We report first-principles predictions of a cage-like polymeric nitrogen phase(cage-N)composed of interlocked N10 clusters stabilized by mixed sp^(2)/sp^(3) hybridization.Under high pressure,cage-N exhibits exceptiona...We report first-principles predictions of a cage-like polymeric nitrogen phase(cage-N)composed of interlocked N10 clusters stabilized by mixed sp^(2)/sp^(3) hybridization.Under high pressure,cage-N exhibits exceptional mechanical performance,including an ideal compressive strength of 343 GPa at a pressure of 300 GPa,~33% higher than that of diamond.This ultrahigh strength arises from the synergistic interplay between its three-dimensional covalent framework and hybridized bonding topology,which enables isotropic stress accommodation and dynamic electronic rearrangement.These results establish cage-N as a promising non-carbon ultrahard material and provide a bonding-driven route toward designing superhard frameworks under extreme conditions.展开更多
Parkinson’s disease is the second most common neurodegenerative disorder.ATPase H+transporting V0 subunit A1(ATP6V0A1)is a component of vacuolar H+-ATPase(V-ATPase),an ATP-dependent proton pump.Our previous research ...Parkinson’s disease is the second most common neurodegenerative disorder.ATPase H+transporting V0 subunit A1(ATP6V0A1)is a component of vacuolar H+-ATPase(V-ATPase),an ATP-dependent proton pump.Our previous research identified an association between the ATP6V0A1 rs601999 variant and Parkinson’s disease;however,the underlying mechanisms of ATP6V0A1 in Parkinson’s disease remain elusive.In this study,we generated ATP6V0A1 knockdown and overexpression models and then examined the degeneration of dopaminergic neurons,lysosomal function,and the autophagy-lysosomal pathway using immunohistochemistry,western blotting,and transmission electron microscopy.We found that ATP6V0A1 protected against lysosomal dysfunction,regulated autophagic flux,and decreased phosphorylatedα-synuclein levels in vitro.In vivo,ATP6V0A1 reduced levels ofα-synuclein and phosphorylatedα-synuclein proteins,mitigated degeneration of dopaminergic neurons,and improved motor dysfunction.Collectively,these findings show that ATP6V0A1 plays a protective role in Parkinson’s disease by modulating the autophagy-lysosomal pathway.A correlation between ATP6V0A1 and Parkinson’s disease susceptibility may serve as a biomarker for Parkinson’s disease,while the protective effects of ATP6V0A1 could represent a potential therapeutic target for the disease.展开更多
Sustained and spatially explicit monitoring of the United Nations 2030 Agenda for Sustainable Development is critical for effectively tracking progress toward the global Sustainable Development Goals(SDGs).Although la...Sustained and spatially explicit monitoring of the United Nations 2030 Agenda for Sustainable Development is critical for effectively tracking progress toward the global Sustainable Development Goals(SDGs).Although land cover information has long been recognized as an essential component for monitoring SDGs,a standardized scientific framework for identifying and prioritizing land cover related essential variables does not exist.Therefore,we propose a novel expert-and data-driven framework for identifying,refining,and selecting a priority list of Essential Land cover-related Variables for SDGs(ELcV4SDGs).This framework integrates methods including expert knowledge-based analysis,clustering of variables with similar attributes,and quantified index calculation to establish the priority list.Applying the framework to 15 specific SDG indicators,we found that the ELcV4SDGs priority list comprises three main categories,type and structure,pattern and intensity,and process and evolution of land cover,which are further divided into 19 subcategories and ultimately encompass 50 general variables.The ELcV4SDGs will support detailed spatial monitoring and enhance their scientific applications for SDG monitoring and assessment,thereby guiding future SDG priority actions and informing decision-making to advance the 2030 SDGs agenda at local,national,and global levels.展开更多
