipping emissions,implying great emission reduction potential for Hainan's establishing GSCs,especially considering the flourishing South-South trade.This study provides a thorough assessment of the current state of shipping emissions around Hainan as well as offers excellent data support for Hainan to further advance the future upgrade of ship emission management policies.展开更多
Numerical simulation is dominant in solving partial differential equations(PDEs),but balancing fine-grained grids with low computational costs is challenging.Recently,solving PDEs with neural networks(NNs)has gained i...Numerical simulation is dominant in solving partial differential equations(PDEs),but balancing fine-grained grids with low computational costs is challenging.Recently,solving PDEs with neural networks(NNs)has gained interest,yet cost-effectiveness and high accuracy remain a challenge.This work introduces a novel paradigm for solving PDEs,called multi-scale neural computing(MSNC),considering spectral bias of NNs and local approximation properties in the finite difference method(FDM).The MSNC decomposes the solution with a NN for efficient capture of global scale and the FDM for detailed description of local scale,aiming to balance costs and accuracy.Demonstrated advantages include higher accuracy(10 times for 1D PDEs,20 times for 2D PDEs)and lower costs(4 times for 1D PDEs,16 times for 2D PDEs)than the standard FDM.The MSNC also exhibits stable convergence and rigorous boundary condition satisfaction,showcasing the potential for hybrid of NN and numerical method.展开更多
Anion exchange membrane fuel cells(AEMFCs)are considered a more affordable technology compared to proton exchange membrane fuel cells(PEMFCs),but the performance and durability of AEMFCs are still not competent with P...Anion exchange membrane fuel cells(AEMFCs)are considered a more affordable technology compared to proton exchange membrane fuel cells(PEMFCs),but the performance and durability of AEMFCs are still not competent with PEMFCs owing to the more challenging water management,which severely hinders its development and real-life applications.In this study,we introduce the strategy to boost the performance and stability of the membrane electrode assembly(MEA)of AEMFCs by regulating the hydrophilicity of the anode and cathode ionomers.Two poly(biphenyl alkylene)ionomers with different hydrophilicity are synthesized and used to fabricate MEAs with asymmetric or symmetric ionomer configurations in the anodic and cathodic catalyst layers(CLs)for AEMFCs.Molecular dynamics(MD)simulations have revealed different diffusion rates of water in the hydrophobic anode and the hydrophilic cathode,which show the potential of this design to improve water management in AEMFCs,The effectiveness of this design is also confirmed by experimental results that the MEA with this asymmetric configuration exhibits the highest power and current densities of 1.58 W cm^(-2)or 5.58 A cm^(-2),respectively,among all configurations.Furthermore,this configuration also enhances the durability,with the MEA showing a voltage decay rate of only 313.1μV h^(-1)after 500 h of in-situ durability test at 0.2 A cm^(-2).This study provides new insights into the rational design of more efficient water management in MEA for high-performance AEMFCs.展开更多
Recently,more and more bacteria have been reported to become tolerant to antibiotics.In this study,one tnaA gene involved in indole production,and the effect of exogenous indole on the formation of persister cells spe...Recently,more and more bacteria have been reported to become tolerant to antibiotics.In this study,one tnaA gene involved in indole production,and the effect of exogenous indole on the formation of persister cells specific to tetracycline in Vibrio splendidus were characterized.The tnaA Vs gene was first cloned and conditionally expressed in Escherichia coli Rosetta(DE3).To investigate the regulatory effect of TnaA Vs,the tnaA deletion strain AJ01/ΔtnaA was constructed by in-frame deletion.The undetected extracellular indole in the AJ01/ΔtnaA indicated that TnaA was the solo enzyme to produce indole in V.splendidus.The drop plate method showed that AJ01/ΔtnaA was more tolerant to the higher concentration of tetracycline than that of AJ01,being 340-fold higher in the proportion of survived cells when cell density OD 600≈0.65.Moreover,the synergistic effects of indole and tetracycline on killing of V.splendidus were determined.Results show that addition of 2-mmol/L indole increased the susceptibility of both AJ01 and AJ01/ΔtnaA to 10×minimum inhibitory concentration tetracycline.To explore the genes and pathways regulated by TnaA Vs,the transcriptomic analysis between AJ01 and AJ01/ΔtnaA was performed.Result shows that TCA cycle,arginine biosynthesis,quorum sensing and microbial metabolism in diverse environments were downregulated,while the ribosome pathways,the protein metabolic process,peptide biosynthetic and metabolic process were upregulated in the AJ01/ΔtnaA.This study shows that indole could enhance the bactericidal effect of tetracycline on V.splendidus by decreased ribosome level probably but increased ATP level.展开更多
