Carbon dioxide (CO_(2)) mineralization technology has attracted significant attention, due tothe synergistic terminal treatment of CO_(2) and industrial waste. The combined CO_(2) mineralizationprocess with steel ente...Carbon dioxide (CO_(2)) mineralization technology has attracted significant attention, due tothe synergistic terminal treatment of CO_(2) and industrial waste. The combined CO_(2) mineralizationprocess with steel enterprises is a promising route to simultaneously address CO_(2)emissions and SS treatment. Recently, a serial of the relevant work focus on a single type ofsteel slag (SS), and the understanding of CO_(2) absorption by mineralization of various SS isvery lacking.Meanwhile, it is urgent requirement for systematic summary and discussion onhow to make full use of the mineralized products produced after the mineralization of CO_(2)in SS. This review aims to investigate the progress of CO_(2) mineralization using SS, includingthe potential applications of mineralization products, as well as the environmental impactand risk assessment ofmineralization product applications. Currently, the application of SSmineralization products is primarily focused on their use as construction materials with loweconomic value. With usage of the mineralization products for ecological restoration (e.g.sandy soil remediation) was treated as an advanced route, but still remaining challenge infunctional materials preparation, and its technical economy and possible hazards need tobe further explored by long-term experimental tests.展开更多
The abatement of NO_(x)from diesel vehicle exhaust is of great importance for improving the atmospheric enviro nment.Cu-SSZ-39 zeolites possess the potential for application in the diesel vehicle aftertreatment system...The abatement of NO_(x)from diesel vehicle exhaust is of great importance for improving the atmospheric enviro nment.Cu-SSZ-39 zeolites possess the potential for application in the diesel vehicle aftertreatment system.Phosphorus(P)and hydrocarbons(HCs)present in the exhaust have negative impacts on the catalysts.To enhance the resistance of Cu-SSZ-39 catalysts to P and HCs,various rare earth metals were doped.Loading of 1 wt%Ce on the Cu-SSZ-39 catalyst improves the resistance to P and HCs simultaneously.The promotion mechanism was investigated through H_(2)-temperature programmed reduction(H_(2)-TPR),ultraviolet visible diffuse reflectance spectroscopy(UV-vis-DRS),diffuse reflectance infrared Fourier transform spectroscopy(DRIFTS),X-ray photoelectron spectroscopy(XPS),energy dispersive spectroscopy(EDS)and theoretical calculation.On the one hand,Ce species can act as sacrificial sites,preferentially binding with P.On the other hand,Ce doping induces the formation of CuO species,promoting the oxidation of C_(3)H_(6)and preventing the consumption of NH_(3)from the reaction with C_(3)H_(6).Ce acting as bi-functional sites enhances the P and HCs resistance of Cu-SSZ-39 catalysts,further brightening its practical application.展开更多
Li_(1.3)Al_(0.3)Ti_(1.7)(PO_(4))_(3)(LATP)is a promising solid-state electrolyte for next-generation solid-state lithium metal batteries,offering high ionic conductivity,superior air stability,and low cost.However,its...Li_(1.3)Al_(0.3)Ti_(1.7)(PO_(4))_(3)(LATP)is a promising solid-state electrolyte for next-generation solid-state lithium metal batteries,offering high ionic conductivity,superior air stability,and low cost.However,its practical application is hindered by high interface impedance due to rigid solid–solid contact with electrodes and instability when in contact with lithium metal.Here,a hybrid solid–liquid electrolyte is designed,consisting of a porous 3D LATP skeleton infiltrated with carbonate-based organic electrolyte,to ensure sufficient electrolyte wettability.Further,the thermodynamic instability between LATP and Li is solved by magnetron sputtering a layer of ferroelectric Ba_(0.5)Sr_(0.5)TiO_(3)(BST)onto the LATP surface.This BST interlayer prevents direct contact between LATP and Li metal,enhancing performance by dynamically regulating Li+deposition,inhibiting dendrite growth,reducing overpotential and interface resistance,and improving Li^(+)transport.Compared to the LATP-based electrolyte(LATP-LE),the BST-modified hybrid electrolyte(B@LATP-LE)demonstrates largely improved ionic conductivity(0.42 to 1.38 mS cm^(-1))and outstanding electrochemical performance,achieving stable cycling for over 7000 h in Li||Li cells and superior stability in LiFePO_(4)||Li and LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2)||Li full cells.This approach offers a costeffective solution to the interface issues of LATP and provides insights for high-performance lithium metal batteries.展开更多
An innovative strategy was proposed by integration of membrane contactor(MC)with biphasic solvent for efficient CO_(2) capture from flue gas.The accessible fly ash-based ceramic membrane(CM)underwent hydrophobic modif...An innovative strategy was proposed by integration of membrane contactor(MC)with biphasic solvent for efficient CO_(2) capture from flue gas.The accessible fly ash-based ceramic membrane(CM)underwent hydrophobic modification through silane grafting,followed by fluoroalkylsilane decoration,to prepare the superhydrophobic membrane(CSCM).The CSCM significantly improved resistance to wetting by the biphasic solvent,consisting of amine(DETA)and sulfolane(TMS).Morphological characterizations and chemical analysis revealed the notable enhancements in pore structure and hydrophobic chemical groups for the modified membrane.Predictions of wetting/bubbling behavior based on static wetting theory referred the liquid entry pressure(LEP)of CSCM increased by 20 kPa compared to pristine CM.Compared with traditional amine solvents,the biphasic solvent presented the expected phase separation.Performance experiments demonstrated that the CO_(2) capture efficiency of the biphasic solvent increased by 7%,and the electrical energy required for desorption decreased by 32%.The 60-h continuous testing and supplemental characterization of used membrane confirmed the excellent adaptability and durability of the CSCMs.This study provides a potential approach for accessing hydrophobic ceramic membranes and biphasic solvents for industrial CO_(2) capture.展开更多