Optimization problems are prevalent in various fields of science and engineering,with several real-world applications characterized by high dimensionality and complex search landscapes.Starfish optimization algorithm(...Optimization problems are prevalent in various fields of science and engineering,with several real-world applications characterized by high dimensionality and complex search landscapes.Starfish optimization algorithm(SFOA)is a recently optimizer inspired by swarm intelligence,which is effective for numerical optimization,but it may encounter premature and local convergence for complex optimization problems.To address these challenges,this paper proposes the multi-strategy enhanced crested porcupine-starfish optimization algorithm(MCPSFOA).The core innovation of MCPSFOA lies in employing a hybrid strategy to improve SFOA,which integrates the exploratory mechanisms of SFOA with the diverse search capacity of the Crested Porcupine Optimizer(CPO).This synergy enhances MCPSFOA’s ability to navigate complex and multimodal search spaces.To further prevent premature convergence,MCPSFOA incorporates Lévy flight,leveraging its characteristic long and short jump patterns to enable large-scale exploration and escape from local optima.Subsequently,Gaussian mutation is applied for precise solution tuning,introducing controlled perturbations that enhance accuracy and mitigate the risk of insufficient exploitation.Notably,the population diversity enhancement mechanism periodically identifies and resets stagnant individuals,thereby consistently revitalizing population variety throughout the optimization process.MCPSFOA is rigorously evaluated on 24 classical benchmark functions(including high-dimensional cases),the CEC2017 suite,and the CEC2022 suite.MCPSFOA achieves superior overall performance with Friedman mean ranks of 2.208,2.310 and 2.417 on these benchmark functions,outperforming 11 state-of-the-art algorithms.Furthermore,the practical applicability of MCPSFOA is confirmed through its successful application to five engineering optimization cases,where it also yields excellent results.In conclusion,MCPSFOA is not only a highly effective and reliable optimizer for benchmark functions,but also a practical tool for solving real-world optimization problems.展开更多
Na_(3)V_(2)(PO_(4))_(3)(NVP)is a promising electrode material that exhibits magnetic anisotropy;however,the potential of this magnetic anisotropy to optimize battery performance has been largely unexplored.This study ...Na_(3)V_(2)(PO_(4))_(3)(NVP)is a promising electrode material that exhibits magnetic anisotropy;however,the potential of this magnetic anisotropy to optimize battery performance has been largely unexplored.This study proposes a cost-effective and efficient method to induce the alignment of NVP along the(113)crystal plane by applying a vertical magnetic field during the slurry coating process,thereby enhancing its battery performance.Comprehensive structural characterizations and theoretical analysis elucidate the structure-activity relationship between the preferred crystal orientation and ion transport kinetics,facilitating the formation of more ordered Na+deintercalation pathways in NVP electrodes.This alignment reduces electrode tortuosity,enhances interfacial compatibility,and substantially improves battery performance,particularly in terms of high-rate cycling capability.As a result,the magnetic-field-modulated NVP(NVP-M⊥)electrode exhibits a high capacity retention of85.1%after 500 cycles at 5 C,significantly surpassing that of the pristine electrode.The NVP-M⊥electrode also demonstrates considerable reversible capacity at 40 C and maintains excellent stability under high temperature and prolonged cycling conditions.Furthermore,superior battery performance is observed in the assembled NVP-M⊥‖hard-carbon pouch cell and commercial NVP electrode following magnetic-field modulation,thereby validating the efficacy of this method.Consequently,this magnetic-field-induced crystal-orientation optimization strategy provides an innovative approach for low-cost and highthroughput preparation of high-performance sodium-ion batteries.展开更多
Electrocatalytic water splitting for green hydrogen is hindered by the slow oxygen evolution reaction(OER).Replacing OER with ethylene glycol oxidation(EGOR)offers an energy-saving route,coproducing valuable chemicals...Electrocatalytic water splitting for green hydrogen is hindered by the slow oxygen evolution reaction(OER).Replacing OER with ethylene glycol oxidation(EGOR)offers an energy-saving route,coproducing valuable chemicals,but requires efficient,stable,and low-cost catalysts.Here,we report a sulfate-doped NiOOH-Ni(OH)_(2)catalyst(denoted S-NiOOH-Ni(OH)_(2)).SO_(4)^(2-)doping significantly boosts intrinsic activity,enabling exceptional EGOR performance(only 1.45 V for~650 mA cm^(-2)).In situ studies reveal that a unique"structural locking"effect stabilizes the highly activeβ-NiOOH phase within the composite,differing from conventional reconstruction.Notably,we successfully scaled up this catalyst to an industrial-scale electrolyzer(anode area:1386 cm^(2))and constructed an integrated electrochemical-conventional chemical coupling system,which stably produced 290 L of hydrogen and kilogram-scale high-purity potassium diformate(KDF)per batch.Techno-economic analysis confirms strong commercial viability,projecting$7.1 million annual profit and a payback period under one year.This work bridges advanced catalyst design to industrial biomass valorization coupled with hydrogen production.展开更多
