Tourism’s link to the Sustainable Development Goals has been a continuing emphasis,adding momentum to longstandingefforts to ensure tourism’s sustainability.Tourism transport is one of the largest sources of anthrop...Tourism’s link to the Sustainable Development Goals has been a continuing emphasis,adding momentum to longstandingefforts to ensure tourism’s sustainability.Tourism transport is one of the largest sources of anthropogenic carbonemissions,driving global ecological change with profound consequences for ecosystem functioning and biodiversity.Large-scale infrastructure projects such as railway expansion are increasingly promoted for their potential to reducetourism-related carbon dioxide emissions,yet their spatial ecological impacts on regional carbon cycles and ecosystemservices remain poorly understood.This study introduces the concept of Tourism Transport Ecological Efficiency(TTEE)to assess the relationship between human infrastructure,carbon emissions,and ecological sustainability.Using panel datafrom China’s railway expansion between 2011 and 2018,the study provides spatially explicit evidence of how transportinfrastructure shapes tourism’s ecological footprint.Results show that non-Eastern regions experienced a greater increasein TTEE(8.7%)compared to Eastern regions(5.5%),highlighting regional disparities in tourism transport ecologicalsustainability.Railway density had a significant positive direct effect on TTEE,particularly pronounced in non-Easternregions.Additionally,a significant indirect effect of railway density in nearby regions was identified.These findings revealthe interconnected ecological impacts of transport systems and underscore the importance of regionally targeted railwayinvestment strategies.By bridging infrastructure development with ecological processes,this study advances understandingof how tourism transport can be aligned with global carbon reduction goals and ecosystem protection.展开更多
We propose an optimization method based on evolutionary computation for the design of broadband high-efficiency current-biased reverse load-modulation power amplifiers(CB-RLM PAs).First,given the reverse load-modulati...We propose an optimization method based on evolutionary computation for the design of broadband high-efficiency current-biased reverse load-modulation power amplifiers(CB-RLM PAs).First,given the reverse load-modulation characteristics of CB-RLM PAs,a comprehensive objective function is proposed that combines multi-state impedance trajectory constraints with in-band performance deviations.For the saturation and 6 dB power back-off(PBO)states,approximately optimal impedance regions on the Smith chart are derived using impedance constraint circles based on load-pull simulations.These regions are used together with in-band performance deviations(e.g.,saturated efficiency,6 dB PBO efficiency,and saturated output power)for matching network optimization and design.Second,a multi-objective evolutionary algorithm based on decomposition with adaptive weights,neighborhood,and global replacement is integrated with harmonic balance simulations to optimize design parameters and evaluate performance.Finally,to validate the proposed method,a broadband CB-RLM PA operating from 0.6 to 1.8 GHz is designed and fabricated.Measurement results show that the efficiencies at saturation,6 dB PBO,and 8 dB PBO all exceed 43.6%,with saturated output power being maintained at 40.9–41.5 dBm,which confirms the feasibility and effectiveness of the proposed broadband high-efficiency CB-RLM PA optimization and design approach.展开更多
This study aims to explore how the Wei River Basin can enhance the efficiency of horizontal ecological compensation to promote high-quality and sustainable development in the Yellow River Basin.To achieve this,a four-...This study aims to explore how the Wei River Basin can enhance the efficiency of horizontal ecological compensation to promote high-quality and sustainable development in the Yellow River Basin.To achieve this,a four-stage DEA(Data Envelopment Analysis)method was employed to evaluate the efficiency of ecological compensation in six prefecture-level cities within the Wei River Basin from 2001 to 2022.In addition,the K-prototype clustering analysis method was integrated to assess the regional differences in ECE(ecological compensation efficiency).The findings indicate:(1)the ecological compensation efficiency in the upstream areas of the Wei River Basin is significantly higher than in the downstream regions;(2)the influence of factors such as the proportion of the tertiary industry,population density and residents’disposable income on the efficiency of ecological compensation is significant;(3)after excluding environmental factors,the overall ecological compensation efficiency showed a significant improvement.Based on these insights,it is recommended that the provinces of Shaanxi and Gansu further establish a robust compensation fund operation mechanism,build a cross-regional ecological compensation upstream-downstream coordination system,and strengthen inter-basin economic cooperation mechanisms to promote dual-driven development through technological advancement and scale benefits,thereby advancing ecological protection and sustainable development in the Wei River Basin.展开更多
Evaluating the effectivenes s of forest restoration projects is crucial for designing adaptive restoration strategies.However,existing studies have primarily focused on ecological outcomes while overlooking cost input...Evaluating the effectivenes s of forest restoration projects is crucial for designing adaptive restoration strategies.However,existing studies have primarily focused on ecological outcomes while overlooking cost inputs.This gap can lead to increased uncertainties in restoration planning.Here we investigated forest dynamics in China's Upper Yangtze River Basin(UYRB)using kernel Normalized Difference Vegetation Index(kNDVI),Leaf Area Index(LAI),Gross Primary Productivity(GPP),Ku-band Vegetation Optical Depth(Ku-VOD)time series and climate data from1982 to 2020.Subsequently,we employed a residual trend analysis integrating temporal effects to determine the relative contributions of climate change and human activities to forest dynamics before and after the implementation of forest restoration engineering in 1998.Additionally,we developed an Afforestation Efficiency Index(AEI)to quantitatively assess the cost efficiency of afforestation projects.Results indicated that forest in the UYRB showed sustained increases during 1982-2020,with most areas experiencing greater growth after 1998 than before.Temporal effects of climatic factors influenced over 42.7%of the forest,and incorporating time-lag and cumulative effects enhanced climate-based explanations of forest variations by 1.61-24.73%.Human activities emerged as the dominant driver of forest dynamics post 1998,whereas climate variables predominated before this period.The cost-effectiveness of forest restoration projects in the UYRB typically ranges from moderate to high,with higher success predominantly observed in the northeastern and eastern counties,while the central,western,and northwestern counties mainly showed relatively low efficiency.These findings stress the need for assessing forest restoration outcomes from both ecological and cost perspectives,and can offer valuable insights for optimizing the layout of forest restoration initiatives in the UYRB.展开更多
The goal of the present work is to demonstrate the potential of Artificial Neural Network(ANN)-driven Genetic Algorithm(GA)methods for energy efficiency and economic performance optimization of energy efficiency measu...The goal of the present work is to demonstrate the potential of Artificial Neural Network(ANN)-driven Genetic Algorithm(GA)methods for energy efficiency and economic performance optimization of energy efficiency measures in a multi-family house building in Greece.The energy efficiency measures include different heating/cooling systems(such as low-temperature and high-temperature heat pumps,natural gas boilers,split units),building envelope components for floor,walls,roof and windows of variable heat transfer coefficients,the installation of solar thermal collectors and PVs.The calculations of the building loads and investment and operating and maintenance costs of the measures are based on the methodology defined in Directive 2010/31/EU,while economic assumptions are based on EN 15459-1 standard.Typically,multi-objective optimization of energy efficiency measures often requires the simulation of very large numbers of cases involving numerous possible combinations,resulting in intense computational load.The results of the study indicate that ANN-driven GA methods can be used as an alternative,valuable tool for reliably predicting the optimal measures which minimize primary energy consumption and life cycle cost of the building with greatly reduced computational requirements.Through GA methods,the computational time needed for obtaining the optimal solutions is reduced by 96.4%-96.8%.展开更多
