Flood regulation service(FRS)stands as one of the key benefits that people get from the ecosystem.Under the influence of climate change and human activities,the relationship between supply and demand of FRS would incr...Flood regulation service(FRS)stands as one of the key benefits that people get from the ecosystem.Under the influence of climate change and human activities,the relationship between supply and demand of FRS would increasingly affect regional flood risk and sustainable development.However,there was currently a lack of systematic study on the future supply-demand relationship of FRS in the flood-vulnerable area undergoing rapidly development in China.This study integrated the Scenario Model Intercomparison Project(ScenarioMIP)with the Shared Socioeconomic Pathways(SSPs)datasets and climate model data to quantify the supply-demand ratio(SDR)of FRS in the Yangtze River Delta(YRD),China from 2020 to 2050.Trend analyses were conducted using linear regres-sion,Theil-Sen median estimation,and Hurst exponent analysis,while key drivers of SDR changes were identified and quantified through the Lindeman-Merenda-Gold(LMG)method between 2021 and 2050.Results show that the supply of FRS in the YRD was generally insufficient to meet the demand.The imbalanced subbasins covered 88.24%of the total study area,with 34.48%of this imbal-anced area concentrated in the Southeastern Basin in China.During 2021 and 2050,the imbalance of FRS supply-demand relationship would largely aggravate in the YRD,of which the aggravated area would account for 77.23%.Under different scenarios,the SDR for FRS would decrease significantly,with rates ranging from-5.45×10^(-4) to-2.06×10^(-4)(P<0.05).Especially,the decline rate of SDR in the YRD Basin(DeltaB)reached 2.92 times that the average of YRD.Human activities were the primary factors that exacerbated the imbalance in FRS supply-demand relationship,of which the relative contribution rate exceeds 75%.Particular attention should be direc-ted toward critical regions like the Southeast Basin in China(SEB)and DeltaB where substantial aggravation of supply-demand imbal-ances of FRS is projected.展开更多
Previous studies have often focused on monitoring grassland growth as the primary target of remote sensing investigations on grassland ecological restoration in the northern Tibetan Plateau,overlooking the crucial rol...Previous studies have often focused on monitoring grassland growth as the primary target of remote sensing investigations on grassland ecological restoration in the northern Tibetan Plateau,overlooking the crucial role played by gravel in the ecological restoration of these grasslands.This study utilizes supervised classification and segmentation techniques based on machine learning to extract gravel morphology profiles from field-sampled plot images and calculate their characteristic parameters.Employing a multivariate linear approach combined with Principal Component Analysis(PCA),a model for inferring gravel characteristic parameters is constructed.Statistical features,particle size characteristics,and spatial distribution patterns of gravel are analyzed.Results reveal that gravel predominantly exhibit sub-rounded shapes,with 80%classified as fine gravel.The coefficients of determination(R2)between gravel particle size and coverage,perimeter,and area are 0.444,0.724,and 0.557,respectively,indicating linear relationships.The cumulative contribution rate of the top five remote sensing factors is 95.44%,with the first geological factor contributing 77.64%,collectively reflecting the primary information of the 20 factors used.Modeling shows that areas with larger gravel particle sizes correspond to increased perimeter and coverage.Gravels in the Nagqu Prefecture of northern Xizang have a particle size range of 4-8 mm,primarily comprising fine gravel which accounts for 94.61%.These findings provide a scientific basis for extracting gravel characteristic parameters and understanding their spatial distribution variations in the northern Tibetan Plateau.展开更多
Steel-concrete composite beams,due to their superior mechanical properties,are widely utilized in engineering structures.This study systematically investigates the calculation methods for internal forces and load-bear...Steel-concrete composite beams,due to their superior mechanical properties,are widely utilized in engineering structures.This study systematically investigates the calculation methods for internal forces and load-bearing capacity of composite beams based on elastic theory,with a focus on the transformed section method and its application under varying neutral axis positions.By deriving the geometric characteristics of the transformed section and incorporating a reduction factor accounting for slip effects,a computational model for sectional stress and ultimate load-bearing capacity is established.The results demonstrate that the slip effect significantly influences the flexural load-bearing capacity of composite beams.The proposed reduction factor,which considers the influence of the steel beam’s top flange thickness,offers higher accuracy compared to traditional methods.These findings provide a theoretical foundation for the design and analysis of composite beams,with significant practical engineering value.展开更多