Accurate and efficient detection of building changes in remote sensing imagery is crucial for urban planning,disaster emergency response,and resource management.However,existing methods face challenges such as spectra...Accurate and efficient detection of building changes in remote sensing imagery is crucial for urban planning,disaster emergency response,and resource management.However,existing methods face challenges such as spectral similarity between buildings and backgrounds,sensor variations,and insufficient computational efficiency.To address these challenges,this paper proposes a novel Multi-scale Efficient Wavelet-based Change Detection Network(MewCDNet),which integrates the advantages of Convolutional Neural Networks and Transformers,balances computational costs,and achieves high-performance building change detection.The network employs EfficientNet-B4 as the backbone for hierarchical feature extraction,integrates multi-level feature maps through a multi-scale fusion strategy,and incorporates two key modules:Cross-temporal Difference Detection(CTDD)and Cross-scale Wavelet Refinement(CSWR).CTDD adopts a dual-branch architecture that combines pixel-wise differencing with semanticaware Euclidean distance weighting to enhance the distinction between true changes and background noise.CSWR integrates Haar-based Discrete Wavelet Transform with multi-head cross-attention mechanisms,enabling cross-scale feature fusion while significantly improving edge localization and suppressing spurious changes.Extensive experiments on four benchmark datasets demonstrate MewCDNet’s superiority over comparison methods:achieving F1 scores of 91.54%on LEVIR,93.70%on WHUCD,and 64.96%on S2Looking for building change detection.Furthermore,MewCDNet exhibits optimal performance on the multi-class⋅SYSU dataset(F1:82.71%),highlighting its exceptional generalization capability.展开更多
Perovskite solar cells(PSCs)have emerged as a revolutionary photovoltaic technology due to their exceptional optoelectronic properties and low-cost solution processability,yet their fabrication typically demands strin...Perovskite solar cells(PSCs)have emerged as a revolutionary photovoltaic technology due to their exceptional optoelectronic properties and low-cost solution processability,yet their fabrication typically demands stringent inert conditions to mitigate environmental degradation.However,achieving efficient and stable PSC fabrication in ambient air is crucial for their widespread commercialization,as it significantly reduces manufacturing costs,simplifies process flow,and enables scalable roll-to-roll and printing techniques.The main challenges hindering ambient processing include moisture-induced degradation,oxygen-related oxidation,and humidity-driven variations in crystallization kinetics,which often lead to reduced film quality,defective interfaces,and limited device performance.Recent advancements in ambient-air processing of PSCs present a promising pathway toward scalable and eco-friendly manufacturing,though challenges such as moisture sensitivity,oxygeninduced degradation,and crystallization control remain.This review examines ambient-air effects on perovskite formation,device performance,and stability,alongside strategies for improvement via compositional engineering,solvent optimization,and novel deposition methods.Furthermore,we discuss the progress in lab-scale and large-scale ambient-air fabrication methods,emphasizing their potential for industrial translation.Finally,we outline future research directions to enhance the efficiency,stability,and commercial viability of air-processed PSCs,underscoring their critical role in sustainable energy development.展开更多
AIM:To explore the repeatability,reproducibility,and agreement in the measurement of the choroidal vascularity index(CVI)for different swept-source optical coherence tomography(OCT)devices and between OCT and OCT angi...AIM:To explore the repeatability,reproducibility,and agreement in the measurement of the choroidal vascularity index(CVI)for different swept-source optical coherence tomography(OCT)devices and between OCT and OCT angiography(OCTA)images.METHODS:Two swept-source OCT imaging systems,VG200I and Topcon DRI OCT Triton,were used to capture OCT and OCTA images in triplicate.The first and third images were taken by one operator,and the second image was taken by another operator.The built-in software was used to calculate the CVI from the OCTA images(CVI-OCTA),and a custom-designed algorithm was used to calculate the CVI from the OCT images(CVI-OCT).Repeatability and reproducibility were assessed with the intraclass correlation coefficient(ICC),and agreement between devices