Osteoporosis is a disease of bone metabolism homeostasis imbalance with obvious bone loss,damage to bone microstructure,and increased risk of fracture.The occurrence and development of osteoporosis is related to the a...Osteoporosis is a disease of bone metabolism homeostasis imbalance with obvious bone loss,damage to bone microstructure,and increased risk of fracture.The occurrence and development of osteoporosis is related to the augmentation of active osteoclasts.Receptor activator of nuclear factor kappa B(RANK)small interfering RNA(siRNA)knockdowns the expression of RANK mRNA to inhibit the osteoclast precursors differentiate into osteoclasts as a treatment in osteoporosis.Salmon calcitonin(sCT)is a commonly used anti-osteoporotic agent that inhibits osteoclast activity and induces osteoclast apoptosis,and it also could promote the osteogenesis by osteoblasts.A cocktail therapy improves the therapeutic effect of osteoporosis between RANK siRNA and sCT.A size-switchable microsphere from micro to nano scale was developed to address the delivery barriers of biomacromolecules with poor stability and frequent administration.RANK siRNA and s CT were incorporated into the microspheres with a nanoparticle/micellemicrosphere double-layer structure to achieve sustained release when the particle size shrunk and dual protection of RANK siRNA and sCT.The size-switchable microspheres MS@(AL-NPs/ARM)had an optimal therapeutic effect and reduced the frequency of administration in glucocorticoid induced osteoporosis(GIOP)mouse model.RANK siRNA and s CT co-delivery system based on size-switchable microsphere is a promising strategy to treat osteoporosis through the controlled release of biomacromolecules.展开更多
This paper proposes a simple and efficient distributed algorithm for calculating minimal dominating set in wireless sensor network. This method can avoid maintaining the connectivities between backbone hosts. Consider...This paper proposes a simple and efficient distributed algorithm for calculating minimal dominating set in wireless sensor network. This method can avoid maintaining the connectivities between backbone hosts. Considering that the hosts in mobile networks have different characteristics, this paper proposes a method of calculating minimal dominating set with weight. The nodes can be chosen to form a minimal dominating set when the network topology changes. For the host switch on/off operation, the updating algorithm was provided. The change in the status of a hostaffects only the status of hosts in the restricted vicinity. Simulation results show that the proposed method can ensure fewer dominators but with higher weight to form the minimal dominating set and the nodes can be adaptive to the changes of network topology.展开更多
Eight different inter simple sequence repeat(ISSR) markers were used as tools to investigate genetic variability and population differentiation in the Chinese alligator,Alligator sinensis,in this study. Eleven polymor...Eight different inter simple sequence repeat(ISSR) markers were used as tools to investigate genetic variability and population differentiation in the Chinese alligator,Alligator sinensis,in this study. Eleven polymorphic bands(17.2%) out of a total of 64 were generated from 110 individuals in three populations. Analysis of molecular variation showed that most of the genetic variation(98.0%) occurred within the populations. Dendrogram relationship based on Nei’s unbiased genetic diversity illustrated that two breeding populations were genetically closely related. The Nm value of the study was 4.520,suggesting that high levels of gene flow existed and no differentiation appeared in the populations. In a reconstructed Neighbor-Joining tree,the haplotypes coming from the same populations did not gather as a class,suggesting the three populations had no apparent geographic pattern. This study shows that ISSR markers could be well applied as a feasible tool to assess genetic diversity in Chinese alligator individuals.展开更多
Under the background of“emerging engineering education,”the engineering education with national defense characteristics,has put forward higher requirements for the engineering practice training of college students.B...Under the background of“emerging engineering education,”the engineering education with national defense characteristics,has put forward higher requirements for the engineering practice training of college students.Based on this,focusing on three characteristics of virtual reality(VR)technology,this paper puts forward the construction ideas of VR technology applied in engineering practice training courses.Then,by taking Northwestern Polytechnical University’s“VR Assembly Composite Practice Training Course”for example,this paper designs the teaching process of the practice training course and analyzes the teaching effect through questionnaires.It finds that VR technology can avoid teaching risks,improve teaching quality,and have a high promotion value in the existing engineering practice training courses.Finally,three suggestions on the VR technology applied in engineering practice teaching are put forward.展开更多