Catalytic amine-solvent regeneration has been validated as an energy-saving strategy for CO_(2) chemisorption by boosting reaction kinetics under mild conditions.The upscale performance evaluation and longterm durabil...Catalytic amine-solvent regeneration has been validated as an energy-saving strategy for CO_(2) chemisorption by boosting reaction kinetics under mild conditions.The upscale performance evaluation and longterm durability are indispensable steps for industrial application but have been scarcely reported thus far.Here,we report a ZrO_(2)/Al_(2)O_(3) pack catalyst that possesses strong metal oxide-support interactions,a porous structure,active and stable Zr-O-Al coordination,promoted proton transfer and a 40.7% decrease in the energy activation of carbamate decomposition,which significantly accelerates CO_(2) desorption kinetics.The upscale experiment and cost evaluation based on industrial flue gas revealed that the use of packing catalysts can reduce energy consumption by 27.56% and optimize the overall cost by 10.49%.The active sites present excellent stability in alkaline solvents.This work is the first to investigate the ability of high-technology readiness(technology readiness level at 6(TRL 6))for catalytic aminesolvent regeneration,providing valuable insights for potential applications involving efficient CO_(2) capture with catalyst assistance.展开更多
The realization of high-efficiency photocatalysis is greatly meaningful to overcome the issues of current energy and environment,in which the core factor is the exploration of photocatalysts with promising semiconduct...The realization of high-efficiency photocatalysis is greatly meaningful to overcome the issues of current energy and environment,in which the core factor is the exploration of photocatalysts with promising semiconductor properties.The Cu-based metal sulfide photocatalysts of CuSbS_(2)and its derivative of bournonite CuPbSbS_(3)possess the features of earth-abundant elements,strong photostability,visiblelight range bandgap,and high absorption coefficient,possessing great potential for the realization of efficient photocatalytic applications.Although the photocatalysts of CuSbS_(2)and CuPbSbS_(3)have been investigated in photocatalysis application of hydrogen production and degradation,the exploration process is still in the early-development stage.In this review,the design concept and semiconductor properties of CuSbS_(2)and CuPbSbS_(3)are firstly introduced.Subsequently,the photocatalytic applications of CuSbS_(2)and CuPbSbS_(3)photocatalysts,mainly including hydrogen production and degradation,are systematically reviewed.Finally,the challenges and prospects for the further exploration of CuSbS_(2)and CuPbSbS_(3)photocatalysts are provided.展开更多
The electrocatalytic water-splitting process is widely acknowledged as the most sustainable and environmentally friendly technology for hydrogen(H2)production.However,its energy efficiency is significantly constrained...The electrocatalytic water-splitting process is widely acknowledged as the most sustainable and environmentally friendly technology for hydrogen(H2)production.However,its energy efficiency is significantly constrained by the kinetically slow oxygen evolution reaction(OER)at the anode,which accounts for about 90%of the electrical energy consumption in the water-splitting process.A new strategy is urgently needed to reduce its energy consumption.In recent years,electrochemical oxidation of small molecules has been considered for replacement of OER for efficient H2 production,due to its benign operational conditions,low theoretical thermodynamic potential,high conversion efficiency and selectivity,and environmental sustainability.Hybrid electrolysis systems,by integrating cathodic hydrogen evolution reaction with anodic oxidation of small molecules,have been introduced,which can generate high-purity H2 and produce value-added products or pollutant degradation.In this review,we highlight the recent advancements and significant milestones achieved in hybrid water electrolysis systems.The focus is on non-noble metal electrocatalysts,reaction mechanisms,and the construction of electrolyzers.Additionally,we present the prevailing challenges and future perspectives pertinent to the evolution of this burgeoning technology.展开更多
