The rice industry in Wuchang City has the advantages of improved varieties,well-known brands,technology management practices,and also the disadvantages of low coverage of farmer associations,single product variety,low...The rice industry in Wuchang City has the advantages of improved varieties,well-known brands,technology management practices,and also the disadvantages of low coverage of farmer associations,single product variety,low level of deep processing and inefficient quality control.In this article,we analyze the current situation of the rice industry in Wuchang City,and point out some problems in the circulation system of Wuchang rice.Finally,we put forth the following recommendations:supporting the building of farmer associations and strengthening the farmers'bargaining power and status in the market;supporting the leading enterprises to develop many rice product varieties and improve the deep processing capacity;further improving the support service system.展开更多
"Three Cities and Three Capitals"is a city brand that Chengdu has been vigorously building.Based on the analysis of the brand construction background,the brand building of Jiezi Ancient Town,and the problems..."Three Cities and Three Capitals"is a city brand that Chengdu has been vigorously building.Based on the analysis of the brand construction background,the brand building of Jiezi Ancient Town,and the problems existing in the current brand building of Jiezi Ancient Town,this paper puts forward suggestions,including reconstruction of cultural resources,building an industrial framework,and giving full play to the role of market entities,so as to provide guidance for the cultivation of the brand characteristics in the ancient town and better shape the city brand of"Three Cities and Three Capitals"in Chengdu.展开更多
With the support of edge computing,the synergy and collaboration among central cloud,edge cloud,and terminal devices form an integrated computing ecosystem known as the cloud-edge-client architecture.This integration ...With the support of edge computing,the synergy and collaboration among central cloud,edge cloud,and terminal devices form an integrated computing ecosystem known as the cloud-edge-client architecture.This integration unlocks the value of data and computational power,presenting significant opportunities for large-scale 3D scene modeling and XR presentation.In this paper,we explore the perspectives and highlight new challenges in 3D scene modeling and XR presentation based on point cloud within the cloud-edge-client integrated architecture.We also propose a novel cloud-edge-client integrated technology framework and a demonstration of municipal governance application to address these challenges.展开更多
The subsoil contains many evaporites such as limestone,gypsum,and salt.Such rocks are very sensitive to water.The deposit of evaporites raises questions because of their dissolution with time and the mechanical-geotec...The subsoil contains many evaporites such as limestone,gypsum,and salt.Such rocks are very sensitive to water.The deposit of evaporites raises questions because of their dissolution with time and the mechanical-geotechnical impact on the neighboring zone.Depending on the configuration of the site and the location of the rocks,the dissolution can lead to surface subsidence and,for instance,the formation of sinkholes and landslides.In this study,we present an approach that describes the dissolution process and its coupling with geotechnical engineering.In the first part we set the physico-mathematical framework,the hypothesis,and the limitations in which the dissolution process is stated.The physical interface between the fluid and the rock(porous)is represented by a diffuse interface of finite thickness.We briefly describe,in the framework of porous media,the steps needed to upscale the microscopic-scale(pore-scale)model to the macroscopic scale(Darcy scale).Although the constructed method has a large range of application,we will restrict it to saline and gypsum rocks.The second part is mainly devoted to the geotechnical consequences of the dissolution of gypsum material.We then analyze the effect of dissolution in the vicinity of a soil dam or slope and the partial dissolution of a gypsum pillar by a thin layer of water.These theoretical examples show the relevance and the potential of the approach in the general framework of geoengineering problems.展开更多
In this paper, we study the dissolution problems occurring in laterally large 3D systems with very small dimensions along the third coordinate, such as fractures or Hele-Shaw cells. On the basis of the scale separatio...In this paper, we study the dissolution problems occurring in laterally large 3D systems with very small dimensions along the third coordinate, such as fractures or Hele-Shaw cells. On the basis of the scale separation assumption, we apply upscaling to the 3D pore-scale model using the volume averaging method to develop 2D averaged equations. The influence of the choice of momentum equations on the accuracy of the 2D Hele-Shaw model is discussed, and we show that the results obtained using Darcy-Brinkman equations are better than those obtained using Darcy’s law, because of the consideration of the viscous boundary layer. The validity and accuracy of the resulting 2D model are assessed based on comparisons with full 3D solutions for problems corresponding to the existence of geometrical 3D features to which a simple averaging procedure along a line(i.e., the height of the gap) perpendicular to the 2D plane cannot be applied, such as the dissolution of pillars. The results show that when Péclet and Reynolds numbers exceed certain limits, 3D effects must be considered. Moreover, natural convection effects are important when the Rayleigh number is large.展开更多