In recent years,molecular identification technology has become the predominant approach for the identification of traditional Chinese medicine.The molecular identification techniques in recent years were analyzed and ...In recent years,molecular identification technology has become the predominant approach for the identification of traditional Chinese medicine.The molecular identification techniques in recent years were analyzed and summarized in this paper,such as RAPD,ISSR,RFLP,AFLP,SNP,and DNA bar code sequence analysis techniques.By consulting Sciencedirect databases and Web of Science databases,2348 related articles were found,of which 39 were related to molecular identification techniques and traditional Chinese medicine.The application of the molecular identification techniques in four aspects was reviewed,namely the identification on the authenticity(true or false),multi-source identification and genetic diversity,producing area,and growing year discrimination of traditional Chinese medicine.展开更多
Cold-surge events can lead to temperature drops and strong winds,which then leads to upper-ocean cooling and deepening of the mixed-layer depth,as illustrated in previous studies.In this study,based on the temperature...Cold-surge events can lead to temperature drops and strong winds,which then leads to upper-ocean cooling and deepening of the mixed-layer depth,as illustrated in previous studies.In this study,based on the temperature drop of Shanwei meteorological station,two extreme cold surges and five weak cold invasions in the South China Sea are simulated using an ocean-atmosphere coupled model to investigate their different impacts on the upper-ocean temperature.The diffusion term contributes to the difference in temperature tendency of the upper 20 m,while the advection term contributes to the positive difference from 20 to 80 m of the offshore region and negative difference from 80 to 160 m.In addition,the significant differences are attributed primarily to the influence of the upper-ocean temperature gradient,which subsequently impacts the advection term and results in notable differences in temperature tendency at depths from 80 to 160 m.展开更多
Heavy metals have been viewed as hazardous environmental pollutants, and anthropogenic activities due to their high toxicity and persistent nature in the environment. Anthropogenic activities such as artisanal mining,...Heavy metals have been viewed as hazardous environmental pollutants, and anthropogenic activities due to their high toxicity and persistent nature in the environment. Anthropogenic activities such as artisanal mining, industrial activities, improper usage of fertilizers and pesticides, and indiscriminate open waste disposal bring about an increase in the presence of heavy metals in the environment. In the Keffi Metropolis, different elements lead to land contamination which debilitates soil quality, plant survival, human well-being, and the environment as a result of extensive dispersion or quantity of heavy metals in the soil and water. In recent years, biochar has emerged as a promising soil amendment for mitigating heavy metal pollution due to its unique physicochemical properties. This paper provides the effects of softwood pellet biochar on the retention of heavy metals in contaminated soils. A microcosm experiment was carried out to investigate the effects of biochar on the retention of heavy metals in contaminated soils. This research aimed to give an overview of the effects of softwood biochar at different temperatures (550˚C and 700˚C) on the retention of heavy metals and metalloids released from the soil during water inundation. The results show that the addition of organic matter (grass chippings) minimizes heavy metal mobilization. Also, biochar at high temperatures is more effective than those at low temperatures. The expected outcome of the research analysis includes providing insights into the role of biochar in retaining heavy metal contamination and further understanding the use of biochar as a sorbent for the management of contaminated soil.展开更多
基金supported by National Natural Science Foundation of China(Grant No.81900873 to A.Q.)the Jiangsu Provincial Key Research and Development Programme-social development(Grant No.BE2023777 to W.Z.)+1 种基金the Key Medical Research Project of Jiangsu Commission of Health(Grant No.H2022185 to W.Z.)the Clinical Capacity Enhancement Project of Jiangsu Province Hospital(Grant No.JSPH-MB-2023-18 to W.Z.)。