Binary azeotropes, which contain two chemicals with a relative volatility of 1, are very common in the chemical industry. Understanding azeotropes is essential for effectively separating binary azeotropes containing l...Binary azeotropes, which contain two chemicals with a relative volatility of 1, are very common in the chemical industry. Understanding azeotropes is essential for effectively separating binary azeotropes containing lower alcohols. Experimental techniques and ab initio approaches can produce accurate results;however, these two processes are time consuming and labor intensive. Although thermodynamic equations such as UNIFAC are widely used, experimental values are required, and it is difficult to choose the best groups to represent a complex system. Because of their high efficiency and fast calculation speed, quantitative structure–property relationship(QSPR) tools were used in this work to predict the azeotropic temperatures and compositions of binary azeotropes containing lower alcohols. The QSPR models for 64 binary azeotropes based on centroid approximation and weighted-contribution-factor approximation were established using the genetic function approximation(GFA) procedure in Materials Studio software, and a leave-one-out cross-validation procedure was conducted.External tests of an additional 16 azeotropes were also investigated, and high determination coefficient values were obtained. The best QSPR models were explained in terms of the molecular structure of the azeotropes,and good predictive ability was obtained within acceptable prediction error levels.展开更多
Extractive distillation was investigated for separation of the minimum azeotrope of n-propanol/water, via the Aspen Plus simulation platform. Experimental data of n-propanol/water, which could pass the thermodynamic c...Extractive distillation was investigated for separation of the minimum azeotrope of n-propanol/water, via the Aspen Plus simulation platform. Experimental data of n-propanol/water, which could pass the thermodynamic consistency test, were regressed to get suitable binary interaction parameters(BIPs) by the UNIQUAC thermodynamic model. The azeotrope system was heterogeneous in the simulation with built-in BIPs, which was contrary to the experimental data. The study focused on the effect of thermodynamic parameters on the prediction of phase behavior, and process design of extractive distillation. N-methyl-2-pyrrolidone(NMP) and ethylene glycol were used as solvents to implement the separation. Processes with built-in and regressed BIPs were explored,based on the minimum total annual cost(TAC). There were significant differences in the phase behavior simulation using different thermodynamic parameters, which showed the importance of BIPs in the design and optimization of extractive distillation.展开更多
The Dongping deposit is the largest alkalic-hosted gold deposit in China containing>100 t of Au.This paper presents a new understanding for Dongping ore system,based on the previous studies.The mineralization origi...The Dongping deposit is the largest alkalic-hosted gold deposit in China containing>100 t of Au.This paper presents a new understanding for Dongping ore system,based on the previous studies.The mineralization originally occurred at 400-380 Ma,simultaneous with emplacement of the Shuiquangou alkaline complex,and was overprinted by the hydrothermal activity in the Yanshanian.Isotope compositions of ores indicate metals of the deposit are mainly provided by the Shuiquangou complex.Ore-forming fluids are characterized by increasing oxygen fugacity and decreasing sulfur fugacity,while tellurium fugacity increased in the Stage II-2 and decreased in Stage II-3.These systematic changes are closely related to the processes of mineral precipitation and fluid evolution.Sulfide precipitation from Stage Ⅰ to Stage Ⅱ was triggered by fluid boiling,which leads to the precipitation of Pb-Bi-Te,due to decrement of sulfur fugacity.Condensation of gas phase containing high concentration of H_2Te leads to precipitation of Te-Au-Ag minerals and native tellurium.Based on these hypotheses,this paper present a polyphase metallogenic model as follow.During the Devonian,fluids were released from alkaline magmas,which carried ore-forming materials form the surrounding rocks and precipitate the early ores.During the Jurassic-Cretaceous,fluorine-rich fluids exsolved from highly factionated Shangshuiquan granite,which extracted and concentrated Au from the Shuiquangou complex and the Sanggan Group metamorphic rocks,and finally formed the Dongping gold deposit.展开更多
