Heterointerface engineering based on built-in electric field(BIEF)has been well-received in electromagnetic wave(EMW)absorption.However,the influence of interface size and number of interfaces on the BIEF and interfac...Heterointerface engineering based on built-in electric field(BIEF)has been well-received in electromagnetic wave(EMW)absorption.However,the influence of interface size and number of interfaces on the BIEF and interface polarization loss mechanism remains unclear.Here,we designed a ternary dual het-erointerfaces Co@C/SiO_(2)nanocomposite.Experimental and theoretical analyses show that Co@C/SiO_(2)has abundant Mott-Schottky heterointerfaces,and a reasonable increase in the heterointerface area leads to a strong BIEF effect,where the charge accumulates at the interface and subsequently migrates along the direction of the alternating electromagnetic field to promote the dissipation of EMW by polarization loss.However,an excessive number of interfaces leads to many carriers being bound by the interfaces,which is not conducive to forming electron channels.By coordinating the heterointerface states to achieve optimal EMW absorption performance,SZ-3 can accomplish an effective absorption width(EAB)of 5.93 GHz at a thickness of 1.91 mm.This work provides new ideas and methods for BIEF-based heterointerface engineering applied to EMW absorption materials.展开更多
Photothermal catalytic methane dry reforming(DRM)technology can convert greenhouse gases(i.e.CH_(4)and CO_(2))into syngas(i.e.H_(2)and CO),providing more opportunities for reducing the greenhouse effect and achieving ...Photothermal catalytic methane dry reforming(DRM)technology can convert greenhouse gases(i.e.CH_(4)and CO_(2))into syngas(i.e.H_(2)and CO),providing more opportunities for reducing the greenhouse effect and achieving carbon neutrality.In the DRM field,Ni-based catalysts attract wide attention due to their low cost and high activity.However,the carbon deposition over Ni-based catalysts always leads to rapid deactivation,which is still a main challenge.To improve the long-term stability of Ni-based catalysts,this work proposes a carbon-atom-diffusion strategy under photothermal conditions and investigates its effect on a Zn-doped Ni-based photothermal catalyst(Ni_(3)Zn@CeO_(2)).The photothermal catalytic behavior of Ni_(3)Zn@CeO_(2)can maintain more than 70 h in DRM reaction.And the photocatalytic DRM activity of Ni_(3)Zn@CeO_(2)is 1.2 times higher than thermal catalytic activity.Density functional theory(DFT)calculation and experimental characterizations indicate that Ni_(3)Zn promotes the diffusion of carbon atoms into the Ni_(3)Zn to form the Ni_(3)ZnC0.7 phase with body-centered cubic(bcc)structure,thus inhibiting carbon deposition.Further,in-situ diffuse reflectance infrared Fourier transform(DRIFT)spectroscopy and DFT calculation prove Ni_(3)Zn@CeO_(2)benefits the CH_(4)activation and inhibits the carbon deposition during the DRM process.Through inducing carbon atoms diffusion within the Ni_(3)Zn lattice,this work provides a straightforward and feasible strategy for achieving efficient photothermal catalytic DRM and even other CH_(4)conversion implementations with long-term stability.展开更多
Direct propane dehydrogenation(DPDH)represents a highly attractive route for on-purpose propylene production,a key building block in the petrochemical industry.In particular,among various catalytic platforms,vanadium-...Direct propane dehydrogenation(DPDH)represents a highly attractive route for on-purpose propylene production,a key building block in the petrochemical industry.In particular,among various catalytic platforms,vanadium-based catalysts have emerged as promising candidates due to their tunable properties including redox ability,surface acidity,and resistance to coking.Although the catalytic community has obtained great achievement in this area,how to promote vanadium-based catalysts towards the next step in DPDH applications like industrial-level implementations is still challenging.Moreover,there are still several controversial theories in our community,meaning it is necessary to clarify these indistinct points to pave the way for the next generation of research.Herein,the pivotal modification strategies of vanadium-based catalysts have been summarized via introducing representative works.In addition,the current unclear mechanism and research gaps,especially in the issues of deactivation and selectivity control,are also revealed so that the potential research directions are well-founded proposed.By integrating fundamental understanding and practical considerations,this review aims to inspire the further development of vanadium-based DPDH catalysts for in-depth academic research and next-generation industrial deployment.展开更多