Specular highlight detection and removal is a fundamental problem in computer vision and image processing.In this paper,we present an efficient endto-end deep learning model for automatically detecting and removing sp...Specular highlight detection and removal is a fundamental problem in computer vision and image processing.In this paper,we present an efficient endto-end deep learning model for automatically detecting and removing specular highlights in a single image.In particular,an encoder–decoder network is utilized to detect specular highlights,and then a novel Unet-Transformer network performs highlight removal;we append transformer modules instead of feature maps in the Unet architecture.We also introduce a highlight detection module as a mask to guide the removal task.Thus,these two networks can be jointly trained in an effective manner.Thanks to the hierarchical and global properties of the transformer mechanism,our framework is able to establish relationships between continuous self-attention layers,making it possible to directly model the mapping between the diffuse area and the specular highlight area,and reduce indeterminacy within areas containing strong specular highlight reflection.Experiments on public benchmark and real-world images demonstrate that our approach outperforms state-of-the-art methods for both highlight detection and removal tasks.展开更多
Pancreatic cancer is one of the leading causes of cancer-related mortality in both developed and developing coun-tries.The incidence of pancreatic cancer in China accounts for about a quater of the global incidence,an...Pancreatic cancer is one of the leading causes of cancer-related mortality in both developed and developing coun-tries.The incidence of pancreatic cancer in China accounts for about a quater of the global incidence,and the epidemiological characteristics and therapeutic strategies differ due to social,economic,cultural,environmental,and public health factors.Non-domestic guidelines do not reflect the clinicopathologic characteristics and treat-ment patterns of Chinese patients.Thus,in 2018,the Chinese Society of Clinical Oncology(CSCO)organized a panel of senior experts from all sub-specialties within the field of pancreatic oncology to compile the Chinese guidelines for the diagnosis and treatment of pancreatic cancer.The guidelines were made based on both the Western and Eastern clinical evidence and updated every one or two years.The experts made consensus judg-ments and classified evidence-based recommendations into various grades according to the regional differences,the accessibility of diagnostic and treatment resources,and health economic indexes in China.Here we present the latest version of the guidelines,which covers the diagnosis,treatment,and follow-up of pancreatic cancer.The guidelines might standardize the diagnosis and treatment of pancreatic cancer in China and will encourage oncologists to design and conduct more clinical trials about pancreatic cancer.展开更多
In this study,the gas-liquid reactive crystallization of LiCl-NH3·H2O-CO2 was adopted to produce Li2CO3.The weakly alkaline nature of NH3·H2O in the absence of any recarbonation process resulted in a unimoda...In this study,the gas-liquid reactive crystallization of LiCl-NH3·H2O-CO2 was adopted to produce Li2CO3.The weakly alkaline nature of NH3·H2O in the absence of any recarbonation process resulted in a unimodal and easily controllable particle size distribution(PSD)of the obtained Li2CO3.The reaction temperature significantly influenced both the Li2CO3 particle size and PSD.By increasing the temperature from 25 to 60℃,the volume weighted mean particle size increased from 50.5 to 100.5μm,respectively.The Li2CO3 secondary nucleation rate and growth rate were obtained by focused beam reflectance measurements and a laser particle size analyzer,respectively.The secondary nucleation rate of Li2CO3 reduced as a function of temperature,whereas the growth rate increased.In addition to improving the surface energy of the crystals to enhance the growth process,higher temperatures also reduced the supersolubility of Li2CO3,which also plays a role to decrease the secondary nucleation rate.At a constant temperature,supersaturation affects the Li2CO3 particle size through the synergistic effect of secondary nucleation and growth.Hence,with improved supersaturation,the mean particle size of Li2CO3 decreased.The results provide a meaningful way to evaluate the crystallization process and to regulate the particle size.展开更多