A comprehensive understanding of spatial distribution and clustering patterns of gravels is of great significance for ecological restoration and monitoring.However,traditional methods for studying gravels are low-effi...A comprehensive understanding of spatial distribution and clustering patterns of gravels is of great significance for ecological restoration and monitoring.However,traditional methods for studying gravels are low-efficiency and have many errors.This study researched the spatial distribution and cluster characteristics of gravels based on digital image processing technology combined with a self-organizing map(SOM)and multivariate statistical methods in the grassland of northern Tibetan Plateau.Moreover,the correlation of morphological parameters of gravels between different cluster groups and the environmental factors affecting gravel distribution were analyzed.The results showed that the morphological characteristics of gravels in northern region(cluster C)and southern region(cluster B)of the Tibetan Plateau were similar,with a low gravel coverage,small gravel diameter,and elongated shape.These regions were mainly distributed in high mountainous areas with large topographic relief.The central region(cluster A)has high coverage of gravels with a larger diameter,mainly distributed in high-altitude plains with smaller undulation.Principal component analysis(PCA)results showed that the gravel distribution of cluster A may be mainly affected by vegetation,while those in clusters B and C could be mainly affected by topography,climate,and soil.The study confirmed that the combination of digital image processing technology and SOM could effectively analyzed the spatial distribution characteristics of gravels,providing a new mode for gravel research.展开更多
With the rapid development of the social economy,the pace of urban-rural integration construction has been accelerating continuously.From the actual situation at this stage,it is necessary to maintain the sound relati...With the rapid development of the social economy,the pace of urban-rural integration construction has been accelerating continuously.From the actual situation at this stage,it is necessary to maintain the sound relationship of coordination,interaction and mutual advance between the city and the village.In the process of building urban-rural integration,we should focus on strengthening the development of land management,so as to improve the rationality of land development and utilization,and maximize the value of land while protecting rural farmland resources.The author explores and analyzes the problems existing in the land management work in the urban-rural integration construction.An effective way is put forward to carry out land management work in urban and rural integration construction,which contributes to the improvement of the quality of land management work.展开更多
Through the study on data of analytic tree, the fitting empirical equation for tree growth was obtained, i.e. , the function with increment as variable and annual precipitation as the independent variable. The thresho...Through the study on data of analytic tree, the fitting empirical equation for tree growth was obtained, i.e. , the function with increment as variable and annual precipitation as the independent variable. The threshold value of annual precipitation for tree growth was obtained through mathematical operation including derivation. It was concluded that Larix gmelinii grows the fast under the annual precipitation of about 545.1 mm, and negative growth would occur if the annual precipitation is lower than 349 mm and higher than 1 132.8 mm. Furthermore, the application value, research direction and matters needing attention were pointed out.展开更多
In recent years, various industries in our country have attached great importance to low-carbon economy in the development process. Improving the development level of low-carbon economy plays an important role in envi...In recent years, various industries in our country have attached great importance to low-carbon economy in the development process. Improving the development level of low-carbon economy plays an important role in environmental protection, promoting the optimization and adjustment of economic structure, improving domestic energy use efficiency and domestic new energy development. Low-carbon economy affects people's living environment, health and normal production activities. Low-carbon environmental awareness and concept have gradually spread in all walks of life. Based on the background of low-carbon economy, this paper discusses the innovative development of real estate economic management under the background of low-carbon economy.展开更多
Jasmonic acid is a crucial phytohormone that plays a pivotal role,serving as a regulator to balancing plant development and resistance.However,there are analogous and distinctive characteristics exhibited in JA biosyn...Jasmonic acid is a crucial phytohormone that plays a pivotal role,serving as a regulator to balancing plant development and resistance.However,there are analogous and distinctive characteristics exhibited in JA biosynthesis,perception,and signal transduction pathways in both herbaceous and woody plants.Moreover,the majority of research subjects have predominantly focused on the function of JA in model or herbaceous plants.Consequently,there is a significant paucity of studies investigating JA regulation networks in woody plants,particularly concerning post-transcriptional regulatory events such as alternative splicing(AS).This review article aims to conduct a comprehensive summary of advancements that JA signals regulate plant development across various woody species,comparing the analogous features and regulatory differences to herbaceous counterparts.In addition,we summarized the involvement of AS events including splicing factor(SF)and transcripts in the JA regulatory network,highlighting the effectiveness of high-throughput proteogenomic methods.A better understanding of the JA signaling pathway in woody plants has pivotal implications for forestry production,including optimizing plant management and enhancing secondary metabolite production.展开更多