In the last few years,research on advanced ultrafast photonic devices has attracted great interest from laser physicists.As a semiconductor material with excellent nonlinear saturation absorption characteristics,Ga As...In the last few years,research on advanced ultrafast photonic devices has attracted great interest from laser physicists.As a semiconductor material with excellent nonlinear saturation absorption characteristics,Ga As has been used in solidstate and fiber lasers as a mode-locker.However,the pulse widths that have been reported in the searchable published literature are all long and the shortest is tens of picoseconds.Femtosecond pulse widths,desired for a variety of applications,have not yet been reported in Ga As-based pulsed lasers.In this work,we further explore the nonlinear characteristics of Ga As that has been magnetron sputtered onto the surface of a tapered fiber and its application in the generation of femtosecond lasing via effective dispersion optimization and nonlinearity management.With the enhanced interaction between evanescent waves and Ga As nanosheets,mode-locked soliton pulses as short as 830 fs are generated at repetition rates of 4.64 MHz.As far as we know,this is the first time that femtosecond-level pulses have been generated with a Ga As-based saturable absorber.In addition,soliton molecules,including in the dual-pulse state,are also realized under stronger pumping.This work demonstrates that Ga As-based photonic devices have good application prospects in effective polymorphous ultrashort pulsed laser generation.展开更多
Accurate traffic flow prediction has a profound impact on modern traffic management. Traffic flow has complex spatial-temporal correlations and periodicity, which poses difficulties for precise prediction. To address ...Accurate traffic flow prediction has a profound impact on modern traffic management. Traffic flow has complex spatial-temporal correlations and periodicity, which poses difficulties for precise prediction. To address this problem, a Multi-head Self-attention and Spatial-Temporal Graph Convolutional Network (MSSTGCN) for multiscale traffic flow prediction is proposed. Firstly, to capture the hidden traffic periodicity of traffic flow, traffic flow is divided into three kinds of periods, including hourly, daily, and weekly data. Secondly, a graph attention residual layer is constructed to learn the global spatial features across regions. Local spatial-temporal dependence is captured by using a T-GCN module. Thirdly, a transformer layer is introduced to learn the long-term dependence in time. A position embedding mechanism is introduced to label position information for all traffic sequences. Thus, this multi-head self-attention mechanism can recognize the sequence order and allocate weights for different time nodes. Experimental results on four real-world datasets show that the MSSTGCN performs better than the baseline methods and can be successfully adapted to traffic prediction tasks.展开更多
Because of the developed economy and lush vegetation in southern China, the following obstacles or difficulties exist in remote sensing land surface classification: 1) Diverse surface composition types;2) Undulating t...Because of the developed economy and lush vegetation in southern China, the following obstacles or difficulties exist in remote sensing land surface classification: 1) Diverse surface composition types;2) Undulating terrains;3) Small fragmented land;4) Indistinguishable shadows of surface objects. It is our top priority to clarify how to use the concept of big data (Data mining technology) and various new technologies and methods to make complex surface remote sensing information extraction technology develop in the direction of automation, refinement and intelligence. In order to achieve the above research objectives, the paper takes the Gaofen-2 satellite data produced in China as the data source, and takes the complex surface remote sensing information extraction technology as the research object, and intelligently analyzes the remote sensing information of complex surface on the basis of completing the data collection and preprocessing. The specific extraction methods are as follows: 1) extraction research on fractal texture features of Brownian motion;2) extraction research on color features;3) extraction research on vegetation index;4) research on vectors and corresponding classification. In this paper, fractal texture features, color features, vegetation features and spectral features of remote sensing images are combined to form a combination feature vector, which improves the dimension of features, and the feature vector improves the difference of remote sensing features, and it is more conducive to the classification of remote sensing features, and thus it improves the classification accuracy of remote sensing images. It is suitable for remote sensing information extraction of complex surface in southern China. This method can be extended to complex surface area in the future.展开更多
The Guidelines for the Construction of Ideological and Political Education in Courses at Institutions of Higher Learning emphasizes that“the construction of ideological and political education in courses is an import...The Guidelines for the Construction of Ideological and Political Education in Courses at Institutions of Higher Learning emphasizes that“the construction of ideological and political education in courses is an important task for comprehensively improving the quality of talent cultivation”and“clarifying the target requirements and key content of the construction of ideological and political education in courses.”In vocational colleges,as an important discipline in the field of information technology,the construction of ideological and political education in software technology courses is of great significance for cultivating students’comprehensive qualities and establishing correct values.Based on sorting out the core literacy of the construction of ideological and political education in software technology courses,this article actively explores its construction path,hoping to provide references for relevant educators.展开更多