In this paper,the front axle of a certain model is taken as the research object,and the stress and deformation of the frontaxle under three typical working conditions are analyzed by finite element technology.Based on...In this paper,the front axle of a certain model is taken as the research object,and the stress and deformation of the frontaxle under three typical working conditions are analyzed by finite element technology.Based on the simulation results,the 3D model of the front axle was optimized,and the finite element analysis of the optimized structure of the front axle under three typical working conditions was carried out to verify the correctness of the model.Finally,the fatigue tool module of ANSYS Workbench was used to analyze the fatigue life of the front axle under the optimized emergency conditions,and the feasibility of the model was verified.The analysis data shows that the design of the front axle components still has a lot of potential for lightweighting,and the weight of the front axle can be reduced by 6.73%through optimization,and the performance of the front axle can also meet the needs of use.The research conclusionhas a certain reference value for the lightweight design of automobile front axle.展开更多
Porous ultra-high temperature ceramics(UHTCs)are promising for ultrahigh-temperature thermal insulation applications.However,the main limitations for their applications are the high thermal conductivity and densificat...Porous ultra-high temperature ceramics(UHTCs)are promising for ultrahigh-temperature thermal insulation applications.However,the main limitations for their applications are the high thermal conductivity and densification of porous structure at high temperatures.In order to overcome these obstacles,herein,porous high entropy(Zr(0.2)Hf(0.2)Ti(0.2)Nb(0.2)Ta(0.2))C was prepared by a simple method combing in-situ reaction and partial sintering.Porous high entropy(Zr(0.2)Hf(0.2)Ti(0.2)Nb(0.2)Ta(0.2))C possesses homogeneous microstructure with grain size in the range of 100–500 nm and pore size in the range of 0.2–1μm,which exhibits high porosity of 80.99%,high compressive strength of 3.45 MPa,low room temperature thermal conductivity of 0.39 W·m^-1K^-1,low thermal diffusivity of 0.74 mm^2·s^-1and good high temperature stability.The combination of these properties renders porous high entropy(Zr(0.2)Hf(0.2)Ti(0.2)Nb(0.2)Ta(0.2))Cpromising as light-weight ultrahigh temperature thermal insulation materials.展开更多
The thermal and environmental barrier coatings (T/EBC) are technologically important for advanced propulsion engine system. In this study, RE4Hf3Oi2 (RE=Ho, Er, Tm) with defect fluorite structure was investigated for ...The thermal and environmental barrier coatings (T/EBC) are technologically important for advanced propulsion engine system. In this study, RE4Hf3Oi2 (RE=Ho, Er, Tm) with defect fluorite structure was investigated for potential use as top TBC layer. Dense pellets were fabricated via a hot pressing method and the mechanical and thermal properties were characterized. RE4Hf3Oi2 (RE=Ho, Er, Tm) possessed a high Vickers hardness of 11 GFa. The material retained high elastic modulus at elevated temperatures up to 1773 K, which made it attractive for high temperature application. The coefficient of thermal expansion (CTE) of RE4Hf3Oi2 (RE = Ho, Er, Tm) laid in the range between 7× 10^-6K^-1 to 10×10^16K^-1 from 473 K to 1673 K. In addition, the rare earth hafnates exhibited lower thermal conductivity which rendered it a good candidate material for thermal barrier applications.展开更多
Our recent studies demonstrate that the focal adhesion protein Kindlin-2 is critical for chondrogenesis and early skeletal development. Here, we show that deleting Kindlin-2 from osteoblasts using the 2.3-kb mouse Col...Our recent studies demonstrate that the focal adhesion protein Kindlin-2 is critical for chondrogenesis and early skeletal development. Here, we show that deleting Kindlin-2 from osteoblasts using the 2.3-kb mouse Col1 a1-Cre transgene minimally impacts bone mass in mice, but deleting Kindlin-2 using the 10-kb mouse Dmp1-Cre transgene, which targets osteocytes and mature osteoblasts, results in striking osteopenia in mice. Kindlin-2 loss reduces the osteoblastic population but increases the osteoclastic and adipocytic populations in the bone microenvironment. Kindlin-2 loss upregulates sclerostin in osteocytes,downregulates β-catenin in osteoblasts, and inhibits osteoblast formation and differentiation in vitro and in vivo. Upregulation ofβ-catenin in the mutant cells reverses the osteopenia induced by Kindlin-2 deficiency. Kindlin-2 loss additionally increases the expression of RANKL in osteocytes and increases osteoclast formation and bone resorption. Kindlin-2 deletion in osteocytes promotes osteoclast formation in osteocyte/bone marrow monocyte cocultures, which is significantly blocked by an anti-RANKLneutralizing antibody. Finally, Kindlin-2 loss increases osteocyte apoptosis and impairs osteocyte spreading and dendrite formation.Thus, we demonstrate an important role of Kindlin-2 in the regulation of bone homeostasis and provide a potential target for the treatment of metabolic bone diseases.展开更多