Towards the development of highly efficient electrochromic coatings,the crystallinity,morphology(e.g.size and shape)of electrochromic nanomaterials,and their charge insertion capacities play a significant role.Herein,...Towards the development of highly efficient electrochromic coatings,the crystallinity,morphology(e.g.size and shape)of electrochromic nanomaterials,and their charge insertion capacities play a significant role.Herein,we report the structure-dependent colouration effciency in electrochromic coatings based on the use of 0D,1D and 2D tungsten trioxide(WO_(3))nanostructures.A series of WO_(3)with different nanostructures were prepared and used as working electrodes to fabricate electrochromic devices for smart windows applications.Facile spray coating was applied on fluorine-doped tin oxide(FTO)substrate to make~70%transparent working electrodes to investigate their charge insertion capacities,electrochromic active surface area,and colouration efficiency.Results showed that the 2D WO_(3)nanoflakes displayed the highest diffusion coefficient for the intercalation of 1.52×10^(-10)cm^(2)/s with an increased electrochemical active surface area of 25.10 mF/cm^(2),a large modulation of optical reflectance(42.63%)with 3.79 s shorter response time for bleaching and a greater colouration efficiency(CE)value(89.29 cm^(2)/C)at 700 nm compared to the CE value for 1D WO_(3)(of 22 cm^(2)/C)and 0D WO_(3)(8 cm^(2)/C).The outcome of this study provides a new insight and valuable contribution to design an efficient electrochromic coating by controlling and optimising the nanostructures of selective electrochromic materials.展开更多
In maize production,the development of density-tolerant and lodging-resistant varieties has made dense planting an effective strategy for achieving high and stable yields,with superior hybrids serving as a prerequisit...In maize production,the development of density-tolerant and lodging-resistant varieties has made dense planting an effective strategy for achieving high and stable yields,with superior hybrids serving as a prerequisite for successful highdensity cultivation.However,the photosynthetic mechanisms underlying improved density tolerance in maize hybrids released across different eras in China remain unclear.This study investigates 40 years of breeding progress toward enhanced photosynthetic traits under varying planting densities and elucidates the physiological and ecological bases of improved density tolerance in maize hybrids.A three-year field experiment was conducted from 2019 to 2021 to compare eight major Chinese hybrids from four decadal cohorts under three planting densities:45,000(D1),67,500(D2),and 90,000(D3)plants ha^(-1).At high density(D3),modern hybrids exhibited a more optimal canopy architecture and superior leaf photosynthetic performance compared to older hybrids,despite a slight reduction in specific leaf nitrogen.Notably,modern hybrids(2000s)were able to maintain higher net photosynthetic rates and photosynthetic nitrogen use efficiency(PNUE)at D3,resulting in the highest grain yield(GY),which was 118.47%greater than that of older hybrids(1970s).Leaf area duration after anthesis,total chlorophyll content,key photosynthetic enzyme activities,and maximum quantum efficiency of PSII photochemistry were all positively correlated with GY.Among these,PNUE showed the strongest correlation with grain yield and thus represents a key indicator for optimizing maize hybrids.Based on these findings,breeders should continue selecting hybrids under high-density and suboptimal conditions,focusing on optimizing population architecture and enhancing photosynthetic capacity while fine-tuning leaf nitrogen status to develop high-yielding,density-tolerant hybrids capable of sustaining long-term increases in maize grain yield.展开更多
Oil and gas pipelines are a vital long-distance liquid and natural gas carrier,but their functionality is being assessed from a two-fold perspective of power economy and environmentalism.This review concurs on the way...Oil and gas pipelines are a vital long-distance liquid and natural gas carrier,but their functionality is being assessed from a two-fold perspective of power economy and environmentalism.This review concurs on the way these outcomes are interdependent throughout the pipeline lifecycle by contending that the efficiency,emissions,reliability,and environmental risk are jointly determined through the shared design decisions,operating plans,integrity platforms,and monitoring and response plans.Our initial conceptualization is pipeline systems and performance measures,which are characterized by boundary and comparability issues of particular energy consumption,methane intensity,and release consequence measures.Next,we look at hydraulic and station optimization,focusing on the need to look at the importance of equipment performance at part loads,constraints consciousness dispatch,and transient management to prevent the erosion of integrity levels by efficiency gains.The integrity management is appraised as one of the key enablers of stewardship that connects the corrosion prevention,in-line inspection and verification,and the risk-based mitigation to less likely failure,less disruptive interventions,and reduced emissions during maintenance.We compare the leak and spill prevention,detection,quantification,and response of the SCADA(supervisory control and data acquisition)-based computational monitoring,distributed sensing,as well as aerial/satellite,focusing on the validation,characterization of uncertainty,and the operational parameters modulating the time-to-detect and isolation performance.Environmental impacts of the lifecycle,not related to releases,are explained,such as routing and construction disturbance,management of right-of-way,station externalities,decommissioning,and climate resilience.Lastly,we assess new technologies,such as continuous monitoring networks,electrification,superior materials,and multi-objective decision-making that collaborates to increase energy,reliability,and environmental performance in heterogeneous pipeline networks.展开更多
The development of wheat cultivars with improved nitrogen(N),phosphorus(P),and potassium(K)use efficiency is essential for sustainable agriculture.Genetic dissection and identification of causative genes underlying nu...The development of wheat cultivars with improved nitrogen(N),phosphorus(P),and potassium(K)use efficiency is essential for sustainable agriculture.Genetic dissection and identification of causative genes underlying nutrient use efficiency represent a key strategy toward this goal.We conducted an extensive genome-wide association study(GWAS)using a panel of 431 wheat cultivars,identifying 1,659 significant single-nucleotide polymorphisms(SNPs)(LOD>5)through genotyping-by-sequencing.This analysis revealed 534 quantitative trait loci(QTLs)associated with 12 nutrient use efficiency traits across five distinct environments,among which 14 QTLs were consistently detected in at least three environments.Notably,meta-QTL analysis,showed that QTL80(72.12–74.24 Mb,chr2A),QTL387(32.88–33.56 Mb,chr6A),and QTL500(535.53–540.80 Mb,chr7B)exhibit clear co-localization with MQTL-2A-2,MQTL-6A-1,and MQTL-7B-2,respectively.This overlap highlights their robustness across diverse environmental conditions.Within these regions,critical candidate genes-including members of the bZIP transcription factor family and a potassium transporter gene-were identified in relation to nutrient use efficiency.Furthermore,a novel locus,QTL234,was discovered,harboring key candidate genes such as dof zinc finger protein,Ankyrin repeat family protein,and cytochrome P450.To validate the SNP within QTL234 associated with nitrogen harvest index(NHI),we developed a dCAPS marker for AX-109095537.These findings demonstrate the effectiveness of high-resolution SNP-based GWAS in rapidly pinpointing promising candidate genes.They also establish a foundation for large-scale QTL fine mapping,candidate gene validation,and the development of functional markers essential for enhancing nutrient use efficiency in wheat breeding programs.展开更多