文摘Diabetic retinopathy(DR),a common complication of diabetes,is characterized by retinal angiogenesis and inflammation.The role of hepatoma-derived growth factor(HDGF)in mediating inflammation during DR remains unclear.We measured HDGF levels in the aqueous humor and found that HDGF was increased in DR but decreased after anti-angiogenesis treatment.Using public single-cell RNA sequencing datasets,we found that elevated HDGF in DR was mainly produced by Müller cells and targeted microglia.Additionally,integrin beta 2(Itgb2),a target gene of HDGF that induces microglial activation,was significantly upregulated in DR.To verify these results,we performed enzyme-linked immunosorbent assays,quantitative reverse transcription-PCR,Western blotting,and fluorescence immunostaining in cultured Müller and microglial cells treated with HDGF or anti-HDGF,as well as in DR mice receiving intravitreal injections of HDGF or its antibody.Exogenous HDGF further promoted microglial activation,migration,and secretion of pro-inflammatory cytokines,while neutralization of HDGF suppressed these effects caused by high glucose.Furthermore,the HDGF receptor nucleolin was overexpressed in microglia under high glucose stimulation.Therefore,blocking HDGF from Müller cells in DR reduced the excessive inflammatory response in microglia,highlighting HDGF as a potential therapeutic target.
基金supported by National Natural Science Foundation of China(NSFC,22338006,92356301,9235630033 and 22375062)Shanghai Municipal Science and Technology Major Project(21JC1401700)+4 种基金Shanghai Pilot Program for Basic Research(22TQ1400100-10)Fundamental Research Funds for the Central UniversitiesShanghai Pujiang Program(22PJ1402400)“Chenguang Program”supported by Shanghai Education Development Foundation and Shanghai Municipal Education Commission(22CGA32)the Young Elite Scientists Sponsorship Program by CAST(2023QNRC001).
文摘Organic nanophotocatalysts are promising candidates for solar fuels production,but they still face the challenge of unfavorable geminate recombination due to the limited exciton diffusion lengths.Here,we introduce a binary nanophotocatalyst fabricated by blending two polymers,PS-PEG5(PS)and PBT-PEG5(PBT),with matched absorption and emission spectra,enabling a Forster resonance energy transfer(FRET)process for enhanced photocatalysis.These heterostructure nanophotocatalysts are processed using a facile and scalable flash nanoprecipitation(FNP)technique with precious kinetic control over binary nanoparticle formation.The resulting nanoparticles exhibit an exceptional photocatalytic hydrogen evolution rate up to 65 mmol g^(-1) h^(-1),2.5 times higher than that single component nanoparticles.Characterizations through fluorescence spectra and transient absorption spectra confirm the hetero-energy transfer within the binary nanoparticles,which prolongs the excited-state lifetime and extends the namely“effective exciton diffusion length”.Our finding opens new avenues for designing efficient organic photocatalysts by improving exciton migration.
文摘<div style="text-align:justify;"> Peanut oil oxidation was to monitor and quantify combining synchronous fluorescence spectroscopy and chemometrics. Peanut oil was subjected to an accelerated oxidation testing. The spectral and related chemical indicators were caught during oxidation induce testing. Fluorescence spectra were gained for each sample with simultaneous excitation from 200 to 800 nm and the offsets (Δλ) of 10 to 180 nm during the oxidation process. The results showed the induce period (IP) of the peanut oil was 16.45 h. Parallel factor analysis (PARAFAC) was performed to select the best Δλ interval of 70 nm, which spectral data was the most suitable for interval partial least square (iPLS) and synergy interval PLS (siPLS) modeling and forecast. The study presented all interval selection methods had the better results than the global spectrum modelling. iPLS reached the best into 10 intervals with a ratio of prediction to deviation (RPD) of 2.10. siPLS that separated the whole spectrum into 15 intervals and combined the third intervals (282 to 320 nm, 362 to 400 nm, and 761 to 800 nm) had a ratio of RPD of 2.26. The results showed the optimal siPLS model performed a little better than iPLS. The established model lying on interval selection could improve the prediction accuracy. It could provide a quick, accurate method to monitor oil oxidation process. </div>
文摘Following the groundbreaking introduction of the Transformer architecture in 2017,the development of Large Language Models(LLMs)formally commenced.In May 2020,Chat GPT-3,with over one hundred billion parameters,entered the public eye,marking a significant milestone in LLM advancement.