and between OCT and OCTA were evaluated with Bland-Altman analysis.RESULTS:Sixty-eight eyes from 35 adults(17 females)were included in the analysis.The average age of the participants was 23.6±2.3y,with an average spherical equivalent refraction of-3.08±2.47 D and an average AL of 25.21±1.20 mm.Both OCT devices demonstrated high repeatability and reproducibility in measuring the CVI-OCTA(all ICCs>0.894 across five choroidal regions)and CVI-OCT(all ICCs>0.838).Furthermore,the between-device agreement in measuring the CVI-OCT was good[mean difference(MD)ranging from-2.32%to-3.07%],but that in measuring the CVI-OCTA was poor(MD,1.48%to-7.43%).Additionally,the between-imaging agreement(CVI-OCTA versus CVI-OCT)was poor for both devices(Triton,MD,6.05%to 12.68%;VG200I,MD,6.67%to 12.09%).CONCLUSION:Both OCT devices and the two analytical methods demonstrate good stability.The inter-device consistency of CVI-OCT is good,while the inter-device consistency of CVI-OCTA and the consistency between the two analytical methods in the same device are both poor.展开更多
As the central template for protein expression,messenger ribonucleic acid(mRNA)holds immense potential for novel therapeutic strategies.Over the past few decades,mRNA-based therapeutics have demonstrated remarkable ef...As the central template for protein expression,messenger ribonucleic acid(mRNA)holds immense potential for novel therapeutic strategies.Over the past few decades,mRNA-based therapeutics have demonstrated remarkable efficacy in a range of applications,including epidemic vaccine,cancer vaccine,protein replacement therapy,cytokine therapy,cell therapy and gene editing.Due to the inherent instability of mRNA,the rational design of mRNA structure is the prerequisite for therapeutic utility while effective delivery systems are also essential for in vivo applications.This review focuses on the optimization of mRNA structure and highlights key delivery strategies.It also provides a comprehensive overview of the major applications of mRNA-based strategies.In addition,it highlights the persistent challenges in m RNA therapeutics,particularly in terms of stability,immunogenicity,delivery efficiency and safety.By examining recent advances in mRNA design,delivery and application,this review aims to support ongoing research and development in the field of mRNA-based therapeutics.展开更多
In recent years,optoelectronic synapses have garnered significant attention in the field of neuromorphic computing due to their integration of optical sensing and synaptic functions.In this work,we propose an optoelec...In recent years,optoelectronic synapses have garnered significant attention in the field of neuromorphic computing due to their integration of optical sensing and synaptic functions.In this work,we propose an optoelectronic synapse based on IGZO/Bi_(3.25)La_(0.75)Ti_(3)O_(12)heterojunction.Under UV light stimulation,this device can simulate a range of synaptic behaviors,including paired-pulse facilitation,spike-intensity-dependent plasticity,spike-number-dependent plasticity,spike-width-dependent plasticity,and the transition from short-term memory to long-term memory.The majority of perceptible information for humans is acquired through the visual system.The 3×3 retinal morphology synapse arrays constructed based on plasticity behaviors not only integrates light perception and storage functions but also exhibits adaptive adjustment capabilities to address image blurring caused by object movement.At the same time,in CNN recognition training,the device successfully simulates the learning-relearning mechanism of the human brain.These findings highlight the device's immense potential for applications in artificial vision systems.展开更多
基金supported by the Natural Science Foundation of China(Grant Nos.T2325013,52288102,52090024,12034009,12474004,and 12304036)the National Key R&D Program of China Grant No.2023YFA1610000+1 种基金the Fundamental Research Funds for the Central Universitiesthe Program for Jilin University and Sun Yat-sen University.
文摘We report first-principles predictions of a cage-like polymeric nitrogen phase(cage-N)composed of interlocked N10 clusters stabilized by mixed sp^(2)/sp^(3) hybridization.Under high pressure,cage-N exhibits exceptional mechanical performance,including an ideal compressive strength of 343 GPa at a pressure of 300 GPa,~33% higher than that of diamond.This ultrahigh strength arises from the synergistic interplay between its three-dimensional covalent framework and hybridized bonding topology,which enables isotropic stress accommodation and dynamic electronic rearrangement.These results establish cage-N as a promising non-carbon ultrahard material and provide a bonding-driven route toward designing superhard frameworks under extreme conditions.
