In orthodontic treatment, extraction-based correction has become a common approach. Since extraction is an irreversible procedure and different extraction plans lead to varied treatment outcomes, designing an appropri...In orthodontic treatment, extraction-based correction has become a common approach. Since extraction is an irreversible procedure and different extraction plans lead to varied treatment outcomes, designing an appropriate extraction plan is crucial. However, different practitioners may propose distinct extraction plans for the same case, and even the same practitioner may design different plans for similar cases. Recently, VTO digital tooth arrangement has gradually been incorporated into orthodontic diagnostics as an auxiliary tool. This paper presents a case of adult Class I malocclusion correction using digital tooth arrangement to select an extraction plan, aiming to evaluate its effectiveness as an auxiliary method in orthodontic treatment. The findings show that, following the extraction plan determined by digital tooth arrangement, the patient achieved satisfactory occlusal and profile outcomes, indicating that digital tooth arrangement has potential reference value in orthodontic treatment.展开更多
Principal component analysis(PCA)is a widely used tool in machine learning algorithms,but it can be computationally expensive.In 2014,Lloyd,Mohseni&Rebentrost proposed a quantum PCA(qPCA)algorithm[Nat.Phys.10,631(...Principal component analysis(PCA)is a widely used tool in machine learning algorithms,but it can be computationally expensive.In 2014,Lloyd,Mohseni&Rebentrost proposed a quantum PCA(qPCA)algorithm[Nat.Phys.10,631(2014)]that has not yet been experimentally demonstrated due to challenges in preparing multiple quantum state copies and implementing quantum phase estimations.In this study,we presented a hardware-efficient approach for qPCA,utilizing an iterative approach that effectively resets the relevant qubits in a nuclear magnetic resonance(NMR)quantum processor.Additionally,we introduced a quantum scattering circuit that efficiently determines the eigenvalues and eigenvectors(principal components).As an important application of PCA,we focused on classifying thoracic CT images from COVID-19 patients and achieved high accuracy in image classification using the qPCA circuit implemented on the NMR system.Our experiment highlights the potential of near-term quantum devices to accelerate qPCA,opening up new avenues for practical applications of quantum machine learning algorithms.展开更多
Pattern-triggered immunity(PTI)and effector-triggered immunity(ETI)are required for host defense against pathogens.Although PTI and ETI are intimately connected,the underlying molecular mechanisms remain elusive.In th...Pattern-triggered immunity(PTI)and effector-triggered immunity(ETI)are required for host defense against pathogens.Although PTI and ETI are intimately connected,the underlying molecular mechanisms remain elusive.In this study,we demonstrate that flg22 priming attenuates Pseudomonas syringae pv.tomato DC3000(Pst)AvrRpt2-induced hypersensitive cell death,resistance,and biomass reduction in Arabidopsis.Mitogen-activated protein kinases(MAPKs)are key signaling regulators of PTI and ETI.The absence of MPK3 and MPK6 significantly reduces pre-PTI-mediated ETI suppression(PES).We found that MPK3/MPK6 interact with and phosphorylate the downstream transcription factor WRKY18,which regulates the expression of AP2C1 and PP2C5,two genes encoding protein phosphatases.Furthermore,we observed that the PTI-suppressed ETI-triggered cell death,MAPK activation,and growth retardation are significantly attenuated in wrky18/40/60 and ap2c1 pp2c5 mutants.Taken together,our results suggest that the MPK3/MPK6-WRKYs-PP2Cs module underlies PES and is essential for the maintenance of plant fitness during ETI.展开更多
A central challenge in nuclear physics is understanding quantum manybody systems governed by the strong nuclear force.The inherent complexity of these systems,combined with the limitations of classical computational m...A central challenge in nuclear physics is understanding quantum manybody systems governed by the strong nuclear force.The inherent complexity of these systems,combined with the limitations of classical computational methods,underscores the need for new approaches to study nuclear structure and dynamics.Here,we demonstrate that a spinbased digital quantum simulator using nuclear magnetic resonance,where nuclear spins simulate interacting fermions,offers a powerful tool to address this challenge.As a first step,we experimentally simulate the Agassi model,which encapsulates the interplay between collective and single-particle behaviors in finite nuclei.By representing nucleons as both bosons(nucleon pairs)and fermions(individual unpaired nucleons),the Agassi model captures highly non-linear interactions and is particularly suited for studying nuclear phase transitions,such as those between spherical and deformed shapes.We experimentally measure the correlation function as an order parameter during the evolution of the many-body system,successfully detecting a quantum phase transition.Specifically,we observe a sharp transition between the symmetric phase and the broken symmetry phase.This work underscores the potential of quantum simulation as a transformative tool in nuclear physics,particularly for exploring complex quantum many-body systems with applications in nuclear structure and reaction dynamics.展开更多
文摘In orthodontic treatment, extraction-based correction has become a common approach. Since extraction is an irreversible procedure and different extraction plans lead to varied treatment outcomes, designing an appropriate extraction plan is crucial. However, different practitioners may propose distinct extraction plans for the same case, and even the same practitioner may design different plans for similar cases. Recently, VTO digital tooth arrangement has gradually been incorporated into orthodontic diagnostics as an auxiliary tool. This paper presents a case of adult Class I malocclusion correction using digital tooth arrangement to select an extraction plan, aiming to evaluate its effectiveness as an auxiliary method in orthodontic treatment. The findings show that, following the extraction plan determined by digital tooth arrangement, the patient achieved satisfactory occlusal and profile outcomes, indicating that digital tooth arrangement has potential reference value in orthodontic treatment.