Taking the Dapingzhang copper-polymetallic deposit in Yunnan Province, China as the research object, the maximum entropy model was used to extract the mining information, and the mineral resource prediction model was ...Taking the Dapingzhang copper-polymetallic deposit in Yunnan Province, China as the research object, the maximum entropy model was used to extract the mining information, and the mineral resource prediction model was established by using the exploration data of the deposit and related regions in this area, so as to determine the prospecting prospect area in the study area. In this paper, the Jacknife analysis module of maximum entropy model is used to quantitatively rank the importance of 39 geochemical element variables, and finally obtain the prospecting prospect map of the study area. The research results show that the Dapingzhang mining area has the potential to find hidden ore in the deep and surrounding areas, and the northern and southern ends and western sides of the rock ore control structural belt in the eastern region of the mining area have good prospecting prospects. The research results provide an important basis for the deployment of follow-up exploration work in the study area, and the maximum entropy model has a good application effect in mineral resources exploration.展开更多
The susceptibility evaluation of landslides has become one of the key environmental issues that people are concerned about. This study took the land-slides in Xishuangbanna, Yunnan Province as the study object, and se...The susceptibility evaluation of landslides has become one of the key environmental issues that people are concerned about. This study took the land-slides in Xishuangbanna, Yunnan Province as the study object, and selected 10 evaluation factors such as digital elevation model (DEM), slope aspect, precipitation, land use, water system, roads, population density, lithology, faults, and NDVI. Different machine learning methods were compared and studied, and the ROC (receiver operating characteristics) curve verification revealed that the accuracy of the random forest evaluation model was high. In the prediction and evaluation of the susceptibility of landslides, five risk levels were divided. After the superimposed analysis, 87.26% of the disaster points fell in the first and second susceptibility areas. The spot analysis found that the distribution of hot spots is consistent with the distribution of disaster spots. In a word, the results of this study can provide better technical support for the evaluation and early warning of landslides in Southwest China.展开更多
The land cover types in South China are varied, and the terrain is undulating, and the area of different land types is small, and the remote sensing monitoring work was difficult. In order to solve these problems, an ...The land cover types in South China are varied, and the terrain is undulating, and the area of different land types is small, and the remote sensing monitoring work was difficult. In order to solve these problems, an automatic classification method based on transfer learning and convolutional neural network model was established in this paper, with a total classification accuracy of 98.1611%. This paper proposes a land use classification remote sensing method based on deep learning, which improved the automation level and monitoring accuracy of complex land surface remote sensing monitoring in South China, and it provided technical support for the land consolidation work in China.展开更多
In this paper, Hailin City of Heilongjiang Province, China is taken as the research area. As an important city in Heilongjiang Province, China, the sustainable development of its ecological environment is related to t...In this paper, Hailin City of Heilongjiang Province, China is taken as the research area. As an important city in Heilongjiang Province, China, the sustainable development of its ecological environment is related to the opening up, economic prosperity and social stability of Northeast China. In this paper, the remote sensing ecological index (RSEI) of Hailin City in recent 20 years was calculated by using Landsat 5/8/9 series satellite images, and the temporal and spatial changes of the ecological environment in Hailin City were further analyzed and the influencing factors were discussed. From 2003 to 2023, the mean value of RSEI in Hailin City decreased and increased, and the ecological environment decreased slightly as a whole. RSEI declined most significantly from 2003 to 2008, and it increased from 2008 to 2013, decreased from 2013 to 2018, and increased from 2018 to 2023 again, with higher RSEI value in the south and lower RSEI value in the northwest. It is suggested to appropriately increase vegetation coverage in the northwest to improve ecological quality. As a result, the predicted value of Elman dynamic recurrent neural network model is consistent with the change trend of the mean value, and the prediction error converges quickly, which can accurately predict the ecological environment quality in the future study area.展开更多
基金supported by the National Key Research and Development Program(Nos.2023YFC3707101 and 2023YFF0614301)the Tsinghua University Initiative Scientific Research Program(No.2023Z02JMP001)the Linghang Project of School of Environment(No.025108011).