基金supported by the Youth Program of the National Natural Science Foundation of China,Nos.81901282(to XC),82101326(to WG),81870992(to PX),and 81870856the Guangdong Basic and Applied Basic Research Foundation of the Science Foundation,Nos.2024A1515012919(to XC)and 2019A1515011189(to XC)+5 种基金the Central Government Guiding Local Science and Technology Development Projects,No.ZYYD2022C17(to PX)the Key Project of the Guangzhou Health Commission,No.2019-ZD-09(to PX)the Basic and Applied Basic Research of the City and School Jointly Funded Projects,No.20220102397(to QL)the Guangdong College Students Innovation and Entrepreneurship Training Program,No.S202310570017(to WY)the Science and Technology Planning Project of Guangzhou,Nos.2023B03J0631(to PX),2024A03J1152(to XC),and 202102010010(to PX)the Basic Research Program of the Guangzhou Science and Technology Bureau Jointly-funded Dengfeng Hospital Project,No.20232031(to XC).
文摘Parkinson’s disease is the second most common neurodegenerative disorder.ATPase H+transporting V0 subunit A1(ATP6V0A1)is a component of vacuolar H+-ATPase(V-ATPase),an ATP-dependent proton pump.Our previous research identified an association between the ATP6V0A1 rs601999 variant and Parkinson’s disease;however,the underlying mechanisms of ATP6V0A1 in Parkinson’s disease remain elusive.In this study,we generated ATP6V0A1 knockdown and overexpression models and then examined the degeneration of dopaminergic neurons,lysosomal function,and the autophagy-lysosomal pathway using immunohistochemistry,western blotting,and transmission electron microscopy.We found that ATP6V0A1 protected against lysosomal dysfunction,regulated autophagic flux,and decreased phosphorylatedα-synuclein levels in vitro.In vivo,ATP6V0A1 reduced levels ofα-synuclein and phosphorylatedα-synuclein proteins,mitigated degeneration of dopaminergic neurons,and improved motor dysfunction.Collectively,these findings show that ATP6V0A1 plays a protective role in Parkinson’s disease by modulating the autophagy-lysosomal pathway.A correlation between ATP6V0A1 and Parkinson’s disease susceptibility may serve as a biomarker for Parkinson’s disease,while the protective effects of ATP6V0A1 could represent a potential therapeutic target for the disease.
基金supported by the Key Program of National Natural Science Foundation of China(Grant No.41930650)Young Scientists Fund of the National Natural Science Foundation of China(Grant No.42301310).
文摘Sustained and spatially explicit monitoring of the United Nations 2030 Agenda for Sustainable Development is critical for effectively tracking progress toward the global Sustainable Development Goals(SDGs).Although land cover information has long been recognized as an essential component for monitoring SDGs,a standardized scientific framework for identifying and prioritizing land cover related essential variables does not exist.Therefore,we propose a novel expert-and data-driven framework for identifying,refining,and selecting a priority list of Essential Land cover-related Variables for SDGs(ELcV4SDGs).This framework integrates methods including expert knowledge-based analysis,clustering of variables with similar attributes,and quantified index calculation to establish the priority list.Applying the framework to 15 specific SDG indicators,we found that the ELcV4SDGs priority list comprises three main categories,type and structure,pattern and intensity,and process and evolution of land cover,which are further divided into 19 subcategories and ultimately encompass 50 general variables.The ELcV4SDGs will support detailed spatial monitoring and enhance their scientific applications for SDG monitoring and assessment,thereby guiding future SDG priority actions and informing decision-making to advance the 2030 SDGs agenda at local,national,and global levels.
基金supported by the National Natural Science Foundation of China(Grant No.12402139,No.52368070)supported by Hainan Provincial Natural Science Foundation of China(Grant No.524QN223)+3 种基金Scientific Research Startup Foundation of Hainan University(Grant No.RZ2300002710)State Key Laboratory of Structural Analysis,Optimization and CAE Software for Industrial Equipment,Dalian University of Technology(Grant No.GZ24107)the Horizontal Research Project(Grant No.HD-KYH-2024022)Innovative Research Projects for Postgraduate Students in Hainan Province(Grant No.Hys2025-217).