基金co-supported by the National Natural Science Foundation of China(No.91852115)。
文摘The high maneuverability of modern fighters in close air combat imposes significant cognitive demands on pilots,making rapid,accurate decision-making challenging.While reinforcement learning(RL)has shown promise in this domain,the existing methods often lack strategic depth and generalization in complex,high-dimensional environments.To address these limitations,this paper proposes an optimized self-play method enhanced by advancements in fighter modeling,neural network design,and algorithmic frameworks.This study employs a six-degree-of-freedom(6-DOF)F-16 fighter model based on open-source aerodynamic data,featuring airborne equipment and a realistic visual simulation platform,unlike traditional 3-DOF models.To capture temporal dynamics,Long Short-Term Memory(LSTM)layers are integrated into the neural network,complemented by delayed input stacking.The RL environment incorporates expert strategies,curiositydriven rewards,and curriculum learning to improve adaptability and strategic decision-making.Experimental results demonstrate that the proposed approach achieves a winning rate exceeding90%against classical single-agent methods.Additionally,through enhanced 3D visual platforms,we conducted human-agent confrontation experiments,where the agent attained an average winning rate of over 75%.The agent's maneuver trajectories closely align with human pilot strategies,showcasing its potential in decision-making and pilot training applications.This study highlights the effectiveness of integrating advanced modeling and self-play techniques in developing robust air combat decision-making systems.
基金financially supported by the Advanced Fiber Materials Engineering Research Center of Anhui Province(No.2023AFMC20)the Scientific Research Foundation for Advanced Talents of Anhui Polytechnic University(No.2022YQQ072)+5 种基金the Anhui Province Key Research and Development Program(No.2022i01020002)the Key Project Foundation of Anhui Higher Education Institutes of China(No.2023AH050941)the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(No.22KJB180020)the Transversal Project(No.KH10004443),the Anhui Provincial Natural Science Foundation(No.2308085Y45)the Program for Excellent Sci-tech Innovation Teams of Universities in Anhui Province(No.2023AH010073)Wuhu Science and Technology Department project(No.2023jc22).
文摘The skin wound is susceptible to bacterial invasion,which hinders the healing of the wound,especially when infected with multi-drug resistant strains.This demands novel bioactive materials to combat bacterial infections.In this study,gallium oxide nanoparticles(Ga_(2)O_(3)NPs)were successfully synthesized through high-temperature thermal decomposition,exhibiting excellent biocompatibility and photocatalytic antimicrobial activity.The Ga_(2)O_(3)NPs were crosslinked into chitosan hydrogel to create a light-responsive multilayered 3D porous hydrogel(Ga_(2)O_(3)NPs hydrogel)for use in photocatalytic antimicrobial therapy(PCAT).The prepared Ga_(2)O_(3)NPs hydrogel exhibits broad-spectrum photocatalytic activity and remarkable antibacterial efficacy against E.coli and S.aureus.It effectively eradicates biofilms,promotes reactive oxygen species production,disrupts bacterial cell membranes,and induces nucleic acid leakage,ultimately resulting in bacterial death.Additionally,it exhibits excellent biosafety.Both in vitro pigskin and in vivo mouse wound infection models have confirmed the remarkable efficacy of Ga_(2)O_(3)NPs hydrogel in PCAT.Notably,Ga_(2)O_(3)NPs hydrogel created a moist environment for the wound in an MDR S.aureus-infected mouse wound model,demonstrating significant potential to facilitate wound healing and minimize scar formation.This study introduces a novel hydrogel dressing without antibiotic components for resistant bacterial-infected wounds.