基金supported by the National Key Research and Development Program of China(No.2019YFA0308100)the National Natural Science Foundation of China(Nos.12075110 and 12104213)+3 种基金the Science,Technology and Innovation Commission of Shenzhen Municipality(Nos.KQTD20190929173815000 and JCYJ20200109140803865)Pengcheng Scholars,Guangdong Innovative and Entrepreneurial Research Team Program(No.2019ZT08C044)Guangdong Provincial Key Laboratory(No.2019B121203002)Guangdong Basic and Applied Basic Research Foundation(No.2020A1515110987).
文摘Principal component analysis(PCA)is a widely used tool in machine learning algorithms,but it can be computationally expensive.In 2014,Lloyd,Mohseni&Rebentrost proposed a quantum PCA(qPCA)algorithm[Nat.Phys.10,631(2014)]that has not yet been experimentally demonstrated due to challenges in preparing multiple quantum state copies and implementing quantum phase estimations.In this study,we presented a hardware-efficient approach for qPCA,utilizing an iterative approach that effectively resets the relevant qubits in a nuclear magnetic resonance(NMR)quantum processor.Additionally,we introduced a quantum scattering circuit that efficiently determines the eigenvalues and eigenvectors(principal components).As an important application of PCA,we focused on classifying thoracic CT images from COVID-19 patients and achieved high accuracy in image classification using the qPCA circuit implemented on the NMR system.Our experiment highlights the potential of near-term quantum devices to accelerate qPCA,opening up new avenues for practical applications of quantum machine learning algorithms.
基金supported by grants from the National Key Research and Development Project(2022YFE0198100)National Natural Science Foundation of China(32172420)+2 种基金Natural Science Foundation of Jiangsu Province(SBK20220085)Fundamental Research Funds for the Central Universities(KYXK202009,ZJ21195012)the Startup Fund for Distinguished Scholars from Nanjing Agricultural University(to Y.W.).
文摘Pattern-triggered immunity(PTI)and effector-triggered immunity(ETI)are required for host defense against pathogens.Although PTI and ETI are intimately connected,the underlying molecular mechanisms remain elusive.In this study,we demonstrate that flg22 priming attenuates Pseudomonas syringae pv.tomato DC3000(Pst)AvrRpt2-induced hypersensitive cell death,resistance,and biomass reduction in Arabidopsis.Mitogen-activated protein kinases(MAPKs)are key signaling regulators of PTI and ETI.The absence of MPK3 and MPK6 significantly reduces pre-PTI-mediated ETI suppression(PES).We found that MPK3/MPK6 interact with and phosphorylate the downstream transcription factor WRKY18,which regulates the expression of AP2C1 and PP2C5,two genes encoding protein phosphatases.Furthermore,we observed that the PTI-suppressed ETI-triggered cell death,MAPK activation,and growth retardation are significantly attenuated in wrky18/40/60 and ap2c1 pp2c5 mutants.Taken together,our results suggest that the MPK3/MPK6-WRKYs-PP2Cs module underlies PES and is essential for the maintenance of plant fitness during ETI.
文摘A central challenge in nuclear physics is understanding quantum manybody systems governed by the strong nuclear force.The inherent complexity of these systems,combined with the limitations of classical computational methods,underscores the need for new approaches to study nuclear structure and dynamics.Here,we demonstrate that a spinbased digital quantum simulator using nuclear magnetic resonance,where nuclear spins simulate interacting fermions,offers a powerful tool to address this challenge.As a first step,we experimentally simulate the Agassi model,which encapsulates the interplay between collective and single-particle behaviors in finite nuclei.By representing nucleons as both bosons(nucleon pairs)and fermions(individual unpaired nucleons),the Agassi model captures highly non-linear interactions and is particularly suited for studying nuclear phase transitions,such as those between spherical and deformed shapes.We experimentally measure the correlation function as an order parameter during the evolution of the many-body system,successfully detecting a quantum phase transition.Specifically,we observe a sharp transition between the symmetric phase and the broken symmetry phase.This work underscores the potential of quantum simulation as a transformative tool in nuclear physics,particularly for exploring complex quantum many-body systems with applications in nuclear structure and reaction dynamics.