A nonfused ring electron acceptor(NFREA),designated as TT-Ph-C6,has been synthesized with the aim of enhancing the power conversion efficiency(PCE)of organic solar cells(OSCs).By integrating asymmetric phenylalkylamin...A nonfused ring electron acceptor(NFREA),designated as TT-Ph-C6,has been synthesized with the aim of enhancing the power conversion efficiency(PCE)of organic solar cells(OSCs).By integrating asymmetric phenylalkylamino side groups,TT-Ph-C6 demonstrates excellent solubility and its crystal structure exhibits compact packing structures with a three-dimensional molecular stacking network.These structural attributes markedly promote exciton diffusion and charge carrier mobility,particularly advantageous for the fabrication of thick-film devices.TT-Ph-C6-based devices have attained a PCE of 18.01%at a film thickness of 100 nm,and even at a film thickness of 300 nm,the PCE remains at 14.64%,surpassing that of devices based on 2BTh-2F.These remarkable properties position TT-Ph-C6 as a highly promising NFREA material for boosting the efficiency of OSCs.展开更多
With the continuous development of science and technology and the growing severity of energy issues,load-sensitive drive systems have attracted significant attention in the electro–hydraulic servo field due to their ...With the continuous development of science and technology and the growing severity of energy issues,load-sensitive drive systems have attracted significant attention in the electro–hydraulic servo field due to their high energy efficiency.Currently,most research primarily focuses on introducing load-sensitive valves to achieve load-following through hydraulic-mechanical feedback.This approach has partially achieved the energy-saving goal,but issues such as reduced dynamic response speed and limited load-sensitive range due to mechanical structures remain.This paper proposes an active load-sensitive variable displacement drive system that no longer relies on mechanical structures for load-sensitive adjustment.And multiple energy efficiency mapping relationships are designed to complete the system's load-sensitive adjustment,thereby reducing throttling losses.Additionally,a dual-loop anti-disturbance control method based on energy efficiency mapping is proposed.An appropriate Lyapunov function is selected to prove that the control system ultimately tends to be bounded and stable,successfully solving the multiplicative nonlinear coupling control problem caused by the variable mechanism,and improving the system's position control accuracy.Experimental results show that under this control method,the active loadsensitive drive system can reduce flow by up to 60 % compared to the traditional fixed displacement hydraulic motor drive system.Compared to conventional PID control,the proposed method can improve control accuracy by up to 50 %,effectively reducing energy consumption while improving the position control accuracy of the active load-sensitive variable motor drive system.展开更多
UAV-mounted intelligent reflecting surface(IRS)helps address the line-of-sight(LoS)blockage between sensor nodes(SNs)and the fusion center(FC)in Internet of Things(IoT).This paper considers an IoT assisted by multiple...UAV-mounted intelligent reflecting surface(IRS)helps address the line-of-sight(LoS)blockage between sensor nodes(SNs)and the fusion center(FC)in Internet of Things(IoT).This paper considers an IoT assisted by multiple UAVs-mounted IRS(U-IRS),where the data from ground SNs are transmitted to the FC.In practice,energy efficiency(EE)and mission completion time are crucial metrics for evaluating system performance and operational costs.Recognizing their importance during data collection,we formulate a multi-objective optimization problem to maximize EE and minimize total mission completion time simultaneously.To characterize this tradeoff while considering optimization objective consistency,we construct an optimization problem that minimizes the weighted sum of the total mission completion time and the reciprocal of EE.Due to the non-convex nature of the formulated problem,obtaining optimal solutions is generally challenging.To tackle this issue,we decompose it into three subproblems:UAV-SN association,number of reflecting elements allocation,andUAVtrajectory optimization.An iterative algorithmcombining genetic algorithm,CS-BJ algorithm,and successive convex approximation technique is proposed to solve these sub-problems.Simulation results demonstrate that when the transmitted data amount is 10 and 30Mbits,compared to the static collection benchmark(the UAV hovers directly above each SN),the EE of the proposed method improves by more than 10.4% and 5.2%,while the total mission completion time is reduced by more than 5.4% and 3.3%,respectively.展开更多
Human-modified landscapes serve as ecological filters,determining species distributions and persistence.Energy-efficient technologies,while crucial for climate change mitigation,represent novel filters whose impacts o...Human-modified landscapes serve as ecological filters,determining species distributions and persistence.Energy-efficient technologies,while crucial for climate change mitigation,represent novel filters whose impacts on synanthropic biodiversity are poorly understood.We investigated how attached sunspaces,a widely adopted energy-saving technology in rural China,filter the distribution of two ecologically important aerial insectivores,the Barn Swallow(Hirundo rustica)and Red-rumped Swallow(Cecropis daurica).We surveyed 106 villages during the 2024 and 2025 breeding seasons and recorded a total of 2323 nests(612 Barn Swallow,1711 Red-rumped Swallow).Using Generalized Linear Models,we assessed their responses to building characteristics,landscape composition and the prevalence of sunspaces.Barn Swallow nests preferred perches at the base and single attachment faces,while Red-rumped Swallow nests favored multiple attachment faces and avoided long shelters.The proportion of buildings with sunspaces acted as a strong positive filter for Barn Swallow nest abundance(+24%)but as a significant negative filter for Red-rumped Swallow(-51%).Other landscape variables(e.g.,human population density,NDVI,Human Footprint Index)were not significant.This study demonstrates that specific architectural innovations can act as powerful ecological filters,leading to divergent distributional outcomes for sympatric species reliant on anthropogenic structures.Our findings reveal a critical trade-off in sustainable development:energy efficiency gains may inadvertently reduce habitat suitability for certain species.To reconcile climate and biodiversity goals in rural landscapes,we advocate integrating species-specific habitat requirements into building design.We propose actionable modifications to sunspaces to support swallows without compromising energy savings.These principles provide a template for mitigating the distributional impacts of green infrastructure globally.展开更多
We here report a high system detection efficiency(SDE)superconducting single-photon detector(SSPD)at 2μm wavelength.The device integrates a SiO_(2)/Ta_(2)O_(5)distributed Bragg reflector(DBR)and a sandwich-structured...We here report a high system detection efficiency(SDE)superconducting single-photon detector(SSPD)at 2μm wavelength.The device integrates a SiO_(2)/Ta_(2)O_(5)distributed Bragg reflector(DBR)and a sandwich-structured double-layer NbN nanowire to enhance the optical absorption efficiency.A cold development technique is implemented to optimize the superconducting nanowires with sub-40-nm linewidths,thus enhancing the intrinsic detection efficiency(IDE).The fabricated SSPD shows an SDE exceeding 90% at 2μm wavelength.Moreover,the detector allows an operational working temperature of 2.2 K provided by a compact GM cryo-cooler.This detector delivers excellent performance at the 2μm wavelength,and its optimized structural design implies promising potential for extending detection toward longer infrared bands.It thus holds value for advancing high-sensitivity quantum technologies,mid-infrared optical communications,and dark matter detection research.展开更多
Hard carbon is a vital anode material for sodium-ion batteries;however,the nonuniform growth of solid electrolyte interphase(SEI)film substantially diminishes its initial coulombic efficiency(ICE)and cycle life.The ch...Hard carbon is a vital anode material for sodium-ion batteries;however,the nonuniform growth of solid electrolyte interphase(SEI)film substantially diminishes its initial coulombic efficiency(ICE)and cycle life.The chemical and morphological properties of surface highly influence the electrode/electrolyte interfacial reactions.In this study,we have tuned orbital hybridization states forming an interface enriched with sp^(2) hybridized carbon(sp^(2)-C),which decreases the binding energy to solvent molecules and inhibits excessive solvent decomposition during SEI formation.Benefiting from successfully constructed inorganic-rich SEI,the ICE increased to 91%and sodium storage capacity reached 346 mAh/g.Besides,the capacity retention rate was 90.7%after 700 cycles at 1 A/g higher than pristine electrode(83.8%).展开更多