The shear mechanical behavior is regarded as an essential factor affecting the stability of the surrounding rocks in underground engineering.The shear strength and failure mechanisms of layered rock are significantly ...The shear mechanical behavior is regarded as an essential factor affecting the stability of the surrounding rocks in underground engineering.The shear strength and failure mechanisms of layered rock are significantly affected by the foliation angles.Direct shear tests were conducted on cubic slate samples with foliation angles of 0°,30°,45°,60°,and 90°.The effect of foliation angles on failure patterns,acoustic emission(AE)characteristics,and shear strength parameters was analyzed.Based on AE characteristics,the slate failure process could be divided into four stages:quiet period,step-like increasing period,dramatic increasing period,and remission period.A new empirical expression of cohesion for layered rock was proposed,which was compared with linear and sinusoidal cohesion expressions based on the results made by this paper and previous experiments.The comparative analysis demonstrated that the new expression has better prediction ability than other expressions.The proposed empirical equation was used for direct shear simulations with the combined finite-discrete element method(FDEM),and it was found to align well with the experimental results.Considering both computational efficiency and accuracy,it was recommended to use a shear rate of 0.01 m/s for FDEM to carry out direct shear simulations.To balance the relationship between the number of elements and the simulation results in the direct shear simulations,the recommended element size is 1 mm.展开更多
The LIM domain-containing proteins Pinch1/2 regulate integrin activation and cell–extracellular matrix interaction and adhesion.Here,we report that deleting Pinch1 in limb mesenchymal stem cells(MSCs)and Pinch2 globa...The LIM domain-containing proteins Pinch1/2 regulate integrin activation and cell–extracellular matrix interaction and adhesion.Here,we report that deleting Pinch1 in limb mesenchymal stem cells(MSCs)and Pinch2 globally(double knockout;dKO)in mice causes severe chondrodysplasia,while single mutant mice do not display marked defects.Pinch deletion decreases chondrocyte proliferation,accelerates cell differentiation and disrupts column formation.Pinch loss drastically reduces Smad2/3 protein expression in proliferative zone(PZ)chondrocytes and increases Runx2 and Col10a1 expression in both PZ and hypertrophic zone(HZ)chondrocytes.Pinch loss increases sclerostin and Rankl expression in HZ chondrocytes,reduces bone formation,and increases bone resorption,leading to low bone mass.In vitro studies revealed that Pinch1 and Smad2/3 colocalize in the nuclei of chondrocytes.Through its C-terminal region,Pinch1 interacts with Smad2/3 proteins.Pinch loss increases Smad2/3 ubiquitination and degradation in primary bone marrow stromal cells(BMSCs).Pinch loss reduces TGF-β-induced Smad2/3 phosphorylation and nuclear localization in primary BMSCs.Interestingly,compared to those from single mutant mice,BMSCs from dKO mice express dramatically lower protein levels ofβ-catenin and Yap1/Taz and display reduced osteogenic but increased adipogenic differentiation capacity.Finally,ablating Pinch1 in chondrocytes and Pinch2 globally causes severe osteopenia with subtle limb shortening.Collectively,our findings demonstrate critical roles for Pinch1/2 and a functional redundancy of both factors in the control of chondrogenesis and bone mass through distinct mechanisms.展开更多