文摘Carbon dioxide (CO_(2)) mineralization technology has attracted significant attention, due tothe synergistic terminal treatment of CO_(2) and industrial waste. The combined CO_(2) mineralizationprocess with steel enterprises is a promising route to simultaneously address CO_(2)emissions and SS treatment. Recently, a serial of the relevant work focus on a single type ofsteel slag (SS), and the understanding of CO_(2) absorption by mineralization of various SS isvery lacking.Meanwhile, it is urgent requirement for systematic summary and discussion onhow to make full use of the mineralized products produced after the mineralization of CO_(2)in SS. This review aims to investigate the progress of CO_(2) mineralization using SS, includingthe potential applications of mineralization products, as well as the environmental impactand risk assessment ofmineralization product applications. Currently, the application of SSmineralization products is primarily focused on their use as construction materials with loweconomic value. With usage of the mineralization products for ecological restoration (e.g.sandy soil remediation) was treated as an advanced route, but still remaining challenge infunctional materials preparation, and its technical economy and possible hazards need tobe further explored by long-term experimental tests.
基金Project supported by the National Key R&D Program of China(2023YFC3707201)National Natural Science Foundation of China(52200136,52270112,22106172)National Energy-Saving and Low-Carbon Materials Production and Application Demonstration Platform Program(TC220H06N)。
文摘The abatement of NO_(x)from diesel vehicle exhaust is of great importance for improving the atmospheric enviro nment.Cu-SSZ-39 zeolites possess the potential for application in the diesel vehicle aftertreatment system.Phosphorus(P)and hydrocarbons(HCs)present in the exhaust have negative impacts on the catalysts.To enhance the resistance of Cu-SSZ-39 catalysts to P and HCs,various rare earth metals were doped.Loading of 1 wt%Ce on the Cu-SSZ-39 catalyst improves the resistance to P and HCs simultaneously.The promotion mechanism was investigated through H_(2)-temperature programmed reduction(H_(2)-TPR),ultraviolet visible diffuse reflectance spectroscopy(UV-vis-DRS),diffuse reflectance infrared Fourier transform spectroscopy(DRIFTS),X-ray photoelectron spectroscopy(XPS),energy dispersive spectroscopy(EDS)and theoretical calculation.On the one hand,Ce species can act as sacrificial sites,preferentially binding with P.On the other hand,Ce doping induces the formation of CuO species,promoting the oxidation of C_(3)H_(6)and preventing the consumption of NH_(3)from the reaction with C_(3)H_(6).Ce acting as bi-functional sites enhances the P and HCs resistance of Cu-SSZ-39 catalysts,further brightening its practical application.
基金supported by the General Program of the National Natural Science Foundation of China(Grant No.52277215 and Grant No.52377206)the General Program of the Postdoctoral Science Foundation of China(No.2023M730884)the Postdoctoral Science Foundation of Heilongjiang Province of China(LBH.Z23024).
文摘Li_(1.3)Al_(0.3)Ti_(1.7)(PO_(4))_(3)(LATP)is a promising solid-state electrolyte for next-generation solid-state lithium metal batteries,offering high ionic conductivity,superior air stability,and low cost.However,its practical application is hindered by high interface impedance due to rigid solid–solid contact with electrodes and instability when in contact with lithium metal.Here,a hybrid solid–liquid electrolyte is designed,consisting of a porous 3D LATP skeleton infiltrated with carbonate-based organic electrolyte,to ensure sufficient electrolyte wettability.Further,the thermodynamic instability between LATP and Li is solved by magnetron sputtering a layer of ferroelectric Ba_(0.5)Sr_(0.5)TiO_(3)(BST)onto the LATP surface.This BST interlayer prevents direct contact between LATP and Li metal,enhancing performance by dynamically regulating Li+deposition,inhibiting dendrite growth,reducing overpotential and interface resistance,and improving Li^(+)transport.Compared to the LATP-based electrolyte(LATP-LE),the BST-modified hybrid electrolyte(B@LATP-LE)demonstrates largely improved ionic conductivity(0.42 to 1.38 mS cm^(-1))and outstanding electrochemical performance,achieving stable cycling for over 7000 h in Li||Li cells and superior stability in LiFePO_(4)||Li and LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2)||Li full cells.This approach offers a costeffective solution to the interface issues of LATP and provides insights for high-performance lithium metal batteries.