A modern teaching support platform was designed based on application integration and the Nolan model. The system design used top-level design, information-sharing, management modeling, and user experience. The system ...A modern teaching support platform was designed based on application integration and the Nolan model. The system design used top-level design, information-sharing, management modeling, and user experience. The system emphasized openness, compatibility, security, extensibility, and practicability. Multi-department management is realized by dividing function domains. Intercommunications and intercon-nections use a level-division modular design, so the system can be easily extended. The teaching support platform is people oriented with people foremost environment for the users, the associated application environment, the integrated data environment, and the operating environment for high availability. The system plays an important role in university information construction.展开更多
The rapid development of China＇s chemical industry has created increasing pressure to improve the environmental management of chemicals. To bridge the large gap between the use and safe management of chemicals, we pe...The rapid development of China＇s chemical industry has created increasing pressure to improve the environmental management of chemicals. To bridge the large gap between the use and safe management of chemicals, we performed a comprehensive review of the international methods used to prioritize chemicals for environmental management. By comparing domestic and foreign methods, we confirmed the presence of this gap and identified potential solutions. Based on our literature review, we developed an appropriate screening method that accounts for the unique characteristics of chemical use within China. The proposed method is based on an evaluation using nine indices of the potential hazard posed by a chemical： three environmental hazard indices （persistence, bioaccumulation, and eco-toxicity）, four health hazard indices （acute toxicity, carcinogenicity, mutagenicity, and reproductive and developmental toxi- city）, and two environmental exposure hazard indices （chemical amount and utilization pattern）. The results of our screening agree with results of previous efforts from around the world, confirming the validity of the new system. The classification method will help decision- makers to prioritize and identify the chemicals with the highest environmental risk, thereby providing a basis for improving chemical management in China.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.42101251)。
文摘Flood regulation service(FRS)stands as one of the key benefits that people get from the ecosystem.Under the influence of climate change and human activities,the relationship between supply and demand of FRS would increasingly affect regional flood risk and sustainable development.However,there was currently a lack of systematic study on the future supply-demand relationship of FRS in the flood-vulnerable area undergoing rapidly development in China.This study integrated the Scenario Model Intercomparison Project(ScenarioMIP)with the Shared Socioeconomic Pathways(SSPs)datasets and climate model data to quantify the supply-demand ratio(SDR)of FRS in the Yangtze River Delta(YRD),China from 2020 to 2050.Trend analyses were conducted using linear regres-sion,Theil-Sen median estimation,and Hurst exponent analysis,while key drivers of SDR changes were identified and quantified through the Lindeman-Merenda-Gold(LMG)method between 2021 and 2050.Results show that the supply of FRS in the YRD was generally insufficient to meet the demand.The imbalanced subbasins covered 88.24%of the total study area,with 34.48%of this imbal-anced area concentrated in the Southeastern Basin in China.During 2021 and 2050,the imbalance of FRS supply-demand relationship would largely aggravate in the YRD,of which the aggravated area would account for 77.23%.Under different scenarios,the SDR for FRS would decrease significantly,with rates ranging from-5.45×10^(-4) to-2.06×10^(-4)(P<0.05).Especially,the decline rate of SDR in the YRD Basin(DeltaB)reached 2.92 times that the average of YRD.Human activities were the primary factors that exacerbated the imbalance in FRS supply-demand relationship,of which the relative contribution rate exceeds 75%.Particular attention should be direc-ted toward critical regions like the Southeast Basin in China(SEB)and DeltaB where substantial aggravation of supply-demand imbal-ances of FRS is projected.