Flow field is a crucial factor to influence the stability and surface quality in the electrochemical machining(ECM)of blisks.A four-way flow mode was proposed to eliminate mixing regions of electrolyte at the leading ...Flow field is a crucial factor to influence the stability and surface quality in the electrochemical machining(ECM)of blisks.A four-way flow mode was proposed to eliminate mixing regions of electrolyte at the leading and tailing edges.Two flow field models were described separately in this report:a W-shaped flow mode and a four-way flow mode.The flow field was analyzed through a finite element method.The results showed that,in comparison with the W-shaped flow mode,the distribution of electrolyte flow was more uniformed and the mixed region in the flow channel was improved.The pressure of the leading and tailing edges inlets was optimized,and optimal pressure of 0.6 MPa was determined.In addition,verification experiments were performed,and the results showed that the stability,efficiency,and quality of the profiles of the blisk blade manufactured by ECM were enhanced in the new flow mode.展开更多
A discriminative local shape descriptor plays an important role in various applications.In this paper,we present a novel deep learning framework that derives discriminative local descriptors for deformable 3D shapes.W...A discriminative local shape descriptor plays an important role in various applications.In this paper,we present a novel deep learning framework that derives discriminative local descriptors for deformable 3D shapes.We use local"geometry images"to encode the multi-scale local features of a point,via an intrinsic parameterization method based on geodesic polar coordinates.This new parameterization provides robust geometry images even for badly-shaped triangular meshes.Then a triplet network with shared architecture and parameters is used to perform deep metric learning;its aim is to distinguish between similar and dissimilar pairs of points.Additionally,a newly designed triplet loss function is minimized for improved,accurate training of the triplet network.To solve the dense correspondence problem,an efficient sampling approach is utilized to achieve a good compromise between training performance and descriptor quality.During testing,given a geometry image of a point of interest,our network outputs a discriminative local descriptor for it.Extensive testing of non-rigid dense shape matching on a variety of benchmarks demonstrates the superiority of the proposed descriptors over the state-of-the-art alternatives.展开更多
Point distributions with different characteristics have a crucial influence on graphics applications. Various analysis tools have been developed in recent years, mainly for blue noise sampling in Euclidean domains. In...Point distributions with different characteristics have a crucial influence on graphics applications. Various analysis tools have been developed in recent years, mainly for blue noise sampling in Euclidean domains. In this paper, we present a new method to analyze the properties of general sampling patterns that are distributed on mesh surfaces. The core idea is to generalize to surfaces the pair correlation function(PCF) which has successfully been employed in sampling pattern analysis and synthesis in 2D and 3D. Experimental results demonstrate that the proposed approach can reveal correlations of point sets generated by a wide range of sampling algorithms. An acceleration technique is also suggested to improve the performance of the PCF.展开更多
文摘The rice industry in Wuchang City has the advantages of improved varieties,well-known brands,technology management practices,and also the disadvantages of low coverage of farmer associations,single product variety,low level of deep processing and inefficient quality control.In this article,we analyze the current situation of the rice industry in Wuchang City,and point out some problems in the circulation system of Wuchang rice.Finally,we put forth the following recommendations:supporting the building of farmer associations and strengthening the farmers'bargaining power and status in the market;supporting the leading enterprises to develop many rice product varieties and improve the deep processing capacity;further improving the support service system.
文摘"Three Cities and Three Capitals"is a city brand that Chengdu has been vigorously building.Based on the analysis of the brand construction background,the brand building of Jiezi Ancient Town,and the problems existing in the current brand building of Jiezi Ancient Town,this paper puts forward suggestions,including reconstruction of cultural resources,building an industrial framework,and giving full play to the role of market entities,so as to provide guidance for the cultivation of the brand characteristics in the ancient town and better shape the city brand of"Three Cities and Three Capitals"in Chengdu.
基金the National Natural Science Foundation of China(U22B2034)the Fundamental Research Funds for the Central Universities(226-2022-00064).
文摘With the support of edge computing,the synergy and collaboration among central cloud,edge cloud,and terminal devices form an integrated computing ecosystem known as the cloud-edge-client architecture.This integration unlocks the value of data and computational power,presenting significant opportunities for large-scale 3D scene modeling and XR presentation.In this paper,we explore the perspectives and highlight new challenges in 3D scene modeling and XR presentation based on point cloud within the cloud-edge-client integrated architecture.We also propose a novel cloud-edge-client integrated technology framework and a demonstration of municipal governance application to address these challenges.