文摘Optimization problems are prevalent in various fields of science and engineering,with several real-world applications characterized by high dimensionality and complex search landscapes.Starfish optimization algorithm(SFOA)is a recently optimizer inspired by swarm intelligence,which is effective for numerical optimization,but it may encounter premature and local convergence for complex optimization problems.To address these challenges,this paper proposes the multi-strategy enhanced crested porcupine-starfish optimization algorithm(MCPSFOA).The core innovation of MCPSFOA lies in employing a hybrid strategy to improve SFOA,which integrates the exploratory mechanisms of SFOA with the diverse search capacity of the Crested Porcupine Optimizer(CPO).This synergy enhances MCPSFOA’s ability to navigate complex and multimodal search spaces.To further prevent premature convergence,MCPSFOA incorporates Lévy flight,leveraging its characteristic long and short jump patterns to enable large-scale exploration and escape from local optima.Subsequently,Gaussian mutation is applied for precise solution tuning,introducing controlled perturbations that enhance accuracy and mitigate the risk of insufficient exploitation.Notably,the population diversity enhancement mechanism periodically identifies and resets stagnant individuals,thereby consistently revitalizing population variety throughout the optimization process.MCPSFOA is rigorously evaluated on 24 classical benchmark functions(including high-dimensional cases),the CEC2017 suite,and the CEC2022 suite.MCPSFOA achieves superior overall performance with Friedman mean ranks of 2.208,2.310 and 2.417 on these benchmark functions,outperforming 11 state-of-the-art algorithms.Furthermore,the practical applicability of MCPSFOA is confirmed through its successful application to five engineering optimization cases,where it also yields excellent results.In conclusion,MCPSFOA is not only a highly effective and reliable optimizer for benchmark functions,but also a practical tool for solving real-world optimization problems.
基金supported by the Natural Science Foundation of China(Nos.22179020,12174057)Foreign Science and Technology Cooperation Project of Fuzhou Science and Technology Bureau(No.2024-Y-006)+3 种基金Natural Science Foundations of Fujian Province(No.2025J01659)Fujian province's“Young Eagle Program”Youth Top Talents ProgramNatural Science Foundation of Guangdong Province(2024A1515012077)Major Talent Programs of Guangdong Province(2023QN10C405)。
文摘Na_(3)V_(2)(PO_(4))_(3)(NVP)is a promising electrode material that exhibits magnetic anisotropy;however,the potential of this magnetic anisotropy to optimize battery performance has been largely unexplored.This study proposes a cost-effective and efficient method to induce the alignment of NVP along the(113)crystal plane by applying a vertical magnetic field during the slurry coating process,thereby enhancing its battery performance.Comprehensive structural characterizations and theoretical analysis elucidate the structure-activity relationship between the preferred crystal orientation and ion transport kinetics,facilitating the formation of more ordered Na+deintercalation pathways in NVP electrodes.This alignment reduces electrode tortuosity,enhances interfacial compatibility,and substantially improves battery performance,particularly in terms of high-rate cycling capability.As a result,the magnetic-field-modulated NVP(NVP-M⊥)electrode exhibits a high capacity retention of85.1%after 500 cycles at 5 C,significantly surpassing that of the pristine electrode.The NVP-M⊥electrode also demonstrates considerable reversible capacity at 40 C and maintains excellent stability under high temperature and prolonged cycling conditions.Furthermore,superior battery performance is observed in the assembled NVP-M⊥‖hard-carbon pouch cell and commercial NVP electrode following magnetic-field modulation,thereby validating the efficacy of this method.Consequently,this magnetic-field-induced crystal-orientation optimization strategy provides an innovative approach for low-cost and highthroughput preparation of high-performance sodium-ion batteries.
基金the funding from the National Natural Science Foundation of China(22275001)the Project of Anhui Provincial Department of Education(2022AH010004,KJ2021ZD0002)。
文摘Electrocatalytic water splitting for green hydrogen is hindered by the slow oxygen evolution reaction(OER).Replacing OER with ethylene glycol oxidation(EGOR)offers an energy-saving route,coproducing valuable chemicals,but requires efficient,stable,and low-cost catalysts.Here,we report a sulfate-doped NiOOH-Ni(OH)_(2)catalyst(denoted S-NiOOH-Ni(OH)_(2)).SO_(4)^(2-)doping significantly boosts intrinsic activity,enabling exceptional EGOR performance(only 1.45 V for~650 mA cm^(-2)).In situ studies reveal that a unique"structural locking"effect stabilizes the highly activeβ-NiOOH phase within the composite,differing from conventional reconstruction.Notably,we successfully scaled up this catalyst to an industrial-scale electrolyzer(anode area:1386 cm^(2))and constructed an integrated electrochemical-conventional chemical coupling system,which stably produced 290 L of hydrogen and kilogram-scale high-purity potassium diformate(KDF)per batch.Techno-economic analysis confirms strong commercial viability,projecting$7.1 million annual profit and a payback period under one year.This work bridges advanced catalyst design to industrial biomass valorization coupled with hydrogen production.