基金funded by the Major R&D and Achievement Transformation Projects of Xizang(CGZH2024000416)Science and Technology Program of Xizang(XZ202402ZD0001)Major R&D and Achievement Transformation Projects of Qinghai(2022-QY-224)。
文摘Previous studies have often focused on monitoring grassland growth as the primary target of remote sensing investigations on grassland ecological restoration in the northern Tibetan Plateau,overlooking the crucial role played by gravel in the ecological restoration of these grasslands.This study utilizes supervised classification and segmentation techniques based on machine learning to extract gravel morphology profiles from field-sampled plot images and calculate their characteristic parameters.Employing a multivariate linear approach combined with Principal Component Analysis(PCA),a model for inferring gravel characteristic parameters is constructed.Statistical features,particle size characteristics,and spatial distribution patterns of gravel are analyzed.Results reveal that gravel predominantly exhibit sub-rounded shapes,with 80%classified as fine gravel.The coefficients of determination(R2)between gravel particle size and coverage,perimeter,and area are 0.444,0.724,and 0.557,respectively,indicating linear relationships.The cumulative contribution rate of the top five remote sensing factors is 95.44%,with the first geological factor contributing 77.64%,collectively reflecting the primary information of the 20 factors used.Modeling shows that areas with larger gravel particle sizes correspond to increased perimeter and coverage.Gravels in the Nagqu Prefecture of northern Xizang have a particle size range of 4-8 mm,primarily comprising fine gravel which accounts for 94.61%.These findings provide a scientific basis for extracting gravel characteristic parameters and understanding their spatial distribution variations in the northern Tibetan Plateau.
文摘Steel-concrete composite beams,due to their superior mechanical properties,are widely utilized in engineering structures.This study systematically investigates the calculation methods for internal forces and load-bearing capacity of composite beams based on elastic theory,with a focus on the transformed section method and its application under varying neutral axis positions.By deriving the geometric characteristics of the transformed section and incorporating a reduction factor accounting for slip effects,a computational model for sectional stress and ultimate load-bearing capacity is established.The results demonstrate that the slip effect significantly influences the flexural load-bearing capacity of composite beams.The proposed reduction factor,which considers the influence of the steel beam’s top flange thickness,offers higher accuracy compared to traditional methods.These findings provide a theoretical foundation for the design and analysis of composite beams,with significant practical engineering value.
基金Supported by the National Natural Science Foundation of China(21776145,21676152)Key Research Project of Shandong Province(2016GSF116004)
文摘Binary azeotropes, which contain two chemicals with a relative volatility of 1, are very common in the chemical industry. Understanding azeotropes is essential for effectively separating binary azeotropes containing lower alcohols. Experimental techniques and ab initio approaches can produce accurate results;however, these two processes are time consuming and labor intensive. Although thermodynamic equations such as UNIFAC are widely used, experimental values are required, and it is difficult to choose the best groups to represent a complex system. Because of their high efficiency and fast calculation speed, quantitative structure–property relationship(QSPR) tools were used in this work to predict the azeotropic temperatures and compositions of binary azeotropes containing lower alcohols. The QSPR models for 64 binary azeotropes based on centroid approximation and weighted-contribution-factor approximation were established using the genetic function approximation(GFA) procedure in Materials Studio software, and a leave-one-out cross-validation procedure was conducted.External tests of an additional 16 azeotropes were also investigated, and high determination coefficient values were obtained. The best QSPR models were explained in terms of the molecular structure of the azeotropes,and good predictive ability was obtained within acceptable prediction error levels.