The titanium round wires could be prepared to the high precision flat wires with the sizes of 0.63mm×5.03mm by nine-pass cold continuous rolling process.Mechanical property and metallograph analysis were used to ...The titanium round wires could be prepared to the high precision flat wires with the sizes of 0.63mm×5.03mm by nine-pass cold continuous rolling process.Mechanical property and metallograph analysis were used to analyze the possibilities of preparing flat wire.Results show that the grain kept equiaxed grain in the rolling processes,and a large number of dislocation and a small amount of twin existed in the microstructure of final rolling flat wire.During the whole rolling processes,when the accumulated rolling deformation degree was at low degree,the deformation of titanium was controlled under the mutual control of dislocation slip and twinning.When the accumulated rolling deformation degree was at high degree,the deformation of titanium was controlled by the dislocation slip.展开更多
Cuproptosis,a recently discovered form of regulated cell death involving copper ion metabolism,has emerged as a promising approach for tumor therapy.This pathway not only directly eliminates tumor cells but also promo...Cuproptosis,a recently discovered form of regulated cell death involving copper ion metabolism,has emerged as a promising approach for tumor therapy.This pathway not only directly eliminates tumor cells but also promotes immunogenic cell death(ICD),reshaping the tumor microenvironment(TME)and initiating robust anti-tumor immune responses.However,translating cuproptosis-based therapies into clinical applications is hindered by challenges,including complex metabolic regulation,TME heterogeneity,and the precision required for effective drug delivery.To address these limitations,nanoparticles offer transformative solutions by providing precise delivery of cuproptosis-inducing agents,controlled drug release,and enhanced therapeutic efficacy through simultaneous modulation of metabolic pathways and immune responses.This review systematically discusses recent advancements in nanoparticle-based cuproptosis delivery systems,highlighting nanoparticle design principles and their synergistic effects when integrated with other therapeutic modalities such as ICB,PTT,and CDT.Furthermore,we explore the potential of cuproptosis-based nanomedicine for personalized cancer treatment by emphasizing strategies for TME stratification and therapeutic optimization tailored to patient profiles.By integrating current insights from metabolic reprogramming,tumor immunotherapy,and nanotechnology,this review aims to facilitate the clinical translation of cuproptosis nanomedicine and significantly contribute to the advancement of precision oncology.展开更多
Nanotechnologies seek to overcome inherent deficiencies of conventional diagnosis and treatment,which attracted sustained attention and a limited number of nanomedicines approved by the FDA.However,the critical gaps i...Nanotechnologies seek to overcome inherent deficiencies of conventional diagnosis and treatment,which attracted sustained attention and a limited number of nanomedicines approved by the FDA.However,the critical gaps in clinical translation remain,and nanomedicines that were initially heralded as magic bullets have yet to reach their realistic potential.The major obstacles of fabrication technologies may be overlooked in the nanoparticles’journey.Suboptimal manufacturing strategies partly hampered the inefficient transformation.In this review,we discuss the nanoparticle manufacturing strategies of“Top-Down”and“Bottom-Up”on precise nanoscale fabrication,including artificial intelligence introduced to guided nanomedicine fabrication for accelerating the transformation.Re-engineering existing nanomedicine fabrication,individual manufacturing,and modular technology might highlight the dilemmas of nanomedicines to meet their initial expectations.展开更多
With changing climate and farmland ecological conditions,pest outbreaks in agricultural landscapes are becoming more frequent,increasing the need for improved crop production tools and methods.UAV-based agricultural s...With changing climate and farmland ecological conditions,pest outbreaks in agricultural landscapes are becoming more frequent,increasing the need for improved crop production tools and methods.UAV-based agricultural spraying is anticipated to be an important new technology for providing efficient and effective applications of crop protection products.This paper reviews and summarizes the status of the current research and progress on UAV application technologies for plant protection,and it discusses the characteristics of atomization by unmanned aircraft application systems with a focus on spray applications of agrichemicals.Additionally,the factors influencing the spraying performance including downwash airflow field and operating parameters are analyzed,and a number of key technologies for reducing drift and enhancing the application efficiency such as remote sensing,variable-rate technologies,and spray drift models are considered.Based on the reviewed literature,future developments and the impacts of these UAV technologies are projected.This review may inspire the innovation of the combined use of big data analytics and UAV technology,precision agricultural spraying technology,drift reduction technology,swarm UAV cooperative technology,and other supporting technologies for UAV-based aerial spraying for scientific research in the world.展开更多