基金supported by the Henan Province Key R&D Project under Grant 241111210400the Henan Provincial Science and Technology Research Project under Grants 252102211047,252102211062,252102211055 and 232102210069+2 种基金the Jiangsu Provincial Scheme Double Initiative Plan JSS-CBS20230474,the XJTLU RDF-21-02-008the Science and Technology Innovation Project of Zhengzhou University of Light Industry under Grant 23XNKJTD0205the Higher Education Teaching Reform Research and Practice Project of Henan Province under Grant 2024SJGLX0126。
文摘Accurate and efficient detection of building changes in remote sensing imagery is crucial for urban planning,disaster emergency response,and resource management.However,existing methods face challenges such as spectral similarity between buildings and backgrounds,sensor variations,and insufficient computational efficiency.To address these challenges,this paper proposes a novel Multi-scale Efficient Wavelet-based Change Detection Network(MewCDNet),which integrates the advantages of Convolutional Neural Networks and Transformers,balances computational costs,and achieves high-performance building change detection.The network employs EfficientNet-B4 as the backbone for hierarchical feature extraction,integrates multi-level feature maps through a multi-scale fusion strategy,and incorporates two key modules:Cross-temporal Difference Detection(CTDD)and Cross-scale Wavelet Refinement(CSWR).CTDD adopts a dual-branch architecture that combines pixel-wise differencing with semanticaware Euclidean distance weighting to enhance the distinction between true changes and background noise.CSWR integrates Haar-based Discrete Wavelet Transform with multi-head cross-attention mechanisms,enabling cross-scale feature fusion while significantly improving edge localization and suppressing spurious changes.Extensive experiments on four benchmark datasets demonstrate MewCDNet’s superiority over comparison methods:achieving F1 scores of 91.54%on LEVIR,93.70%on WHUCD,and 64.96%on S2Looking for building change detection.Furthermore,MewCDNet exhibits optimal performance on the multi-class⋅SYSU dataset(F1:82.71%),highlighting its exceptional generalization capability.
基金supported by the Start-up Fund from Shanghai Jiao Tong University,Shanghai Magnolia Tatent Plan-Pujiang Project(Grant No.24PJA041)the National Natural Science Foundation of China(NSFC,Grant Nos.22025505,22220102002).
文摘Perovskite solar cells(PSCs)have emerged as a revolutionary photovoltaic technology due to their exceptional optoelectronic properties and low-cost solution processability,yet their fabrication typically demands stringent inert conditions to mitigate environmental degradation.However,achieving efficient and stable PSC fabrication in ambient air is crucial for their widespread commercialization,as it significantly reduces manufacturing costs,simplifies process flow,and enables scalable roll-to-roll and printing techniques.The main challenges hindering ambient processing include moisture-induced degradation,oxygen-related oxidation,and humidity-driven variations in crystallization kinetics,which often lead to reduced film quality,defective interfaces,and limited device performance.Recent advancements in ambient-air processing of PSCs present a promising pathway toward scalable and eco-friendly manufacturing,though challenges such as moisture sensitivity,oxygeninduced degradation,and crystallization control remain.This review examines ambient-air effects on perovskite formation,device performance,and stability,alongside strategies for improvement via compositional engineering,solvent optimization,and novel deposition methods.Furthermore,we discuss the progress in lab-scale and large-scale ambient-air fabrication methods,emphasizing their potential for industrial translation.Finally,we outline future research directions to enhance the efficiency,stability,and commercial viability of air-processed PSCs,underscoring their critical role in sustainable energy development.
基金Supported by the National Key Research and Development Program of China(No.2022YFC3502503)the Medical and Health Science and Technology Project of the Zhejiang Provincial Health Commission of China(No.2022PY072).