基金supported by the National Key R&D Program of China(2023YFF0614301,2023YFC3707004,and 2018YFB0604302)Fundamental Research Funds for the Central Universities(No.2022MS041)+1 种基金National Natural Science Foundation of China(No.22106084)Tsinghua University Initiative Scientific Research Program(2023Z02JMP001).
文摘An innovative strategy was proposed by integration of membrane contactor(MC)with biphasic solvent for efficient CO_(2) capture from flue gas.The accessible fly ash-based ceramic membrane(CM)underwent hydrophobic modification through silane grafting,followed by fluoroalkylsilane decoration,to prepare the superhydrophobic membrane(CSCM).The CSCM significantly improved resistance to wetting by the biphasic solvent,consisting of amine(DETA)and sulfolane(TMS).Morphological characterizations and chemical analysis revealed the notable enhancements in pore structure and hydrophobic chemical groups for the modified membrane.Predictions of wetting/bubbling behavior based on static wetting theory referred the liquid entry pressure(LEP)of CSCM increased by 20 kPa compared to pristine CM.Compared with traditional amine solvents,the biphasic solvent presented the expected phase separation.Performance experiments demonstrated that the CO_(2) capture efficiency of the biphasic solvent increased by 7%,and the electrical energy required for desorption decreased by 32%.The 60-h continuous testing and supplemental characterization of used membrane confirmed the excellent adaptability and durability of the CSCMs.This study provides a potential approach for accessing hydrophobic ceramic membranes and biphasic solvents for industrial CO_(2) capture.
基金supported by the National Natural Science Foundation of China(52300134 and 22106084)the China Postdoctoral Science Foundation(2022TQ0175,2023M741931,and 2022T150350).
文摘Catalytic amine-solvent regeneration has been validated as an energy-saving strategy for CO_(2) chemisorption by boosting reaction kinetics under mild conditions.The upscale performance evaluation and longterm durability are indispensable steps for industrial application but have been scarcely reported thus far.Here,we report a ZrO_(2)/Al_(2)O_(3) pack catalyst that possesses strong metal oxide-support interactions,a porous structure,active and stable Zr-O-Al coordination,promoted proton transfer and a 40.7% decrease in the energy activation of carbamate decomposition,which significantly accelerates CO_(2) desorption kinetics.The upscale experiment and cost evaluation based on industrial flue gas revealed that the use of packing catalysts can reduce energy consumption by 27.56% and optimize the overall cost by 10.49%.The active sites present excellent stability in alkaline solvents.This work is the first to investigate the ability of high-technology readiness(technology readiness level at 6(TRL 6))for catalytic aminesolvent regeneration,providing valuable insights for potential applications involving efficient CO_(2) capture with catalyst assistance.
基金supported by the National Natural Science Foundation of China(Nos.22109034,22109035,52164028,62105083,22202053,52304326,22309037,22305055,52362010)the Startup Research Foundation of Hainan University(Nos.KYQD(ZR)20008,20082,20083,20084,21065,21124,21125)+3 种基金the Innovative Research Projects for Graduate Students of Hainan Province(No.Qhyb2023-20)the Collaborative Innovation Center of Marine Science and Technology of Hainan University(No.XTCX2022HYC21)the first batch of“Nanhai New Star”Industrial Innovation Talent Platform Project(No.NHXXRCXM202309006)the specific research fund of The Innovation Platform for Academicians of Hainan Province。
文摘The realization of high-efficiency photocatalysis is greatly meaningful to overcome the issues of current energy and environment,in which the core factor is the exploration of photocatalysts with promising semiconductor properties.The Cu-based metal sulfide photocatalysts of CuSbS_(2)and its derivative of bournonite CuPbSbS_(3)possess the features of earth-abundant elements,strong photostability,visiblelight range bandgap,and high absorption coefficient,possessing great potential for the realization of efficient photocatalytic applications.Although the photocatalysts of CuSbS_(2)and CuPbSbS_(3)have been investigated in photocatalysis application of hydrogen production and degradation,the exploration process is still in the early-development stage.In this review,the design concept and semiconductor properties of CuSbS_(2)and CuPbSbS_(3)are firstly introduced.Subsequently,the photocatalytic applications of CuSbS_(2)and CuPbSbS_(3)photocatalysts,mainly including hydrogen production and degradation,are systematically reviewed.Finally,the challenges and prospects for the further exploration of CuSbS_(2)and CuPbSbS_(3)photocatalysts are provided.