Hydraulic theory predicts a positive coupling between leaf hydraulic conductance(K_(leaf))and stomatal conductance(g_(s));however,this theory has not been fully supported by observations,and underlying mechanisms are ...Hydraulic theory predicts a positive coupling between leaf hydraulic conductance(K_(leaf))and stomatal conductance(g_(s));however,this theory has not been fully supported by observations,and underlying mechanisms are poorly understood.Partitioning K_(leaf)into inside-xylem(K_(x))and outside-xylem(K_(ox))components offers a refined framework for elucidating the regulation of g_(s) by leaf hydraulics.While optimal planting density may enhance water use efficiency(WUE)through modulation of g_(s),corresponding changes in leaf hydraulic properties and their influence on gas exchange remain unclear.We examined relationships among K_(x),K_(ox),g_(s),leaf photosynthetic rate(A_(N)),and WUE,and analyzed the structural determinants of K_(ox)in cotton grown under eight planting densities:12,18,24,36,48,60,72,and 84 plants m^(–2).Results showed that as planting density increased,K_(leaf)and A_(N) remained stable,whereas K_(ox)and g_(s) declined significantly.Leaf thickness and the volume fraction of inter-cellular air space were key structural factors influencing K_(ox).Neither K_(leaf)nor K_(x)correlated with A_(N) or g_(s);however,K_(ox)exhibited a significant positive correlation with g_(s).Furthermore,K_(ox)was negatively correlated with WUE.These findings indicate that K_(ox)modulates g_(s) to minimize water loss without compromising A_(N),thereby enhancing WUE in cotton across varying planting densities.展开更多
Lodging is a primary factor limiting rice grain yield.Achieving synergistic improvements in grain yield and nitrogen use efficiency(NUE)without increasing lodging risk has been a global research priority.In this study...Lodging is a primary factor limiting rice grain yield.Achieving synergistic improvements in grain yield and nitrogen use efficiency(NUE)without increasing lodging risk has been a global research priority.In this study,two rice cultivars-Yongyou 2640(indica–japonica hybrid rice)and Jinxiangyu 1(inbred japonica rice)-were evaluated in field experiments conducted over two growing seasons.Six nitrogen management strategies were implemented:no nitrogen(T1),conventional urea(T2),controlled-release nitrogen(CRN)(T3),reduction of CRN(T4),CRN combined with single basal application of conventional urea(T5),and CRN combined with split applications of conventional urea(T6).Compared with T2,the integrated nitrogen strategies(T5 and T6)increased NUE by 4.89–5.69%and grain yield by 3.41–4.65%.These treatments also enhanced structural integrity of the second basal internode,evidenced by increased carbohydrate content,internode breaking strength,epidermal silicon layer thickness,number of large and small vascular bundles,and thickness of both parenchymatous and mechanical tissues.Concurrently,internode length,bending moment,and lodging index were reduced.Collectively,these findings indicate that integrating CRN with conventional urea improves morphological,mechanical,physicochemical,and anatomical properties of the second basal internode,thereby enhancing stem strength and enabling high yield and NUE without compromising lodging resistance.展开更多
The electric arc furnace(EAF)offers advantages in energy savings,environmental protection,and high efficiency by using scrap as the primary charge and utilizing a high-temperature electric arc as the main heat source ...The electric arc furnace(EAF)offers advantages in energy savings,environmental protection,and high efficiency by using scrap as the primary charge and utilizing a high-temperature electric arc as the main heat source for steel smelting.The improvement of EAF smelting efficiency is primarily influenced by three key factors:the heat transfer efficiency of the electric arc,the intensity of molten pool stirring,and the melting rate of scrap.The arc heat transfer efficiency determines the energy input efficiency and the maximum smelting temperature of the EAF.Molten pool stirring intensity plays a crucial role in ensuring uniformity in temperature,composition,and flow within the furnace,preventing the formation of dead zones.The scrap melting rate is a decisive factor in EAF smelting efficiency,largely governed by the coupling of heat and mass transfer.Thus,understanding not only the rapid melting mechanism of scrap but also the impact of arc heat transfer and molten pool stirring is essential to optimizing the smelting process.Advancing research in these areas is critical for shortening the EAF smelting cycle,reducing energy consumption,lowering costs,and improving resource utilization.Therefore,recent achievements and development trends in fundamental research on enhancing EAF smelting efficiency were summarized.展开更多
Managing massive data flows effectively and resolving spectrum shortages are two challenges that smart grid communication networks(SGCN)must overcome.To address these problems,we provide a combined optimization approa...Managing massive data flows effectively and resolving spectrum shortages are two challenges that smart grid communication networks(SGCN)must overcome.To address these problems,we provide a combined optimization approach that makes use of cognitive radio(CR)and non-orthogonal multiple access(NOMA)technologies.Our work focuses on using user pairing(UP)and power allocation(PA)techniques to maximize energy efficiency(EE)in SGCN,particularly within neighbourhood area networks(NANs).We develop a joint optimization problem that takes into account the real-world limitations of a CR-NOMA setting.This problem is NP-hard,nonlinear,and nonconvex by nature.To address the computational complexity of the problem,we use the block coordinate descent(BCD)method,which breaks the problem into UP and PA subproblems.Initially,we proposed the zebra-optimization user pairing(ZOUP)algorithm to tackle the UP problem,which outperforms both orthogonal multiple access(OMA)and non-optimized NOMA(UPWO)by 78.8%and13.6%,respectively,at a SNR of 15 dB.Based on the ZOUP pairs,we subsequently proposed the PA approach,i.e.,ZOUPPA,which significantly outperforms UPWO and ZOUP by 53.2%and 25.4%,respectively,at an SNR of 15 dB.A detailed analysis of key parameters,including varying SNRs,power allocation constants,path loss exponents,user density,channel availability,and coverage radius,underscores the superiority of our approach.By facilitating the effective use of communication resources in SGCN,our research opens the door to more intelligent and energy-efficient grid systems.Our work tackles important issues in SGCN and lays the groundwork for future developments in smart grid communication technologies by combining modern optimization approaches with CR-NOMA.展开更多
As Hangzhou East Railway Station uses technology to ease post-arrival travel anxiety,Shenzhen Bay maintains human-nature harmony through thoughtful governance,and an institutional safety net is built for travelers’ha...As Hangzhou East Railway Station uses technology to ease post-arrival travel anxiety,Shenzhen Bay maintains human-nature harmony through thoughtful governance,and an institutional safety net is built for travelers’haste and oversight at railway ticket purchase,a new landscape of modern travel is sketched.展开更多
文摘Tourism’s link to the Sustainable Development Goals has been a continuing emphasis,adding momentum to longstandingefforts to ensure tourism’s sustainability.Tourism transport is one of the largest sources of anthropogenic carbonemissions,driving global ecological change with profound consequences for ecosystem functioning and biodiversity.Large-scale infrastructure projects such as railway expansion are increasingly promoted for their potential to reducetourism-related carbon dioxide emissions,yet their spatial ecological impacts on regional carbon cycles and ecosystemservices remain poorly understood.This study introduces the concept of Tourism Transport Ecological Efficiency(TTEE)to assess the relationship between human infrastructure,carbon emissions,and ecological sustainability.Using panel datafrom China’s railway expansion between 2011 and 2018,the study provides spatially explicit evidence of how transportinfrastructure shapes tourism’s ecological footprint.Results show that non-Eastern regions experienced a greater increasein TTEE(8.7%)compared to Eastern regions(5.5%),highlighting regional disparities in tourism transport ecologicalsustainability.Railway density had a significant positive direct effect on TTEE,particularly pronounced in non-Easternregions.Additionally,a significant indirect effect of railway density in nearby regions was identified.These findings revealthe interconnected ecological impacts of transport systems and underscore the importance of regionally targeted railwayinvestment strategies.By bridging infrastructure development with ecological processes,this study advances understandingof how tourism transport can be aligned with global carbon reduction goals and ecosystem protection.