In the traditional fertilization method,a large amount of fertilizer is applied,which causes congestion easily.It is not conducive to the sustainable development of agriculture.In this work,a vertical pneumatic fertil...In the traditional fertilization method,a large amount of fertilizer is applied,which causes congestion easily.It is not conducive to the sustainable development of agriculture.In this work,a vertical pneumatic fertilization system with a spiral Geneva mechanism was designed according to the operational requirements of variable-rate and smooth fertilization.The uniformity in discharging fertilizer with different spiral angles was simulated and analyzed by extended discrete element method(EDEM)based simulation software,from where the spiral angle of the fertilizer discharge wheel was determined to be 45°.The fertilization system includes a fertilizer apparatus with a spiral Geneva mechanism,whose optimal performance parameters were obtained from the bench experiment.The accuracy and uniformity of the fertilizer application system were taken as the evaluation indicators.The linear relationships of the discharged amount of fertilizer with the rotational speed and the opening of the fertilizer discharging wheel were verified by both static blowing fertilization and field experiments.The static blowing experimental results show that the discharged amount of fertilizer has a high linear correlation and accuracy with both the opening and rotational speed,and the highest correlation occurs with the rotational speed.The rotational speed and opening have significant effects on the discharged amount of fertilizer and the average coefficient of variation.The effect of the rotational speed was the most significant.According to the model obtained by multiple regression fittings,the optimal parameters were determined when the average coefficient of variation was small,the rotational speed was 15.9 r/min and the opening was 34.4 mm.Therefore,the purpose of precise fertilization can be achieved by adjusting the opening or rotational speed in a way to get the exact amount of fertilizer discharged as required by the corresponding crops.The field experiment showed that the variation coefficient of each fertilizer discharged decreases first and then increases with an increasing opening under different rotational speeds,which is consistent with the theoretical value.When the opening was 40 mm or 50 mm,the variation coefficient reached the minimum value,which is far less than the qualified index of 7.8%.In the static blowing experiment and the dynamic field experiment,the stability of the fertilizer discharging device can be significantly enhanced with the utilization of the pneumatic conveying fertilizer.This study can provide a theoretical reference for parameter selection and optimization of vertical spiral fertilization systems.展开更多
A T-shape tube hydraulic bulge test under axial feeding force is carried out to characterize the mechanical properties of EN AW 5049-O and 6060-O aluminium alloys.The punch displacement,T-branch height and axial compr...A T-shape tube hydraulic bulge test under axial feeding force is carried out to characterize the mechanical properties of EN AW 5049-O and 6060-O aluminium alloys.The punch displacement,T-branch height and axial compressive force are recorded online during the experiment.An intelligent inverse identification framework combining the finite element method and numerical optimization algorithm is developed to determine material parameters by fitting simulated results to the experimental data iteratively.The identified constitutive parameters using the inverse modelling technique are compared with those determined by the theoretical analysis and uniaxial tensile test.The comparison shows that the predicted bulge height and punch force based on the material parameters obtained by the three methods are different and the inverse strategy produces the smallest gap between numerical and experimental values.It is possible to conclude that the hydraulic bulge test can be applied to characterize the stress-strain curve of tubular materials at the large strain scope,and the automatic inverse framework is a more accurate post-processing procedure to identify material constitutive parameters compared with the classical analytical model.展开更多