基金Entrepreneurial and innovative team project of Ningbo Yinzhou District,Grant/Award Number:X.W.National Natural Science Foundation of China,Grant/Award Number:22379047Talent research start-up project of Zhejiang Wanli University,Grant/Award Number:SC1032345280480。
文摘The electrocatalytic water-splitting process is widely acknowledged as the most sustainable and environmentally friendly technology for hydrogen(H2)production.However,its energy efficiency is significantly constrained by the kinetically slow oxygen evolution reaction(OER)at the anode,which accounts for about 90%of the electrical energy consumption in the water-splitting process.A new strategy is urgently needed to reduce its energy consumption.In recent years,electrochemical oxidation of small molecules has been considered for replacement of OER for efficient H2 production,due to its benign operational conditions,low theoretical thermodynamic potential,high conversion efficiency and selectivity,and environmental sustainability.Hybrid electrolysis systems,by integrating cathodic hydrogen evolution reaction with anodic oxidation of small molecules,have been introduced,which can generate high-purity H2 and produce value-added products or pollutant degradation.In this review,we highlight the recent advancements and significant milestones achieved in hybrid water electrolysis systems.The focus is on non-noble metal electrocatalysts,reaction mechanisms,and the construction of electrolyzers.Additionally,we present the prevailing challenges and future perspectives pertinent to the evolution of this burgeoning technology.
基金Project supported by the National Natural Science Foundation of China(Grant No.12164030)Young Science and Technology Talents of Inner Mongolia,China(Grant No.NJYT22101)+1 种基金the Central Government Guides Local Science,the Technology Development Fund Projects(Grant No.2023ZY0005)the Science and Technology Plan Projects of Inner Mongolia Autonomous Region of China(Grant No.2023KYPT0012)。
文摘In the last few years,research on advanced ultrafast photonic devices has attracted great interest from laser physicists.As a semiconductor material with excellent nonlinear saturation absorption characteristics,Ga As has been used in solidstate and fiber lasers as a mode-locker.However,the pulse widths that have been reported in the searchable published literature are all long and the shortest is tens of picoseconds.Femtosecond pulse widths,desired for a variety of applications,have not yet been reported in Ga As-based pulsed lasers.In this work,we further explore the nonlinear characteristics of Ga As that has been magnetron sputtered onto the surface of a tapered fiber and its application in the generation of femtosecond lasing via effective dispersion optimization and nonlinearity management.With the enhanced interaction between evanescent waves and Ga As nanosheets,mode-locked soliton pulses as short as 830 fs are generated at repetition rates of 4.64 MHz.As far as we know,this is the first time that femtosecond-level pulses have been generated with a Ga As-based saturable absorber.In addition,soliton molecules,including in the dual-pulse state,are also realized under stronger pumping.This work demonstrates that Ga As-based photonic devices have good application prospects in effective polymorphous ultrashort pulsed laser generation.
基金supported by the National Natural Science Foundation of China(Grant Nos.62472149,62376089,62202147)Hubei Provincial Science and Technology Plan Project(2023BCB04100).
文摘Accurate traffic flow prediction has a profound impact on modern traffic management. Traffic flow has complex spatial-temporal correlations and periodicity, which poses difficulties for precise prediction. To address this problem, a Multi-head Self-attention and Spatial-Temporal Graph Convolutional Network (MSSTGCN) for multiscale traffic flow prediction is proposed. Firstly, to capture the hidden traffic periodicity of traffic flow, traffic flow is divided into three kinds of periods, including hourly, daily, and weekly data. Secondly, a graph attention residual layer is constructed to learn the global spatial features across regions. Local spatial-temporal dependence is captured by using a T-GCN module. Thirdly, a transformer layer is introduced to learn the long-term dependence in time. A position embedding mechanism is introduced to label position information for all traffic sequences. Thus, this multi-head self-attention mechanism can recognize the sequence order and allocate weights for different time nodes. Experimental results on four real-world datasets show that the MSSTGCN performs better than the baseline methods and can be successfully adapted to traffic prediction tasks.