基金supported by the National Natural Science Foundation of China(Nos.62171204,62171129,62001192).
文摘We propose an optimization method based on evolutionary computation for the design of broadband high-efficiency current-biased reverse load-modulation power amplifiers(CB-RLM PAs).First,given the reverse load-modulation characteristics of CB-RLM PAs,a comprehensive objective function is proposed that combines multi-state impedance trajectory constraints with in-band performance deviations.For the saturation and 6 dB power back-off(PBO)states,approximately optimal impedance regions on the Smith chart are derived using impedance constraint circles based on load-pull simulations.These regions are used together with in-band performance deviations(e.g.,saturated efficiency,6 dB PBO efficiency,and saturated output power)for matching network optimization and design.Second,a multi-objective evolutionary algorithm based on decomposition with adaptive weights,neighborhood,and global replacement is integrated with harmonic balance simulations to optimize design parameters and evaluate performance.Finally,to validate the proposed method,a broadband CB-RLM PA operating from 0.6 to 1.8 GHz is designed and fabricated.Measurement results show that the efficiencies at saturation,6 dB PBO,and 8 dB PBO all exceed 43.6%,with saturated output power being maintained at 40.9–41.5 dBm,which confirms the feasibility and effectiveness of the proposed broadband high-efficiency CB-RLM PA optimization and design approach.
基金funded by the Gansu Soft Science Planning Project(Grant No.25JRZA170).
文摘This study aims to explore how the Wei River Basin can enhance the efficiency of horizontal ecological compensation to promote high-quality and sustainable development in the Yellow River Basin.To achieve this,a four-stage DEA(Data Envelopment Analysis)method was employed to evaluate the efficiency of ecological compensation in six prefecture-level cities within the Wei River Basin from 2001 to 2022.In addition,the K-prototype clustering analysis method was integrated to assess the regional differences in ECE(ecological compensation efficiency).The findings indicate:(1)the ecological compensation efficiency in the upstream areas of the Wei River Basin is significantly higher than in the downstream regions;(2)the influence of factors such as the proportion of the tertiary industry,population density and residents’disposable income on the efficiency of ecological compensation is significant;(3)after excluding environmental factors,the overall ecological compensation efficiency showed a significant improvement.Based on these insights,it is recommended that the provinces of Shaanxi and Gansu further establish a robust compensation fund operation mechanism,build a cross-regional ecological compensation upstream-downstream coordination system,and strengthen inter-basin economic cooperation mechanisms to promote dual-driven development through technological advancement and scale benefits,thereby advancing ecological protection and sustainable development in the Wei River Basin.
基金supported by the National Natural Science Foundation of China(42071238)the Jiuzhaigou Post-Disaster Restoration and Reconstruction Program(5132202020000046)+1 种基金the Second Tibetan Plateau Scientific Expedition and Research Program(STEP)the Ministry of Science and Technology of the People's Republic of China(2019QZKK0402)。
文摘Evaluating the effectivenes s of forest restoration projects is crucial for designing adaptive restoration strategies.However,existing studies have primarily focused on ecological outcomes while overlooking cost inputs.This gap can lead to increased uncertainties in restoration planning.Here we investigated forest dynamics in China's Upper Yangtze River Basin(UYRB)using kernel Normalized Difference Vegetation Index(kNDVI),Leaf Area Index(LAI),Gross Primary Productivity(GPP),Ku-band Vegetation Optical Depth(Ku-VOD)time series and climate data from1982 to 2020.Subsequently,we employed a residual trend analysis integrating temporal effects to determine the relative contributions of climate change and human activities to forest dynamics before and after the implementation of forest restoration engineering in 1998.Additionally,we developed an Afforestation Efficiency Index(AEI)to quantitatively assess the cost efficiency of afforestation projects.Results indicated that forest in the UYRB showed sustained increases during 1982-2020,with most areas experiencing greater growth after 1998 than before.Temporal effects of climatic factors influenced over 42.7%of the forest,and incorporating time-lag and cumulative effects enhanced climate-based explanations of forest variations by 1.61-24.73%.Human activities emerged as the dominant driver of forest dynamics post 1998,whereas climate variables predominated before this period.The cost-effectiveness of forest restoration projects in the UYRB typically ranges from moderate to high,with higher success predominantly observed in the northeastern and eastern counties,while the central,western,and northwestern counties mainly showed relatively low efficiency.These findings stress the need for assessing forest restoration outcomes from both ecological and cost perspectives,and can offer valuable insights for optimizing the layout of forest restoration initiatives in the UYRB.
文摘The goal of the present work is to demonstrate the potential of Artificial Neural Network(ANN)-driven Genetic Algorithm(GA)methods for energy efficiency and economic performance optimization of energy efficiency measures in a multi-family house building in Greece.The energy efficiency measures include different heating/cooling systems(such as low-temperature and high-temperature heat pumps,natural gas boilers,split units),building envelope components for floor,walls,roof and windows of variable heat transfer coefficients,the installation of solar thermal collectors and PVs.The calculations of the building loads and investment and operating and maintenance costs of the measures are based on the methodology defined in Directive 2010/31/EU,while economic assumptions are based on EN 15459-1 standard.Typically,multi-objective optimization of energy efficiency measures often requires the simulation of very large numbers of cases involving numerous possible combinations,resulting in intense computational load.The results of the study indicate that ANN-driven GA methods can be used as an alternative,valuable tool for reliably predicting the optimal measures which minimize primary energy consumption and life cycle cost of the building with greatly reduced computational requirements.Through GA methods,the computational time needed for obtaining the optimal solutions is reduced by 96.4%-96.8%.