The performance of medical image classification has been enhanced by deep convolutional neural networks(CNNs),which are typically trained with cross-entropy(CE)loss.However,when the label presents an intrinsic ordinal...The performance of medical image classification has been enhanced by deep convolutional neural networks(CNNs),which are typically trained with cross-entropy(CE)loss.However,when the label presents an intrinsic ordinal property in nature,e.g.,the development from benign to malignant tumor,CE loss cannot take into account such ordinal information to allow for better generalization.To improve model generalization with ordinal information,we propose a novel meta ordinal regression forest(MORF)method for medical image classification with ordinal labels,which learns the ordinal relationship through the combination of convolutional neural network and differential forest in a meta-learning framework.The merits of the proposed MORF come from the following two components:A tree-wise weighting net(TWW-Net)and a grouped feature selection(GFS)module.First,the TWW-Net assigns each tree in the forest with a specific weight that is mapped from the classification loss of the corresponding tree.Hence,all the trees possess varying weights,which is helpful for alleviating the tree-wise prediction variance.Second,the GFS module enables a dynamic forest rather than a fixed one that was previously used,allowing for random feature perturbation.During training,we alternatively optimize the parameters of the CNN backbone and TWW-Net in the meta-learning framework through calculating the Hessian matrix.Experimental results on two medical image classification datasets with ordinal labels,i.e.,LIDC-IDRI and Breast Ultrasound datasets,demonstrate the superior performances of our MORF method over existing state-of-the-art methods.展开更多
The problem of decomposing a complete 3-uniform hypergraph into Hamilton cycles was introduced by Bailey and Stevens using a generalization of Hamiltonian chain to uniform hypergraphs by Katona and Kierstead. Decompos...The problem of decomposing a complete 3-uniform hypergraph into Hamilton cycles was introduced by Bailey and Stevens using a generalization of Hamiltonian chain to uniform hypergraphs by Katona and Kierstead. Decomposing the complete 3-uniform hypergraphs Kn（3） into k-cycles （3 ≤ k 〈 n） was then considered by Meszka and Rosa. This study investigates this problem using a difference pattern of combinatorics and shows that Kn·5m（3） can be decomposed into 5-cycles for n ∈ {5, 7, 10, 11, 16, 17, 20, 22, 26} using computer programming.展开更多
The potential of the second wave of Artificial Intelligence (AI) to change our lives beyond recognition is both exciting and challenging. AI has been around for over three decades, and this new approach of artificial ...The potential of the second wave of Artificial Intelligence (AI) to change our lives beyond recognition is both exciting and challenging. AI has been around for over three decades, and this new approach of artificial intelligence, due to enhancements in technology, both software, and hardware, has resulted in the fact that human decision-making is considered inferior and erratic in many fields: none more so than medicine. Machine learning algorithms with access to large data sets can be trained to outperform clinicians in many respects. AI’s effectiveness in accurate diagnosis of various medical conditions and medical image interpretation is well documented. Modern AI technology has the potential to transform medicine to a level never seen before in terms of efficiency and accuracy;but is also potentially highly disruptive, creating insecurity and allowing the transfer of expert domain knowledge to machines. Anesthetics is a complex medical discipline and assuming AI can easily replace experienced and knowledgeable medical practitioners is a very unrealistic expectation. AI can be used in anesthetics to develop, in some respects, more advanced clinical decision support tools based on machine learning. This paper focuses on the complexity of both AI developments, deep learning, neural networks, etc. and opportunities of AI in anesthetics for the future. It will review current advances in AI tools and hardware technologies as well as outlining how these can be used in the field of anesthetics.展开更多
The state of charge(SOC)estimation of lithium-ion battery is an important function in the battery management system(BMS)of electric vehicles.The long short term memory(LSTM)model can be employed for SOC estimation,whi...The state of charge(SOC)estimation of lithium-ion battery is an important function in the battery management system(BMS)of electric vehicles.The long short term memory(LSTM)model can be employed for SOC estimation,which is capable of estimating the future changing states of a nonlinear system.Since the BMS usually works under complicated operating conditions,i.e the real measurement data used for model training may be corrupted by non-Gaussian noise,and thus the performance of the original LSTM with the mean square error(MSE)loss may deteriorate.Therefore,a novel LSTM with mixture kernel mean p-power error(MKMPE)loss,called MKMPE-LSTM,is developed by using the MKMPE loss to replace the MSE as the learning criterion in LSTM framework,which can achieve robust SOC estimation under the measurement data contaminated with non-Gaussian noises(or outliers)because of the MKMPE containing the