文摘AIM:To explore the repeatability,reproducibility,and agreement in the measurement of the choroidal vascularity index(CVI)for different swept-source optical coherence tomography(OCT)devices and between OCT and OCT angiography(OCTA)images.METHODS:Two swept-source OCT imaging systems,VG200I and Topcon DRI OCT Triton,were used to capture OCT and OCTA images in triplicate.The first and third images were taken by one operator,and the second image was taken by another operator.The built-in software was used to calculate the CVI from the OCTA images(CVI-OCTA),and a custom-designed algorithm was used to calculate the CVI from the OCT images(CVI-OCT).Repeatability and reproducibility were assessed with the intraclass correlation coefficient(ICC),and agreement between devices and between OCT and OCTA were evaluated with Bland-Altman analysis.RESULTS:Sixty-eight eyes from 35 adults(17 females)were included in the analysis.The average age of the participants was 23.6±2.3y,with an average spherical equivalent refraction of-3.08±2.47 D and an average AL of 25.21±1.20 mm.Both OCT devices demonstrated high repeatability and reproducibility in measuring the CVI-OCTA(all ICCs>0.894 across five choroidal regions)and CVI-OCT(all ICCs>0.838).Furthermore,the between-device agreement in measuring the CVI-OCT was good[mean difference(MD)ranging from-2.32%to-3.07%],but that in measuring the CVI-OCTA was poor(MD,1.48%to-7.43%).Additionally,the between-imaging agreement(CVI-OCTA versus CVI-OCT)was poor for both devices(Triton,MD,6.05%to 12.68%;VG200I,MD,6.67%to 12.09%).CONCLUSION:Both OCT devices and the two analytical methods demonstrate good stability.The inter-device consistency of CVI-OCT is good,while the inter-device consistency of CVI-OCTA and the consistency between the two analytical methods in the same device are both poor.
基金supported by the National Key Research and Development Program of China(No.2023YFA0915400)the National Natural Science Foundation of China(No.22277072,22407099 and 32401161)+3 种基金Shanghai Oriental Talents(QNWS2024055)Shanghai Municipal Science and Technology Commission(No.24ZR1462700)the Science and Technology Development Fund of Pudong Health Bureau of Shanghai(No.PKJ2024-Y40)“Clinic Plus”Outstanding Project(No.2021ZYB009 and No.2021ZYB003)from Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine,and Innovative research team of high-level local universities in Shanghai。
文摘As the central template for protein expression,messenger ribonucleic acid(mRNA)holds immense potential for novel therapeutic strategies.Over the past few decades,mRNA-based therapeutics have demonstrated remarkable efficacy in a range of applications,including epidemic vaccine,cancer vaccine,protein replacement therapy,cytokine therapy,cell therapy and gene editing.Due to the inherent instability of mRNA,the rational design of mRNA structure is the prerequisite for therapeutic utility while effective delivery systems are also essential for in vivo applications.This review focuses on the optimization of mRNA structure and highlights key delivery strategies.It also provides a comprehensive overview of the major applications of mRNA-based strategies.In addition,it highlights the persistent challenges in m RNA therapeutics,particularly in terms of stability,immunogenicity,delivery efficiency and safety.By examining recent advances in mRNA design,delivery and application,this review aims to support ongoing research and development in the field of mRNA-based therapeutics.
基金financially supported by the National Natural Science Foundation of China(Grant Nos.11574057 and12172093)the Guangdong Basic and Applied Basic Research Foundation(Grant No.2021A1515012607)。
文摘In recent years,optoelectronic synapses have garnered significant attention in the field of neuromorphic computing due to their integration of optical sensing and synaptic functions.In this work,we propose an optoelectronic synapse based on IGZO/Bi_(3.25)La_(0.75)Ti_(3)O_(12)heterojunction.Under UV light stimulation,this device can simulate a range of synaptic behaviors,including paired-pulse facilitation,spike-intensity-dependent plasticity,spike-number-dependent plasticity,spike-width-dependent plasticity,and the transition from short-term memory to long-term memory.The majority of perceptible information for humans is acquired through the visual system.The 3×3 retinal morphology synapse arrays constructed based on plasticity behaviors not only integrates light perception and storage functions but also exhibits adaptive adjustment capabilities to address image blurring caused by object movement.At the same time,in CNN recognition training,the device successfully simulates the learning-relearning mechanism of the human brain.These findings highlight the device's immense potential for applications in artificial vision systems.