文摘Because of the developed economy and lush vegetation in southern China, the following obstacles or difficulties exist in remote sensing land surface classification: 1) Diverse surface composition types;2) Undulating terrains;3) Small fragmented land;4) Indistinguishable shadows of surface objects. It is our top priority to clarify how to use the concept of big data (Data mining technology) and various new technologies and methods to make complex surface remote sensing information extraction technology develop in the direction of automation, refinement and intelligence. In order to achieve the above research objectives, the paper takes the Gaofen-2 satellite data produced in China as the data source, and takes the complex surface remote sensing information extraction technology as the research object, and intelligently analyzes the remote sensing information of complex surface on the basis of completing the data collection and preprocessing. The specific extraction methods are as follows: 1) extraction research on fractal texture features of Brownian motion;2) extraction research on color features;3) extraction research on vegetation index;4) research on vectors and corresponding classification. In this paper, fractal texture features, color features, vegetation features and spectral features of remote sensing images are combined to form a combination feature vector, which improves the dimension of features, and the feature vector improves the difference of remote sensing features, and it is more conducive to the classification of remote sensing features, and thus it improves the classification accuracy of remote sensing images. It is suitable for remote sensing information extraction of complex surface in southern China. This method can be extended to complex surface area in the future.
文摘The Guidelines for the Construction of Ideological and Political Education in Courses at Institutions of Higher Learning emphasizes that“the construction of ideological and political education in courses is an important task for comprehensively improving the quality of talent cultivation”and“clarifying the target requirements and key content of the construction of ideological and political education in courses.”In vocational colleges,as an important discipline in the field of information technology,the construction of ideological and political education in software technology courses is of great significance for cultivating students’comprehensive qualities and establishing correct values.Based on sorting out the core literacy of the construction of ideological and political education in software technology courses,this article actively explores its construction path,hoping to provide references for relevant educators.
文摘Taking the Dapingzhang copper-polymetallic deposit in Yunnan Province, China as the research object, the maximum entropy model was used to extract the mining information, and the mineral resource prediction model was established by using the exploration data of the deposit and related regions in this area, so as to determine the prospecting prospect area in the study area. In this paper, the Jacknife analysis module of maximum entropy model is used to quantitatively rank the importance of 39 geochemical element variables, and finally obtain the prospecting prospect map of the study area. The research results show that the Dapingzhang mining area has the potential to find hidden ore in the deep and surrounding areas, and the northern and southern ends and western sides of the rock ore control structural belt in the eastern region of the mining area have good prospecting prospects. The research results provide an important basis for the deployment of follow-up exploration work in the study area, and the maximum entropy model has a good application effect in mineral resources exploration.
文摘The susceptibility evaluation of landslides has become one of the key environmental issues that people are concerned about. This study took the land-slides in Xishuangbanna, Yunnan Province as the study object, and selected 10 evaluation factors such as digital elevation model (DEM), slope aspect, precipitation, land use, water system, roads, population density, lithology, faults, and NDVI. Different machine learning methods were compared and studied, and the ROC (receiver operating characteristics) curve verification revealed that the accuracy of the random forest evaluation model was high. In the prediction and evaluation of the susceptibility of landslides, five risk levels were divided. After the superimposed analysis, 87.26% of the disaster points fell in the first and second susceptibility areas. The spot analysis found that the distribution of hot spots is consistent with the distribution of disaster spots. In a word, the results of this study can provide better technical support for the evaluation and early warning of landslides in Southwest China.
文摘The land cover types in South China are varied, and the terrain is undulating, and the area of different land types is small, and the remote sensing monitoring work was difficult. In order to solve these problems, an automatic classification method based on transfer learning and convolutional neural network model was established in this paper, with a total classification accuracy of 98.1611%. This paper proposes a land use classification remote sensing method based on deep learning, which improved the automation level and monitoring accuracy of complex land surface remote sensing monitoring in South China, and it provided technical support for the land consolidation work in China.
文摘In this paper, Hailin City of Heilongjiang Province, China is taken as the research area. As an important city in Heilongjiang Province, China, the sustainable development of its ecological environment is related to the opening up, economic prosperity and social stability of Northeast China. In this paper, the remote sensing ecological index (RSEI) of Hailin City in recent 20 years was calculated by using Landsat 5/8/9 series satellite images, and the temporal and spatial changes of the ecological environment in Hailin City were further analyzed and the influencing factors were discussed. From 2003 to 2023, the mean value of RSEI in Hailin City decreased and increased, and the ecological environment decreased slightly as a whole. RSEI declined most significantly from 2003 to 2008, and it increased from 2008 to 2013, decreased from 2013 to 2018, and increased from 2018 to 2023 again, with higher RSEI value in the south and lower RSEI value in the northwest. It is suggested to appropriately increase vegetation coverage in the northwest to improve ecological quality. As a result, the predicted value of Elman dynamic recurrent neural network model is consistent with the change trend of the mean value, and the prediction error converges quickly, which can accurately predict the ecological environment quality in the future study area.