基金supported by the National Natural Science Foundation of China(Grant No.92152301)the National Key Research and Development Program of China(Grant No.2022YFB4300200)the Shaanxi Provincial Key Research and Development Program(Grant No.2023-ZDLGY-27).
文摘Physics-informed neural networks(PINNs)have shown remarkable prospects in solving the forward and inverse problems involving partial differential equations(PDEs).The method embeds PDEs into the neural network by calculating the PDE loss at a set of collocation points,providing advantages such as meshfree and more convenient adaptive sampling.However,when solving PDEs using nonuniform collocation points,PINNs still face challenge regarding inefficient convergence of PDE residuals or even failure.In this work,we first analyze the ill-conditioning of the PDE loss in PINNs under nonuniform collocation points.To address the issue,we define volume weighting residual and propose volume weighting physics-informed neural networks(VW-PINNs).Through weighting the PDE residuals by the volume that the collocation points occupy within the computational domain,we embed explicitly the distribution characteristics of collocation points in the loss evaluation.The fast and sufficient convergence of the PDE residuals for the problems involving nonuniform collocation points is guaranteed.Considering the meshfree characteristics of VW-PINNs,we also develop a volume approximation algorithm based on kernel density estimation to calculate the volume of the collocation points.We validate the universality of VW-PINNs by solving the forward problems involving flow over a circular cylinder and flow over the NACA0012 airfoil under different inflow conditions,where conventional PINNs fail.By solving the Burgers’equation,we verify that VW-PINNs can enhance the efficiency of existing the adaptive sampling method in solving the forward problem by three times,and can reduce the relative L 2 error of conventional PINNs in solving the inverse problem by more than one order of magnitude.
基金the National Natural Science Foundation of China(Nos.52174365,52004155,52334009 and 52130204)the National Key R&D Program of China(Nos.2023YFB3506701 and 2022YFB3706801)the Science and Technology Commission of Shanghai Municipality(No.21DZ1208900).
文摘Developing an industrially relevant electrode with high catalytic activity,stability,and tunable composition/size for large-scale water electrolysis is a significant challenge.We have created an integrated elec-trode(NFM30-N)for the oxygen evolution reaction(OER)using a facile top-down approach that combines arc melting with dealloying-oxidation.Due to the dealloying-oxidation effect,the asderived porous amorphous M-O,M-OH,and M-OOH(M=Ni,Fe)nanocones cover the basic NiFeMn alloy.This integrated design enables NFM30-N to exhibit outstanding OER performance at high current densities,requiring low overpotentials of only 282 and 323 mV to achieve large current densities of 100 and 500 mA cm^(-2),respectively.It also displays a small Tafel slope of 44.1 mV dec^(-1) and remarkable stability for over 100 h at 100 and 500 mA cm^(-2).When used as an anode,a two-electrode electrolyzer cell with NFM30-N at 500 mA cm^(-2) only requires a cell voltage of 1.619 V and exhibits excellent stability,with almost no performance degradation after continuous chronopotentiometry test for each 100 h at 500 and 100 mA cm^(-2).This exceptional OER electrocatalytic performance is attributed to the integrated structure providing high electrical conductivity and stability,the presence of numerous active sites due to dealloying and the amorphous structure,and the promotion of the OER process by M-O,M-OH,and M-OOH species.This work offers a novel idea for fabricating integrated,industrially relevant electrocatalytic electrodes through traditional metallurgy combined with dealloying-oxidation.
基金supported by the National Natural Science Foundation of China(No.42325505)the National Key R&D Program of China(No.2022YFC3704200)the Tsinghua University Initiative Scientific Research Program.