基金the funding by the ARC Research Hub for Advanced Manufacturing with 2D Materials(ARC IH210100025)。
文摘Towards the development of highly efficient electrochromic coatings,the crystallinity,morphology(e.g.size and shape)of electrochromic nanomaterials,and their charge insertion capacities play a significant role.Herein,we report the structure-dependent colouration effciency in electrochromic coatings based on the use of 0D,1D and 2D tungsten trioxide(WO_(3))nanostructures.A series of WO_(3)with different nanostructures were prepared and used as working electrodes to fabricate electrochromic devices for smart windows applications.Facile spray coating was applied on fluorine-doped tin oxide(FTO)substrate to make~70%transparent working electrodes to investigate their charge insertion capacities,electrochromic active surface area,and colouration efficiency.Results showed that the 2D WO_(3)nanoflakes displayed the highest diffusion coefficient for the intercalation of 1.52×10^(-10)cm^(2)/s with an increased electrochemical active surface area of 25.10 mF/cm^(2),a large modulation of optical reflectance(42.63%)with 3.79 s shorter response time for bleaching and a greater colouration efficiency(CE)value(89.29 cm^(2)/C)at 700 nm compared to the CE value for 1D WO_(3)(of 22 cm^(2)/C)and 0D WO_(3)(8 cm^(2)/C).The outcome of this study provides a new insight and valuable contribution to design an efficient electrochromic coating by controlling and optimising the nanostructures of selective electrochromic materials.
基金supported by the National Natural Science Foundation of China(32071960)the National Key Research and Development Program of China(2018YFD0300603)。
文摘In maize production,the development of density-tolerant and lodging-resistant varieties has made dense planting an effective strategy for achieving high and stable yields,with superior hybrids serving as a prerequisite for successful highdensity cultivation.However,the photosynthetic mechanisms underlying improved density tolerance in maize hybrids released across different eras in China remain unclear.This study investigates 40 years of breeding progress toward enhanced photosynthetic traits under varying planting densities and elucidates the physiological and ecological bases of improved density tolerance in maize hybrids.A three-year field experiment was conducted from 2019 to 2021 to compare eight major Chinese hybrids from four decadal cohorts under three planting densities:45,000(D1),67,500(D2),and 90,000(D3)plants ha^(-1).At high density(D3),modern hybrids exhibited a more optimal canopy architecture and superior leaf photosynthetic performance compared to older hybrids,despite a slight reduction in specific leaf nitrogen.Notably,modern hybrids(2000s)were able to maintain higher net photosynthetic rates and photosynthetic nitrogen use efficiency(PNUE)at D3,resulting in the highest grain yield(GY),which was 118.47%greater than that of older hybrids(1970s).Leaf area duration after anthesis,total chlorophyll content,key photosynthetic enzyme activities,and maximum quantum efficiency of PSII photochemistry were all positively correlated with GY.Among these,PNUE showed the strongest correlation with grain yield and thus represents a key indicator for optimizing maize hybrids.Based on these findings,breeders should continue selecting hybrids under high-density and suboptimal conditions,focusing on optimizing population architecture and enhancing photosynthetic capacity while fine-tuning leaf nitrogen status to develop high-yielding,density-tolerant hybrids capable of sustaining long-term increases in maize grain yield.
文摘Oil and gas pipelines are a vital long-distance liquid and natural gas carrier,but their functionality is being assessed from a two-fold perspective of power economy and environmentalism.This review concurs on the way these outcomes are interdependent throughout the pipeline lifecycle by contending that the efficiency,emissions,reliability,and environmental risk are jointly determined through the shared design decisions,operating plans,integrity platforms,and monitoring and response plans.Our initial conceptualization is pipeline systems and performance measures,which are characterized by boundary and comparability issues of particular energy consumption,methane intensity,and release consequence measures.Next,we look at hydraulic and station optimization,focusing on the need to look at the importance of equipment performance at part loads,constraints consciousness dispatch,and transient management to prevent the erosion of integrity levels by efficiency gains.The integrity management is appraised as one of the key enablers of stewardship that connects the corrosion prevention,in-line inspection and verification,and the risk-based mitigation to less likely failure,less disruptive interventions,and reduced emissions during maintenance.We compare the leak and spill prevention,detection,quantification,and response of the SCADA(supervisory control and data acquisition)-based computational monitoring,distributed sensing,as well as aerial/satellite,focusing on the validation,characterization of uncertainty,and the operational parameters modulating the time-to-detect and isolation performance.Environmental impacts of the lifecycle,not related to releases,are explained,such as routing and construction disturbance,management of right-of-way,station externalities,decommissioning,and climate resilience.Lastly,we assess new technologies,such as continuous monitoring networks,electrification,superior materials,and multi-objective decision-making that collaborates to increase energy,reliability,and environmental performance in heterogeneous pipeline networks.
基金funded by the National Key R&D Program of China(2021YFD1900700)。
文摘The development of wheat cultivars with improved nitrogen(N),phosphorus(P),and potassium(K)use efficiency is essential for sustainable agriculture.Genetic dissection and identification of causative genes underlying nutrient use efficiency represent a key strategy toward this goal.We conducted an extensive genome-wide association study(GWAS)using a panel of 431 wheat cultivars,identifying 1,659 significant single-nucleotide polymorphisms(SNPs)(LOD>5)through genotyping-by-sequencing.This analysis revealed 534 quantitative trait loci(QTLs)associated with 12 nutrient use efficiency traits across five distinct environments,among which 14 QTLs were consistently detected in at least three environments.Notably,meta-QTL analysis,showed that QTL80(72.12–74.24 Mb,chr2A),QTL387(32.88–33.56 Mb,chr6A),and QTL500(535.53–540.80 Mb,chr7B)exhibit clear co-localization with MQTL-2A-2,MQTL-6A-1,and MQTL-7B-2,respectively.This overlap highlights their robustness across diverse environmental conditions.Within these regions,critical candidate genes-including members of the bZIP transcription factor family and a potassium transporter gene-were identified in relation to nutrient use efficiency.Furthermore,a novel locus,QTL234,was discovered,harboring key candidate genes such as dof zinc finger protein,Ankyrin repeat family protein,and cytochrome P450.To validate the SNP within QTL234 associated with nitrogen harvest index(NHI),we developed a dCAPS marker for AX-109095537.These findings demonstrate the effectiveness of high-resolution SNP-based GWAS in rapidly pinpointing promising candidate genes.They also establish a foundation for large-scale QTL fine mapping,candidate gene validation,and the development of functional markers essential for enhancing nutrient use efficiency in wheat breeding programs.
基金Financial support from the National Natural Science Foundation of China(22375024,21975031,21734009,51933001,22109080,and 52173174)the Natural Science Foundation of Shandong Province(No.ZR2022YQ45)+2 种基金the Taishan Scholars Program(Nos.tstp20221121 and tsqnz20221134)The Beijing Natural Science Foundation(No.2244073)supported by State Key Laboratory of Bio-Fibers and Eco-Textiles(Qingdao University)(RZ2200002821)is acknowledged.
文摘A nonfused ring electron acceptor(NFREA),designated as TT-Ph-C6,has been synthesized with the aim of enhancing the power conversion efficiency(PCE)of organic solar cells(OSCs).By integrating asymmetric phenylalkylamino side groups,TT-Ph-C6 demonstrates excellent solubility and its crystal structure exhibits compact packing structures with a three-dimensional molecular stacking network.These structural attributes markedly promote exciton diffusion and charge carrier mobility,particularly advantageous for the fabrication of thick-film devices.TT-Ph-C6-based devices have attained a PCE of 18.01%at a film thickness of 100 nm,and even at a film thickness of 300 nm,the PCE remains at 14.64%,surpassing that of devices based on 2BTh-2F.These remarkable properties position TT-Ph-C6 as a highly promising NFREA material for boosting the efficiency of OSCs.