基金Supported by the National Natural Science Foundation of China(21676152)the Key Research Project of Shandong Province(2016GSF116004)
文摘Extractive distillation was investigated for separation of the minimum azeotrope of n-propanol/water, via the Aspen Plus simulation platform. Experimental data of n-propanol/water, which could pass the thermodynamic consistency test, were regressed to get suitable binary interaction parameters(BIPs) by the UNIQUAC thermodynamic model. The azeotrope system was heterogeneous in the simulation with built-in BIPs, which was contrary to the experimental data. The study focused on the effect of thermodynamic parameters on the prediction of phase behavior, and process design of extractive distillation. N-methyl-2-pyrrolidone(NMP) and ethylene glycol were used as solvents to implement the separation. Processes with built-in and regressed BIPs were explored,based on the minimum total annual cost(TAC). There were significant differences in the phase behavior simulation using different thermodynamic parameters, which showed the importance of BIPs in the design and optimization of extractive distillation.
基金financially supported by the project of the China Geological Survey(DD20230292,DD20242591)。
文摘The Dongping deposit is the largest alkalic-hosted gold deposit in China containing>100 t of Au.This paper presents a new understanding for Dongping ore system,based on the previous studies.The mineralization originally occurred at 400-380 Ma,simultaneous with emplacement of the Shuiquangou alkaline complex,and was overprinted by the hydrothermal activity in the Yanshanian.Isotope compositions of ores indicate metals of the deposit are mainly provided by the Shuiquangou complex.Ore-forming fluids are characterized by increasing oxygen fugacity and decreasing sulfur fugacity,while tellurium fugacity increased in the Stage II-2 and decreased in Stage II-3.These systematic changes are closely related to the processes of mineral precipitation and fluid evolution.Sulfide precipitation from Stage Ⅰ to Stage Ⅱ was triggered by fluid boiling,which leads to the precipitation of Pb-Bi-Te,due to decrement of sulfur fugacity.Condensation of gas phase containing high concentration of H_2Te leads to precipitation of Te-Au-Ag minerals and native tellurium.Based on these hypotheses,this paper present a polyphase metallogenic model as follow.During the Devonian,fluids were released from alkaline magmas,which carried ore-forming materials form the surrounding rocks and precipitate the early ores.During the Jurassic-Cretaceous,fluorine-rich fluids exsolved from highly factionated Shangshuiquan granite,which extracted and concentrated Au from the Shuiquangou complex and the Sanggan Group metamorphic rocks,and finally formed the Dongping gold deposit.
基金funded by the National Natural Science Foundation of China(41971226,41871357)the Major Research and Development and Achievement Transformation Projects of Qinghai,China(2022-QY-224)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA28110502,XDA19030303).
文摘A comprehensive understanding of spatial distribution and clustering patterns of gravels is of great significance for ecological restoration and monitoring.However,traditional methods for studying gravels are low-efficiency and have many errors.This study researched the spatial distribution and cluster characteristics of gravels based on digital image processing technology combined with a self-organizing map(SOM)and multivariate statistical methods in the grassland of northern Tibetan Plateau.Moreover,the correlation of morphological parameters of gravels between different cluster groups and the environmental factors affecting gravel distribution were analyzed.The results showed that the morphological characteristics of gravels in northern region(cluster C)and southern region(cluster B)of the Tibetan Plateau were similar,with a low gravel coverage,small gravel diameter,and elongated shape.These regions were mainly distributed in high mountainous areas with large topographic relief.The central region(cluster A)has high coverage of gravels with a larger diameter,mainly distributed in high-altitude plains with smaller undulation.Principal component analysis(PCA)results showed that the gravel distribution of cluster A may be mainly affected by vegetation,while those in clusters B and C could be mainly affected by topography,climate,and soil.The study confirmed that the combination of digital image processing technology and SOM could effectively analyzed the spatial distribution characteristics of gravels,providing a new mode for gravel research.
文摘With the rapid development of the social economy,the pace of urban-rural integration construction has been accelerating continuously.From the actual situation at this stage,it is necessary to maintain the sound relationship of coordination,interaction and mutual advance between the city and the village.In the process of building urban-rural integration,we should focus on strengthening the development of land management,so as to improve the rationality of land development and utilization,and maximize the value of land while protecting rural farmland resources.The author explores and analyzes the problems existing in the land management work in the urban-rural integration construction.An effective way is put forward to carry out land management work in urban and rural integration construction,which contributes to the improvement of the quality of land management work.