文摘Ship emissions contribute considerably to air pollution and are expected to decline under domestic policies and international cooperation such as green shipping corridors(GSCs).However,evaluation of the emission reduction potential by the Domestic Emission Control Area(DECA)policy and GSC cooperation is still lacking.Here,a series of multi-year high spatiotemporal ship emission inventories around Hainan,a representative island province of China,were developed with the state-of-the-art Shipping Emission Inventory Model.The improved origin-destination identification algorithm allowed emission allocation to port level.The emission reduction potential of the DECA policy and Hainan's joining GSCwas analyzed.In 2022,ship emission intensity in waters 12 Nm from Hainan(Hainan-12Nm)were 6.4%-7.4% of that in waters 12 Nm from China.From 2019 to 2022,Hainan-12Nm emissions dropped by 66.7%-77.8% for SO_(2) and PM2.5.Ideally,with adequate ultra-low-sulfur fuel,DECA can reduce SO_(2) and PM2.5 emissions by 16.6% and 22.4% yearly compared with no-DECA scenario.However,emission reduction would drop markedly if ultra-low-sulfur fuel is short in supply.Emissions of voyages passing through 200 Nm from Hainan took up 1%-4%of international shipping emissions,implying great emission reduction potential for Hainan's establishing GSCs,especially considering the flourishing South-South trade.This study provides a thorough assessment of the current state of shipping emissions around Hainan as well as offers excellent data support for Hainan to further advance the future upgrade of ship emission management policies.
基金supported by the National Natural Science Foundation of China(Grant No.92152301).
文摘Numerical simulation is dominant in solving partial differential equations(PDEs),but balancing fine-grained grids with low computational costs is challenging.Recently,solving PDEs with neural networks(NNs)has gained interest,yet cost-effectiveness and high accuracy remain a challenge.This work introduces a novel paradigm for solving PDEs,called multi-scale neural computing(MSNC),considering spectral bias of NNs and local approximation properties in the finite difference method(FDM).The MSNC decomposes the solution with a NN for efficient capture of global scale and the FDM for detailed description of local scale,aiming to balance costs and accuracy.Demonstrated advantages include higher accuracy(10 times for 1D PDEs,20 times for 2D PDEs)and lower costs(4 times for 1D PDEs,16 times for 2D PDEs)than the standard FDM.The MSNC also exhibits stable convergence and rigorous boundary condition satisfaction,showcasing the potential for hybrid of NN and numerical method.
基金supported by the National Key R&D Program of China(No.2023YFB4004700)。
文摘Anion exchange membrane fuel cells(AEMFCs)are considered a more affordable technology compared to proton exchange membrane fuel cells(PEMFCs),but the performance and durability of AEMFCs are still not competent with PEMFCs owing to the more challenging water management,which severely hinders its development and real-life applications.In this study,we introduce the strategy to boost the performance and stability of the membrane electrode assembly(MEA)of AEMFCs by regulating the hydrophilicity of the anode and cathode ionomers.Two poly(biphenyl alkylene)ionomers with different hydrophilicity are synthesized and used to fabricate MEAs with asymmetric or symmetric ionomer configurations in the anodic and cathodic catalyst layers(CLs)for AEMFCs.Molecular dynamics(MD)simulations have revealed different diffusion rates of water in the hydrophobic anode and the hydrophilic cathode,which show the potential of this design to improve water management in AEMFCs,The effectiveness of this design is also confirmed by experimental results that the MEA with this asymmetric configuration exhibits the highest power and current densities of 1.58 W cm^(-2)or 5.58 A cm^(-2),respectively,among all configurations.Furthermore,this configuration also enhances the durability,with the MEA showing a voltage decay rate of only 313.1μV h^(-1)after 500 h of in-situ durability test at 0.2 A cm^(-2).This study provides new insights into the rational design of more efficient water management in MEA for high-performance AEMFCs.