文摘The subsoil contains many evaporites such as limestone,gypsum,and salt.Such rocks are very sensitive to water.The deposit of evaporites raises questions because of their dissolution with time and the mechanical-geotechnical impact on the neighboring zone.Depending on the configuration of the site and the location of the rocks,the dissolution can lead to surface subsidence and,for instance,the formation of sinkholes and landslides.In this study,we present an approach that describes the dissolution process and its coupling with geotechnical engineering.In the first part we set the physico-mathematical framework,the hypothesis,and the limitations in which the dissolution process is stated.The physical interface between the fluid and the rock(porous)is represented by a diffuse interface of finite thickness.We briefly describe,in the framework of porous media,the steps needed to upscale the microscopic-scale(pore-scale)model to the macroscopic scale(Darcy scale).Although the constructed method has a large range of application,we will restrict it to saline and gypsum rocks.The second part is mainly devoted to the geotechnical consequences of the dissolution of gypsum material.We then analyze the effect of dissolution in the vicinity of a soil dam or slope and the partial dissolution of a gypsum pillar by a thin layer of water.These theoretical examples show the relevance and the potential of the approach in the general framework of geoengineering problems.
基金support from the National Natural Science Foundation of China (Grant No. 12102371)Natural Science Foundation of Sichuan Province,China (Grant No. 2022NSFSC1932)。
文摘In this paper, we study the dissolution problems occurring in laterally large 3D systems with very small dimensions along the third coordinate, such as fractures or Hele-Shaw cells. On the basis of the scale separation assumption, we apply upscaling to the 3D pore-scale model using the volume averaging method to develop 2D averaged equations. The influence of the choice of momentum equations on the accuracy of the 2D Hele-Shaw model is discussed, and we show that the results obtained using Darcy-Brinkman equations are better than those obtained using Darcy’s law, because of the consideration of the viscous boundary layer. The validity and accuracy of the resulting 2D model are assessed based on comparisons with full 3D solutions for problems corresponding to the existence of geometrical 3D features to which a simple averaging procedure along a line(i.e., the height of the gap) perpendicular to the 2D plane cannot be applied, such as the dissolution of pillars. The results show that when Péclet and Reynolds numbers exceed certain limits, 3D effects must be considered. Moreover, natural convection effects are important when the Rayleigh number is large.
基金This work was partially funded by the National Natural Science Foundation of China(U21A20515,62172416,62172415,U2003109)Youth Innovation Promotion Association of the Chinese Academy of Sciences(2022131).
文摘Specular highlight detection and removal is a fundamental problem in computer vision and image processing.In this paper,we present an efficient endto-end deep learning model for automatically detecting and removing specular highlights in a single image.In particular,an encoder–decoder network is utilized to detect specular highlights,and then a novel Unet-Transformer network performs highlight removal;we append transformer modules instead of feature maps in the Unet architecture.We also introduce a highlight detection module as a mask to guide the removal task.Thus,these two networks can be jointly trained in an effective manner.Thanks to the hierarchical and global properties of the transformer mechanism,our framework is able to establish relationships between continuous self-attention layers,making it possible to directly model the mapping between the diffuse area and the specular highlight area,and reduce indeterminacy within areas containing strong specular highlight reflection.Experiments on public benchmark and real-world images demonstrate that our approach outperforms state-of-the-art methods for both highlight detection and removal tasks.
文摘Pancreatic cancer is one of the leading causes of cancer-related mortality in both developed and developing coun-tries.The incidence of pancreatic cancer in China accounts for about a quater of the global incidence,and the epidemiological characteristics and therapeutic strategies differ due to social,economic,cultural,environmental,and public health factors.Non-domestic guidelines do not reflect the clinicopathologic characteristics and treat-ment patterns of Chinese patients.Thus,in 2018,the Chinese Society of Clinical Oncology(CSCO)organized a panel of senior experts from all sub-specialties within the field of pancreatic oncology to compile the Chinese guidelines for the diagnosis and treatment of pancreatic cancer.The guidelines were made based on both the Western and Eastern clinical evidence and updated every one or two years.The experts made consensus judg-ments and classified evidence-based recommendations into various grades according to the regional differences,the accessibility of diagnostic and treatment resources,and health economic indexes in China.Here we present the latest version of the guidelines,which covers the diagnosis,treatment,and follow-up of pancreatic cancer.The guidelines might standardize the diagnosis and treatment of pancreatic cancer in China and will encourage oncologists to design and conduct more clinical trials about pancreatic cancer.