基金supported by the National Natural Science Foundation of China(No.52205045)the Natural Science Foundation of Hebei Province,China(No.E2024203244)the Aeronautical Science Foundation of China(No.2022Z029051001)。
文摘With the continuous development of science and technology and the growing severity of energy issues,load-sensitive drive systems have attracted significant attention in the electro–hydraulic servo field due to their high energy efficiency.Currently,most research primarily focuses on introducing load-sensitive valves to achieve load-following through hydraulic-mechanical feedback.This approach has partially achieved the energy-saving goal,but issues such as reduced dynamic response speed and limited load-sensitive range due to mechanical structures remain.This paper proposes an active load-sensitive variable displacement drive system that no longer relies on mechanical structures for load-sensitive adjustment.And multiple energy efficiency mapping relationships are designed to complete the system's load-sensitive adjustment,thereby reducing throttling losses.Additionally,a dual-loop anti-disturbance control method based on energy efficiency mapping is proposed.An appropriate Lyapunov function is selected to prove that the control system ultimately tends to be bounded and stable,successfully solving the multiplicative nonlinear coupling control problem caused by the variable mechanism,and improving the system's position control accuracy.Experimental results show that under this control method,the active loadsensitive drive system can reduce flow by up to 60 % compared to the traditional fixed displacement hydraulic motor drive system.Compared to conventional PID control,the proposed method can improve control accuracy by up to 50 %,effectively reducing energy consumption while improving the position control accuracy of the active load-sensitive variable motor drive system.
基金supported in part by the Opening Project of Guangxi Wireless Broadband Communication and Signal Processing Key Laboratory under Grant AD25069102in part by the Basic Ability Improvement Project of Young and Middle Aged Teachers in Guangxi Universities,under Grant 2023KY0226+6 种基金in part by Key Laboratory of Cognitive Radio and Information Processing,Ministry of Education of China,underGrant CRKL220108in part by the Innovation Project of Guangxi Graduate Education,under Grant YCBZ2023131in part by the Doctoral Research Foundation of Guilin University of Electronic Technology,under Grant UF23038Yin part by the Bagui Youth Top Talent Projectin part by the Guangxi Key Research and Development Program under Grant AB25069510in part by Open Fund of IPOC(BUPT),No.IPOC2024B07in part by Guangxi Key Laboratory of Precision Navigation Technology and Application,under Grant DH202309.
文摘UAV-mounted intelligent reflecting surface(IRS)helps address the line-of-sight(LoS)blockage between sensor nodes(SNs)and the fusion center(FC)in Internet of Things(IoT).This paper considers an IoT assisted by multiple UAVs-mounted IRS(U-IRS),where the data from ground SNs are transmitted to the FC.In practice,energy efficiency(EE)and mission completion time are crucial metrics for evaluating system performance and operational costs.Recognizing their importance during data collection,we formulate a multi-objective optimization problem to maximize EE and minimize total mission completion time simultaneously.To characterize this tradeoff while considering optimization objective consistency,we construct an optimization problem that minimizes the weighted sum of the total mission completion time and the reciprocal of EE.Due to the non-convex nature of the formulated problem,obtaining optimal solutions is generally challenging.To tackle this issue,we decompose it into three subproblems:UAV-SN association,number of reflecting elements allocation,andUAVtrajectory optimization.An iterative algorithmcombining genetic algorithm,CS-BJ algorithm,and successive convex approximation technique is proposed to solve these sub-problems.Simulation results demonstrate that when the transmitted data amount is 10 and 30Mbits,compared to the static collection benchmark(the UAV hovers directly above each SN),the EE of the proposed method improves by more than 10.4% and 5.2%,while the total mission completion time is reduced by more than 5.4% and 3.3%,respectively.
基金funded by the National Natural Science Foundation of China(No.32201304)the Fundamental Research Funds for the Central Universities(2412022QD026)。
文摘Human-modified landscapes serve as ecological filters,determining species distributions and persistence.Energy-efficient technologies,while crucial for climate change mitigation,represent novel filters whose impacts on synanthropic biodiversity are poorly understood.We investigated how attached sunspaces,a widely adopted energy-saving technology in rural China,filter the distribution of two ecologically important aerial insectivores,the Barn Swallow(Hirundo rustica)and Red-rumped Swallow(Cecropis daurica).We surveyed 106 villages during the 2024 and 2025 breeding seasons and recorded a total of 2323 nests(612 Barn Swallow,1711 Red-rumped Swallow).Using Generalized Linear Models,we assessed their responses to building characteristics,landscape composition and the prevalence of sunspaces.Barn Swallow nests preferred perches at the base and single attachment faces,while Red-rumped Swallow nests favored multiple attachment faces and avoided long shelters.The proportion of buildings with sunspaces acted as a strong positive filter for Barn Swallow nest abundance(+24%)but as a significant negative filter for Red-rumped Swallow(-51%).Other landscape variables(e.g.,human population density,NDVI,Human Footprint Index)were not significant.This study demonstrates that specific architectural innovations can act as powerful ecological filters,leading to divergent distributional outcomes for sympatric species reliant on anthropogenic structures.Our findings reveal a critical trade-off in sustainable development:energy efficiency gains may inadvertently reduce habitat suitability for certain species.To reconcile climate and biodiversity goals in rural landscapes,we advocate integrating species-specific habitat requirements into building design.We propose actionable modifications to sunspaces to support swallows without compromising energy savings.These principles provide a template for mitigating the distributional impacts of green infrastructure globally.
基金supported by the Strategic Priority Research Program of Chinese Academy of Sciences(Grant No.XDA0520403)Shanghai Municipal Science and Technology Major Project(Grant No.2019SHZDZX01)+1 种基金Innovation Program for Quantum Science and Technology(Grant No.2023ZD0300100)the National Natural Science Foundation of China(Grant Nos.U24A20320 and 62401554)。
文摘We here report a high system detection efficiency(SDE)superconducting single-photon detector(SSPD)at 2μm wavelength.The device integrates a SiO_(2)/Ta_(2)O_(5)distributed Bragg reflector(DBR)and a sandwich-structured double-layer NbN nanowire to enhance the optical absorption efficiency.A cold development technique is implemented to optimize the superconducting nanowires with sub-40-nm linewidths,thus enhancing the intrinsic detection efficiency(IDE).The fabricated SSPD shows an SDE exceeding 90% at 2μm wavelength.Moreover,the detector allows an operational working temperature of 2.2 K provided by a compact GM cryo-cooler.This detector delivers excellent performance at the 2μm wavelength,and its optimized structural design implies promising potential for extending detection toward longer infrared bands.It thus holds value for advancing high-sensitivity quantum technologies,mid-infrared optical communications,and dark matter detection research.
基金support from the Heilongjiang Province"Double First Class"Discipline Collaborative Innovation Project(No.LJGXCG2023-061).