The utilization of 3-dimensional point cloud technology for non-invasive measurement of plant phenotypic parameters can furnish important data for plant breeding,agricultural production,and diverse research applicatio...The utilization of 3-dimensional point cloud technology for non-invasive measurement of plant phenotypic parameters can furnish important data for plant breeding,agricultural production,and diverse research applications.Nevertheless,the utilization of depth sensors and other tools for capturing plant point clouds often results in missing and incomplete data due to the limitations of 2.5D imaging features and leaf occlusion.This drawback obstructed the accurate extraction of phenotypic parameters.Hence,this study presented a solution for incomplete flowering Chinese Cabbage point clouds using Point Fractal Network-based techniques.The study performed experiments on flowering Chinese Cabbage by constructing a point cloud dataset of their leaves and training the network.The findings demonstrated that our network is stable and robust,as it can effectively complete diverse leaf point cloud morphologies,missing ratios,and multi-missing scenarios.A novel framework is presented for 3D plant reconstruction using a single-view RGB-D(Red,Green,Blue and Depth)image.This method leveraged deep learning to complete localized incomplete leaf point clouds acquired by RGB-D cameras under occlusion conditions.Additionally,the extracted leaf area parameters,based on triangular mesh,were compared with the measured values.The outcomes revealed that prior to the point cloud completion,the R^(2)value of the flowering Chinese Cabbage's estimated leaf area(in comparison to the standard reference value)was 0.9162.The root mean square error(RMSE)was 15.88 cm^(2),and the average relative error was 22.11%.However,post-completion,the estimated value of leaf area witnessed a significant improvement,with an R^(2)of 0.9637,an RMSE of 6.79 cm^(2),and average relative error of 8.82%.The accuracy of estimating the phenotypic parameters has been enhanced significantly,enabling efficient retrieval of such parameters.This development offers a fresh perspective for non-destructive identification of plant phenotypes.展开更多
基金supported by the National Natural Science Foundation of China(Nos.82003687,52203138)supported by the Jilin Scientific and Technological Development Program(No.20200201415JC)+1 种基金supported by the Finance Project of Jilin ProvinceChina(Nos.2019SRCJ016,2020SCZT036)。
文摘Osteoporosis is a disease of bone metabolism homeostasis imbalance with obvious bone loss,damage to bone microstructure,and increased risk of fracture.The occurrence and development of osteoporosis is related to the augmentation of active osteoclasts.Receptor activator of nuclear factor kappa B(RANK)small interfering RNA(siRNA)knockdowns the expression of RANK mRNA to inhibit the osteoclast precursors differentiate into osteoclasts as a treatment in osteoporosis.Salmon calcitonin(sCT)is a commonly used anti-osteoporotic agent that inhibits osteoclast activity and induces osteoclast apoptosis,and it also could promote the osteogenesis by osteoblasts.A cocktail therapy improves the therapeutic effect of osteoporosis between RANK siRNA and sCT.A size-switchable microsphere from micro to nano scale was developed to address the delivery barriers of biomacromolecules with poor stability and frequent administration.RANK siRNA and s CT were incorporated into the microspheres with a nanoparticle/micellemicrosphere double-layer structure to achieve sustained release when the particle size shrunk and dual protection of RANK siRNA and sCT.The size-switchable microspheres MS@(AL-NPs/ARM)had an optimal therapeutic effect and reduced the frequency of administration in glucocorticoid induced osteoporosis(GIOP)mouse model.RANK siRNA and s CT co-delivery system based on size-switchable microsphere is a promising strategy to treat osteoporosis through the controlled release of biomacromolecules.
基金Supported by National Natural Science Foundation of China (No.60973141)Natural Science Foundation of Tianjin (No.09JCYBJC00300)
文摘This paper proposes a simple and efficient distributed algorithm for calculating minimal dominating set in wireless sensor network. This method can avoid maintaining the connectivities between backbone hosts. Considering that the hosts in mobile networks have different characteristics, this paper proposes a method of calculating minimal dominating set with weight. The nodes can be chosen to form a minimal dominating set when the network topology changes. For the host switch on/off operation, the updating algorithm was provided. The change in the status of a hostaffects only the status of hosts in the restricted vicinity. Simulation results show that the proposed method can ensure fewer dominators but with higher weight to form the minimal dominating set and the nodes can be adaptive to the changes of network topology.