文摘Through the study on data of analytic tree, the fitting empirical equation for tree growth was obtained, i.e. , the function with increment as variable and annual precipitation as the independent variable. The threshold value of annual precipitation for tree growth was obtained through mathematical operation including derivation. It was concluded that Larix gmelinii grows the fast under the annual precipitation of about 545.1 mm, and negative growth would occur if the annual precipitation is lower than 349 mm and higher than 1 132.8 mm. Furthermore, the application value, research direction and matters needing attention were pointed out.
文摘In recent years, various industries in our country have attached great importance to low-carbon economy in the development process. Improving the development level of low-carbon economy plays an important role in environmental protection, promoting the optimization and adjustment of economic structure, improving domestic energy use efficiency and domestic new energy development. Low-carbon economy affects people's living environment, health and normal production activities. Low-carbon environmental awareness and concept have gradually spread in all walks of life. Based on the background of low-carbon economy, this paper discusses the innovative development of real estate economic management under the background of low-carbon economy.
基金supported by the Natural Science Foundation of Jiangsu Province(BK20221334)the Jiangsu Agricultural Science and Technology Innovation Fund(CX(21)2023)+2 种基金the Science Technology and Innovation Committee of Shenzhen(JCYJ20210324115408023)the Major Project of Natural Science Research in Colleges of Jiangsu Province(20KJA220001)the Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX23_1115).
文摘Jasmonic acid is a crucial phytohormone that plays a pivotal role,serving as a regulator to balancing plant development and resistance.However,there are analogous and distinctive characteristics exhibited in JA biosynthesis,perception,and signal transduction pathways in both herbaceous and woody plants.Moreover,the majority of research subjects have predominantly focused on the function of JA in model or herbaceous plants.Consequently,there is a significant paucity of studies investigating JA regulation networks in woody plants,particularly concerning post-transcriptional regulatory events such as alternative splicing(AS).This review article aims to conduct a comprehensive summary of advancements that JA signals regulate plant development across various woody species,comparing the analogous features and regulatory differences to herbaceous counterparts.In addition,we summarized the involvement of AS events including splicing factor(SF)and transcripts in the JA regulatory network,highlighting the effectiveness of high-throughput proteogenomic methods.A better understanding of the JA signaling pathway in woody plants has pivotal implications for forestry production,including optimizing plant management and enhancing secondary metabolite production.
基金Supported by the National Education Promoting Program of China(No. 054500001)the Beijing Teaching Reformation and Research Program for Higher Education (No. 110000014)
文摘A modern teaching support platform was designed based on application integration and the Nolan model. The system design used top-level design, information-sharing, management modeling, and user experience. The system emphasized openness, compatibility, security, extensibility, and practicability. Multi-department management is realized by dividing function domains. Intercommunications and intercon-nections use a level-division modular design, so the system can be easily extended. The teaching support platform is people oriented with people foremost environment for the users, the associated application environment, the integrated data environment, and the operating environment for high availability. The system plays an important role in university information construction.
文摘The rapid development of China＇s chemical industry has created increasing pressure to improve the environmental management of chemicals. To bridge the large gap between the use and safe management of chemicals, we performed a comprehensive review of the international methods used to prioritize chemicals for environmental management. By comparing domestic and foreign methods, we confirmed the presence of this gap and identified potential solutions. Based on our literature review, we developed an appropriate screening method that accounts for the unique characteristics of chemical use within China. The proposed method is based on an evaluation using nine indices of the potential hazard posed by a chemical： three environmental hazard indices （persistence, bioaccumulation, and eco-toxicity）, four health hazard indices （acute toxicity, carcinogenicity, mutagenicity, and reproductive and developmental toxi- city）, and two environmental exposure hazard indices （chemical amount and utilization pattern）. The results of our screening agree with results of previous efforts from around the world, confirming the validity of the new system. The classification method will help decision- makers to prioritize and identify the chemicals with the highest environmental risk, thereby providing a basis for improving chemical management in China.