文摘Hard carbon is a vital anode material for sodium-ion batteries;however,the nonuniform growth of solid electrolyte interphase(SEI)film substantially diminishes its initial coulombic efficiency(ICE)and cycle life.The chemical and morphological properties of surface highly influence the electrode/electrolyte interfacial reactions.In this study,we have tuned orbital hybridization states forming an interface enriched with sp^(2) hybridized carbon(sp^(2)-C),which decreases the binding energy to solvent molecules and inhibits excessive solvent decomposition during SEI formation.Benefiting from successfully constructed inorganic-rich SEI,the ICE increased to 91%and sodium storage capacity reached 346 mAh/g.Besides,the capacity retention rate was 90.7%after 700 cycles at 1 A/g higher than pristine electrode(83.8%).
基金financially supported by the Tianshan Talent Development Program,China for Yali Zhangthe Natural Science Foundation of Xinjiang Production and Construction Corps,China(2024DA002)the Earmarked Fund for XJARS-Cotton,China(XJARS-03)。
文摘Hydraulic theory predicts a positive coupling between leaf hydraulic conductance(K_(leaf))and stomatal conductance(g_(s));however,this theory has not been fully supported by observations,and underlying mechanisms are poorly understood.Partitioning K_(leaf)into inside-xylem(K_(x))and outside-xylem(K_(ox))components offers a refined framework for elucidating the regulation of g_(s) by leaf hydraulics.While optimal planting density may enhance water use efficiency(WUE)through modulation of g_(s),corresponding changes in leaf hydraulic properties and their influence on gas exchange remain unclear.We examined relationships among K_(x),K_(ox),g_(s),leaf photosynthetic rate(A_(N)),and WUE,and analyzed the structural determinants of K_(ox)in cotton grown under eight planting densities:12,18,24,36,48,60,72,and 84 plants m^(–2).Results showed that as planting density increased,K_(leaf)and A_(N) remained stable,whereas K_(ox)and g_(s) declined significantly.Leaf thickness and the volume fraction of inter-cellular air space were key structural factors influencing K_(ox).Neither K_(leaf)nor K_(x)correlated with A_(N) or g_(s);however,K_(ox)exhibited a significant positive correlation with g_(s).Furthermore,K_(ox)was negatively correlated with WUE.These findings indicate that K_(ox)modulates g_(s) to minimize water loss without compromising A_(N),thereby enhancing WUE in cotton across varying planting densities.
基金supported by the National Key Research and Development Program of China(2022YFD2300304)the National Natural Science Foundation of China(32272197 and 32071944)+2 种基金the Hong Kong Research Grants Council,China(GRF 14177617,12103219,12103220,and AoE/M-403/16)the State Key Laboratory of Agrobiotechnology(Strategic Collaborative Projects)at the Chinese University of Hong Kong,Chinathe Priority Academic Program Development of Jiangsu Higher Education Institutions,China(PAPD)。
文摘Lodging is a primary factor limiting rice grain yield.Achieving synergistic improvements in grain yield and nitrogen use efficiency(NUE)without increasing lodging risk has been a global research priority.In this study,two rice cultivars-Yongyou 2640(indica–japonica hybrid rice)and Jinxiangyu 1(inbred japonica rice)-were evaluated in field experiments conducted over two growing seasons.Six nitrogen management strategies were implemented:no nitrogen(T1),conventional urea(T2),controlled-release nitrogen(CRN)(T3),reduction of CRN(T4),CRN combined with single basal application of conventional urea(T5),and CRN combined with split applications of conventional urea(T6).Compared with T2,the integrated nitrogen strategies(T5 and T6)increased NUE by 4.89–5.69%and grain yield by 3.41–4.65%.These treatments also enhanced structural integrity of the second basal internode,evidenced by increased carbohydrate content,internode breaking strength,epidermal silicon layer thickness,number of large and small vascular bundles,and thickness of both parenchymatous and mechanical tissues.Concurrently,internode length,bending moment,and lodging index were reduced.Collectively,these findings indicate that integrating CRN with conventional urea improves morphological,mechanical,physicochemical,and anatomical properties of the second basal internode,thereby enhancing stem strength and enabling high yield and NUE without compromising lodging resistance.
基金supported by National Key R&D Program of China(Grant No.2022YFC3901403)China Baowu Low Carbon Metallurgy Innovation Foundation(Grant No.BWLCF202211)Program of Introducing Talents of Discipline to Universities(Grant No.B21001).
文摘The electric arc furnace(EAF)offers advantages in energy savings,environmental protection,and high efficiency by using scrap as the primary charge and utilizing a high-temperature electric arc as the main heat source for steel smelting.The improvement of EAF smelting efficiency is primarily influenced by three key factors:the heat transfer efficiency of the electric arc,the intensity of molten pool stirring,and the melting rate of scrap.The arc heat transfer efficiency determines the energy input efficiency and the maximum smelting temperature of the EAF.Molten pool stirring intensity plays a crucial role in ensuring uniformity in temperature,composition,and flow within the furnace,preventing the formation of dead zones.The scrap melting rate is a decisive factor in EAF smelting efficiency,largely governed by the coupling of heat and mass transfer.Thus,understanding not only the rapid melting mechanism of scrap but also the impact of arc heat transfer and molten pool stirring is essential to optimizing the smelting process.Advancing research in these areas is critical for shortening the EAF smelting cycle,reducing energy consumption,lowering costs,and improving resource utilization.Therefore,recent achievements and development trends in fundamental research on enhancing EAF smelting efficiency were summarized.
文摘Managing massive data flows effectively and resolving spectrum shortages are two challenges that smart grid communication networks(SGCN)must overcome.To address these problems,we provide a combined optimization approach that makes use of cognitive radio(CR)and non-orthogonal multiple access(NOMA)technologies.Our work focuses on using user pairing(UP)and power allocation(PA)techniques to maximize energy efficiency(EE)in SGCN,particularly within neighbourhood area networks(NANs).We develop a joint optimization problem that takes into account the real-world limitations of a CR-NOMA setting.This problem is NP-hard,nonlinear,and nonconvex by nature.To address the computational complexity of the problem,we use the block coordinate descent(BCD)method,which breaks the problem into UP and PA subproblems.Initially,we proposed the zebra-optimization user pairing(ZOUP)algorithm to tackle the UP problem,which outperforms both orthogonal multiple access(OMA)and non-optimized NOMA(UPWO)by 78.8%and13.6%,respectively,at a SNR of 15 dB.Based on the ZOUP pairs,we subsequently proposed the PA approach,i.e.,ZOUPPA,which significantly outperforms UPWO and ZOUP by 53.2%and 25.4%,respectively,at an SNR of 15 dB.A detailed analysis of key parameters,including varying SNRs,power allocation constants,path loss exponents,user density,channel availability,and coverage radius,underscores the superiority of our approach.By facilitating the effective use of communication resources in SGCN,our research opens the door to more intelligent and energy-efficient grid systems.Our work tackles important issues in SGCN and lays the groundwork for future developments in smart grid communication technologies by combining modern optimization approaches with CR-NOMA.
文摘As Hangzhou East Railway Station uses technology to ease post-arrival travel anxiety,Shenzhen Bay maintains human-nature harmony through thoughtful governance,and an institutional safety net is built for travelers’haste and oversight at railway ticket purchase,a new landscape of modern travel is sketched.