基金supported by the Excellent Creative Research Team of Animal Biology in Anhui Normal Universitythe National Natural Science Foundation of China (NSFC, No. 30770312)+1 种基金the Key Laboratory of Biotic Environment and Ecological Safety of Anhui Provincethe Talent Foundation of Fuyang Teachers College
文摘Eight different inter simple sequence repeat(ISSR) markers were used as tools to investigate genetic variability and population differentiation in the Chinese alligator,Alligator sinensis,in this study. Eleven polymorphic bands(17.2%) out of a total of 64 were generated from 110 individuals in three populations. Analysis of molecular variation showed that most of the genetic variation(98.0%) occurred within the populations. Dendrogram relationship based on Nei’s unbiased genetic diversity illustrated that two breeding populations were genetically closely related. The Nm value of the study was 4.520,suggesting that high levels of gene flow existed and no differentiation appeared in the populations. In a reconstructed Neighbor-Joining tree,the haplotypes coming from the same populations did not gather as a class,suggesting the three populations had no apparent geographic pattern. This study shows that ISSR markers could be well applied as a feasible tool to assess genetic diversity in Chinese alligator individuals.
文摘Under the background of“emerging engineering education,”the engineering education with national defense characteristics,has put forward higher requirements for the engineering practice training of college students.Based on this,focusing on three characteristics of virtual reality(VR)technology,this paper puts forward the construction ideas of VR technology applied in engineering practice training courses.Then,by taking Northwestern Polytechnical University’s“VR Assembly Composite Practice Training Course”for example,this paper designs the teaching process of the practice training course and analyzes the teaching effect through questionnaires.It finds that VR technology can avoid teaching risks,improve teaching quality,and have a high promotion value in the existing engineering practice training courses.Finally,three suggestions on the VR technology applied in engineering practice teaching are put forward.
文摘The titanium round wires could be prepared to the high precision flat wires with the sizes of 0.63mm×5.03mm by nine-pass cold continuous rolling process.Mechanical property and metallograph analysis were used to analyze the possibilities of preparing flat wire.Results show that the grain kept equiaxed grain in the rolling processes,and a large number of dislocation and a small amount of twin existed in the microstructure of final rolling flat wire.During the whole rolling processes,when the accumulated rolling deformation degree was at low degree,the deformation of titanium was controlled under the mutual control of dislocation slip and twinning.When the accumulated rolling deformation degree was at high degree,the deformation of titanium was controlled by the dislocation slip.
基金supported by the National Natural Science Foundation of China(Grant Nos.82374050 and 82074030)the Faculty Development Research Project of Tianjin University of Traditional Chinese Medicine(Project No.Y-202506,China)the Open Projects Fund of the Shandong Key Laboratory of Carbohydrate Chemistry and Glycobiology,Shandong University(Grant No.2023CCG13,China).
文摘Cuproptosis,a recently discovered form of regulated cell death involving copper ion metabolism,has emerged as a promising approach for tumor therapy.This pathway not only directly eliminates tumor cells but also promotes immunogenic cell death(ICD),reshaping the tumor microenvironment(TME)and initiating robust anti-tumor immune responses.However,translating cuproptosis-based therapies into clinical applications is hindered by challenges,including complex metabolic regulation,TME heterogeneity,and the precision required for effective drug delivery.To address these limitations,nanoparticles offer transformative solutions by providing precise delivery of cuproptosis-inducing agents,controlled drug release,and enhanced therapeutic efficacy through simultaneous modulation of metabolic pathways and immune responses.This review systematically discusses recent advancements in nanoparticle-based cuproptosis delivery systems,highlighting nanoparticle design principles and their synergistic effects when integrated with other therapeutic modalities such as ICB,PTT,and CDT.Furthermore,we explore the potential of cuproptosis-based nanomedicine for personalized cancer treatment by emphasizing strategies for TME stratification and therapeutic optimization tailored to patient profiles.By integrating current insights from metabolic reprogramming,tumor immunotherapy,and nanotechnology,this review aims to facilitate the clinical translation of cuproptosis nanomedicine and significantly contribute to the advancement of precision oncology.