基金This work was partially funded by the National Key R&D Program of China(2018YFC1901801)the National Natural Science Foundation of China(51974286,51934006).
文摘In this study,the gas-liquid reactive crystallization of LiCl-NH3·H2O-CO2 was adopted to produce Li2CO3.The weakly alkaline nature of NH3·H2O in the absence of any recarbonation process resulted in a unimodal and easily controllable particle size distribution(PSD)of the obtained Li2CO3.The reaction temperature significantly influenced both the Li2CO3 particle size and PSD.By increasing the temperature from 25 to 60℃,the volume weighted mean particle size increased from 50.5 to 100.5μm,respectively.The Li2CO3 secondary nucleation rate and growth rate were obtained by focused beam reflectance measurements and a laser particle size analyzer,respectively.The secondary nucleation rate of Li2CO3 reduced as a function of temperature,whereas the growth rate increased.In addition to improving the surface energy of the crystals to enhance the growth process,higher temperatures also reduced the supersolubility of Li2CO3,which also plays a role to decrease the secondary nucleation rate.At a constant temperature,supersaturation affects the Li2CO3 particle size through the synergistic effect of secondary nucleation and growth.Hence,with improved supersaturation,the mean particle size of Li2CO3 decreased.The results provide a meaningful way to evaluate the crystallization process and to regulate the particle size.
基金co-supported by the National Nature Science Foundation of China(No.91860135)National Natural Science Foundation of China for Creative Research Groups(No.51921003)National Science and Technology Major Project(No.2017-VII-0004-0097)。
文摘Flow field is a crucial factor to influence the stability and surface quality in the electrochemical machining(ECM)of blisks.A four-way flow mode was proposed to eliminate mixing regions of electrolyte at the leading and tailing edges.Two flow field models were described separately in this report:a W-shaped flow mode and a four-way flow mode.The flow field was analyzed through a finite element method.The results showed that,in comparison with the W-shaped flow mode,the distribution of electrolyte flow was more uniformed and the mixed region in the flow channel was improved.The pressure of the leading and tailing edges inlets was optimized,and optimal pressure of 0.6 MPa was determined.In addition,verification experiments were performed,and the results showed that the stability,efficiency,and quality of the profiles of the blisk blade manufactured by ECM were enhanced in the new flow mode.
基金partially funded by the National Key R&D Program of China(2018YFB2100602)the National Natural Science Foundation of China(61802406,61772523,61702488)+2 种基金Beijing Natural Science Foundation(L182059)the CCF–Tencent Open Research Fund,Shenzhen Basic Research Program(JCYJ20180507182222355)the Open Project Program of the State Key Lab of CAD&CG(A2004)Zhejiang University.
文摘A discriminative local shape descriptor plays an important role in various applications.In this paper,we present a novel deep learning framework that derives discriminative local descriptors for deformable 3D shapes.We use local"geometry images"to encode the multi-scale local features of a point,via an intrinsic parameterization method based on geodesic polar coordinates.This new parameterization provides robust geometry images even for badly-shaped triangular meshes.Then a triplet network with shared architecture and parameters is used to perform deep metric learning;its aim is to distinguish between similar and dissimilar pairs of points.Additionally,a newly designed triplet loss function is minimized for improved,accurate training of the triplet network.To solve the dense correspondence problem,an efficient sampling approach is utilized to achieve a good compromise between training performance and descriptor quality.During testing,given a geometry image of a point of interest,our network outputs a discriminative local descriptor for it.Extensive testing of non-rigid dense shape matching on a variety of benchmarks demonstrates the superiority of the proposed descriptors over the state-of-the-art alternatives.
基金partially funded by the National Natural Science Foundation of China (Nos. 61372168, 61571439, 61572502, and 61271431)the National High-tech R&D Program of China (863 Program) (No. 2015AA016402)
文摘Point distributions with different characteristics have a crucial influence on graphics applications. Various analysis tools have been developed in recent years, mainly for blue noise sampling in Euclidean domains. In this paper, we present a new method to analyze the properties of general sampling patterns that are distributed on mesh surfaces. The core idea is to generalize to surfaces the pair correlation function(PCF) which has successfully been employed in sampling pattern analysis and synthesis in 2D and 3D. Experimental results demonstrate that the proposed approach can reveal correlations of point sets generated by a wide range of sampling algorithms. An acceleration technique is also suggested to improve the performance of the PCF.