基金Supported by the Zhejiang Provincial Natural Science Foundation for Distinguished Young Scholar(No.LR20C190001)the National Natural Science Foundation of China(No.42376103)+1 种基金the Natural Science Foundation of Ningbo City(No.2021J062)the K.C.Wong Magna Fund in Ningbo University。
文摘Recently,more and more bacteria have been reported to become tolerant to antibiotics.In this study,one tnaA gene involved in indole production,and the effect of exogenous indole on the formation of persister cells specific to tetracycline in Vibrio splendidus were characterized.The tnaA Vs gene was first cloned and conditionally expressed in Escherichia coli Rosetta(DE3).To investigate the regulatory effect of TnaA Vs,the tnaA deletion strain AJ01/ΔtnaA was constructed by in-frame deletion.The undetected extracellular indole in the AJ01/ΔtnaA indicated that TnaA was the solo enzyme to produce indole in V.splendidus.The drop plate method showed that AJ01/ΔtnaA was more tolerant to the higher concentration of tetracycline than that of AJ01,being 340-fold higher in the proportion of survived cells when cell density OD 600≈0.65.Moreover,the synergistic effects of indole and tetracycline on killing of V.splendidus were determined.Results show that addition of 2-mmol/L indole increased the susceptibility of both AJ01 and AJ01/ΔtnaA to 10×minimum inhibitory concentration tetracycline.To explore the genes and pathways regulated by TnaA Vs,the transcriptomic analysis between AJ01 and AJ01/ΔtnaA was performed.Result shows that TCA cycle,arginine biosynthesis,quorum sensing and microbial metabolism in diverse environments were downregulated,while the ribosome pathways,the protein metabolic process,peptide biosynthetic and metabolic process were upregulated in the AJ01/ΔtnaA.This study shows that indole could enhance the bactericidal effect of tetracycline on V.splendidus by decreased ribosome level probably but increased ATP level.
基金supported by National Nature Science Foundation of China(81973284)Scientific Research Foundation of the Education Department of Liaoning Province(LJKZ0944).
文摘In recent years,molecular identification technology has become the predominant approach for the identification of traditional Chinese medicine.The molecular identification techniques in recent years were analyzed and summarized in this paper,such as RAPD,ISSR,RFLP,AFLP,SNP,and DNA bar code sequence analysis techniques.By consulting Sciencedirect databases and Web of Science databases,2348 related articles were found,of which 39 were related to molecular identification techniques and traditional Chinese medicine.The application of the molecular identification techniques in four aspects was reviewed,namely the identification on the authenticity(true or false),multi-source identification and genetic diversity,producing area,and growing year discrimination of traditional Chinese medicine.
基金jointly supported by the Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)[grant number SML2023SP240]the National Natural Science Foundation of China[grant number 92158204]。
文摘Cold-surge events can lead to temperature drops and strong winds,which then leads to upper-ocean cooling and deepening of the mixed-layer depth,as illustrated in previous studies.In this study,based on the temperature drop of Shanwei meteorological station,two extreme cold surges and five weak cold invasions in the South China Sea are simulated using an ocean-atmosphere coupled model to investigate their different impacts on the upper-ocean temperature.The diffusion term contributes to the difference in temperature tendency of the upper 20 m,while the advection term contributes to the positive difference from 20 to 80 m of the offshore region and negative difference from 80 to 160 m.In addition,the significant differences are attributed primarily to the influence of the upper-ocean temperature gradient,which subsequently impacts the advection term and results in notable differences in temperature tendency at depths from 80 to 160 m.
文摘Heavy metals have been viewed as hazardous environmental pollutants, and anthropogenic activities due to their high toxicity and persistent nature in the environment. Anthropogenic activities such as artisanal mining, industrial activities, improper usage of fertilizers and pesticides, and indiscriminate open waste disposal bring about an increase in the presence of heavy metals in the environment. In the Keffi Metropolis, different elements lead to land contamination which debilitates soil quality, plant survival, human well-being, and the environment as a result of extensive dispersion or quantity of heavy metals in the soil and water. In recent years, biochar has emerged as a promising soil amendment for mitigating heavy metal pollution due to its unique physicochemical properties. This paper provides the effects of softwood pellet biochar on the retention of heavy metals in contaminated soils. A microcosm experiment was carried out to investigate the effects of biochar on the retention of heavy metals in contaminated soils. This research aimed to give an overview of the effects of softwood biochar at different temperatures (550˚C and 700˚C) on the retention of heavy metals and metalloids released from the soil during water inundation. The results show that the addition of organic matter (grass chippings) minimizes heavy metal mobilization. Also, biochar at high temperatures is more effective than those at low temperatures. The expected outcome of the research analysis includes providing insights into the role of biochar in retaining heavy metal contamination and further understanding the use of biochar as a sorbent for the management of contaminated soil.