基金supported by the National Natural Science Foundation of China(No.82003687).
文摘Nanotechnologies seek to overcome inherent deficiencies of conventional diagnosis and treatment,which attracted sustained attention and a limited number of nanomedicines approved by the FDA.However,the critical gaps in clinical translation remain,and nanomedicines that were initially heralded as magic bullets have yet to reach their realistic potential.The major obstacles of fabrication technologies may be overlooked in the nanoparticles’journey.Suboptimal manufacturing strategies partly hampered the inefficient transformation.In this review,we discuss the nanoparticle manufacturing strategies of“Top-Down”and“Bottom-Up”on precise nanoscale fabrication,including artificial intelligence introduced to guided nanomedicine fabrication for accelerating the transformation.Re-engineering existing nanomedicine fabrication,individual manufacturing,and modular technology might highlight the dilemmas of nanomedicines to meet their initial expectations.
基金The authors gratefully acknowledge the support provided by the National Key Research and Development Program of China(Grant No.2016YFD0200606,Grant No.2018YFD0200700)China Agriculture Research System(Grant No.CARS-15-22).
文摘With changing climate and farmland ecological conditions,pest outbreaks in agricultural landscapes are becoming more frequent,increasing the need for improved crop production tools and methods.UAV-based agricultural spraying is anticipated to be an important new technology for providing efficient and effective applications of crop protection products.This paper reviews and summarizes the status of the current research and progress on UAV application technologies for plant protection,and it discusses the characteristics of atomization by unmanned aircraft application systems with a focus on spray applications of agrichemicals.Additionally,the factors influencing the spraying performance including downwash airflow field and operating parameters are analyzed,and a number of key technologies for reducing drift and enhancing the application efficiency such as remote sensing,variable-rate technologies,and spray drift models are considered.Based on the reviewed literature,future developments and the impacts of these UAV technologies are projected.This review may inspire the innovation of the combined use of big data analytics and UAV technology,precision agricultural spraying technology,drift reduction technology,swarm UAV cooperative technology,and other supporting technologies for UAV-based aerial spraying for scientific research in the world.
基金The authors gratefully acknowledge the support was provided by the National Key Research and Development Program of China(Grant No.2017YFD0700700,2017YFD0700704,2016YFD0200600,2016YFD0200606,2018YFD0200700).
文摘In the traditional fertilization method,a large amount of fertilizer is applied,which causes congestion easily.It is not conducive to the sustainable development of agriculture.In this work,a vertical pneumatic fertilization system with a spiral Geneva mechanism was designed according to the operational requirements of variable-rate and smooth fertilization.The uniformity in discharging fertilizer with different spiral angles was simulated and analyzed by extended discrete element method(EDEM)based simulation software,from where the spiral angle of the fertilizer discharge wheel was determined to be 45°.The fertilization system includes a fertilizer apparatus with a spiral Geneva mechanism,whose optimal performance parameters were obtained from the bench experiment.The accuracy and uniformity of the fertilizer application system were taken as the evaluation indicators.The linear relationships of the discharged amount of fertilizer with the rotational speed and the opening of the fertilizer discharging wheel were verified by both static blowing fertilization and field experiments.The static blowing experimental results show that the discharged amount of fertilizer has a high linear correlation and accuracy with both the opening and rotational speed,and the highest correlation occurs with the rotational speed.The rotational speed and opening have significant effects on the discharged amount of fertilizer and the average coefficient of variation.The effect of the rotational speed was the most significant.According to the model obtained by multiple regression fittings,the optimal parameters were determined when the average coefficient of variation was small,the rotational speed was 15.9 r/min and the opening was 34.4 mm.Therefore,the purpose of precise fertilization can be achieved by adjusting the opening or rotational speed in a way to get the exact amount of fertilizer discharged as required by the corresponding crops.The field experiment showed that the variation coefficient of each fertilizer discharged decreases first and then increases with an increasing opening under different rotational speeds,which is consistent with the theoretical value.When the opening was 40 mm or 50 mm,the variation coefficient reached the minimum value,which is far less than the qualified index of 7.8%.In the static blowing experiment and the dynamic field experiment,the stability of the fertilizer discharging device can be significantly enhanced with the utilization of the pneumatic conveying fertilizer.This study can provide a theoretical reference for parameter selection and optimization of vertical spiral fertilization systems.
基金The first author was supported by China Scholarship Council(CSC)(201706080020)from the Ministry of Education of China and expresses his appreciation to CSC for their financial support。
文摘A T-shape tube hydraulic bulge test under axial feeding force is carried out to characterize the mechanical properties of EN AW 5049-O and 6060-O aluminium alloys.The punch displacement,T-branch height and axial compressive force are recorded online during the experiment.An intelligent inverse identification framework combining the finite element method and numerical optimization algorithm is developed to determine material parameters by fitting simulated results to the experimental data iteratively.The identified constitutive parameters using the inverse modelling technique are compared with those determined by the theoretical analysis and uniaxial tensile test.The comparison shows that the predicted bulge height and punch force based on the material parameters obtained by the three methods are different and the inverse strategy produces the smallest gap between numerical and experimental values.It is possible to conclude that the hydraulic bulge test can be applied to characterize the stress-strain curve of tubular materials at the large strain scope,and the automatic inverse framework is a more accurate post-processing procedure to identify material constitutive parameters compared with the classical analytical model.
基金funded by the leading talents program of Guangdong Province(2016LJ06G689)the Laboratory of Lingnan Modern Agriculture Project(NT2021009)+3 种基金the 111 Project(D18019)the Key-Area Research and Development Program of Guangdong Province(2019B020214003)the Guangdong Basic and Applied Basic Research Foundation(Grant No.2021A1515110554)the China Postdoctoral Science Foundation(Grant No.2022M721201).
文摘The utilization of 3-dimensional point cloud technology for non-invasive measurement of plant phenotypic parameters can furnish important data for plant breeding,agricultural production,and diverse research applications.Nevertheless,the utilization of depth sensors and other tools for capturing plant point clouds often results in missing and incomplete data due to the limitations of 2.5D imaging features and leaf occlusion.This drawback obstructed the accurate extraction of phenotypic parameters.Hence,this study presented a solution for incomplete flowering Chinese Cabbage point clouds using Point Fractal Network-based techniques.The study performed experiments on flowering Chinese Cabbage by constructing a point cloud dataset of their leaves and training the network.The findings demonstrated that our network is stable and robust,as it can effectively complete diverse leaf point cloud morphologies,missing ratios,and multi-missing scenarios.A novel framework is presented for 3D plant reconstruction using a single-view RGB-D(Red,Green,Blue and Depth)image.This method leveraged deep learning to complete localized incomplete leaf point clouds acquired by RGB-D cameras under occlusion conditions.Additionally,the extracted leaf area parameters,based on triangular mesh,were compared with the measured values.The outcomes revealed that prior to the point cloud completion,the R^(2)value of the flowering Chinese Cabbage's estimated leaf area(in comparison to the standard reference value)was 0.9162.The root mean square error(RMSE)was 15.88 cm^(2),and the average relative error was 22.11%.However,post-completion,the estimated value of leaf area witnessed a significant improvement,with an R^(2)of 0.9637,an RMSE of 6.79 cm^(2),and average relative error of 8.82%.The accuracy of estimating the phenotypic parameters has been enhanced significantly,enabling efficient retrieval of such parameters.This development offers a fresh perspective for non-destructive identification of plant phenotypes.