p-order moments of the error distribution.In addition,a meta-heuristic algorithm,called heap-based-optimizer(HBO),is employed to optimize the hyper-parameters(mainly including learning rate,number of hidden layer neuron and value of p in MKMPE)of the proposed MKMPE-LSTM model to further improve its flexibility and generalization performance,and a novel hybrid model(HBO-MKMPE-LSTM)is established for SOC estimation under non-Gaussian noise cases.Finally,several tests are performed under various cases through a benchmark to evaluate the performance of the proposed HBO-MKMPE-LSTM model,and the results demonstrate that the proposed hybrid method can provide a good robustness and accuracy under different non-Gaussian measurement noises,and the SOC estimation results in terms of mean square error(MSE),root MSE(RMSE),mean absolute relative error(MARE),and determination coefficient R2are less than 0.05%,3%,3%,and above 99.8%at 25℃,respectively.展开更多
High throughput experimentation is employed to establish a ternary system with the compositional range of 30.8 mol.%-75.7 mol.%SiO_(2),16.6 mol.%-61.7 mol.%Yb_(2)O_(3),and 6.3 mol.%-4.1 moll.%Ho_(2)O_(3) through co-sp...High throughput experimentation is employed to establish a ternary system with the compositional range of 30.8 mol.%-75.7 mol.%SiO_(2),16.6 mol.%-61.7 mol.%Yb_(2)O_(3),and 6.3 mol.%-4.1 moll.%Ho_(2)O_(3) through co-sputtering deposition on one combinatorial material chip.Considering their application in advanced SiC_(f)/SiC CMC,the phase composition and mechanical properties of samples with various RE/Si ratios and Yb/Ho ratios are comprehensively investigated.Chemical stability and thermal expansion compatibility between SiC and RE silicates with different compositions are also validated.Optimized materials for the application of environmental barrier coating and interphase for SiC_(f)/SiC CMC are screened respectively according to the above trends and data.This work is a case study to establish a composition-property library for RE_(2)O_(3)-SiO_(2) compounds.It is inspired more complicated multicomponent RE silicates could be prepared and characterized by high throughput experimentation,accelerating the design and screening of promising optimal candidates.展开更多
Co-frequency and co-time full duplex(CCFD) is an attractive technology for the future wireless communication because of its high spectral efficiency.However,applications of CCFD to mobile network can suffer from stron...Co-frequency and co-time full duplex(CCFD) is an attractive technology for the future wireless communication because of its high spectral efficiency.However,applications of CCFD to mobile network can suffer from strong base station to base station(B2B)interference.In this paper,the authors proposed a design that uses centralized base station(BS)transmit antenna and distributed BS receive antennas,each of which consists of an antennary to perform beamforming that can nullify the B2 B interference.In addition,we proposed a combination algorithm that uses the zero forcing method to cascade the recursive least square(RLS) method for reducing the necessary number of the bits taken to the digital processor.This enables the faster convergence and,thus,allows the transmission of more information bits,compared to the conventional method,for mobile communication.The simulation results confirm this approach for practical application.展开更多
The properties of high entropy pyrochlore have been studied extensively,but there is no consistent conclusion on its radiation tolerance.Besides,the mechanism of the high entropy effect on the radiation tolerance of p...The properties of high entropy pyrochlore have been studied extensively,but there is no consistent conclusion on its radiation tolerance.Besides,the mechanism of the high entropy effect on the radiation tolerance of pyrochlore is still unclear.In this work,combined with experiments and calculations of pyrochlores with similar cationic radius ratios,the A-site and B-site high entropy effects on structural evolution under irradiation are analyzed.In situ irradiation experiments were carried out on A-site high entropy pyrochlores such as(La_(0.2)Nd_(0.2)Sm_(0.2)Gd_(0.2)Er_(0.2))_(2)Zr_(2)O_(7),B-site Gd_(2)(Ti_(1/3)Sn_(1/3)Zr_(1/3))_(2)O_(7),and ternary pyrochlore Sm_(2)Zr_(2)O_(7) and Gd_(2)Sn_(2)O_(7) for comparison.The A-site high entropy pyrochlore can maintain a stable structure under high fluence irradiation like corresponding ternary pyrochlore,demonstrated by high angle annular dark field scanning transmission electron microscopy(HAADF-STEM),energy dispersive spectroscopy(EDS)mapping and Raman spectrum.The additional irradiation experiments on A-site high entropy pyrochlores(La_(1/3)Nd_(1/3)Gd_(1/3))_(2)Zr_(2)O_(7) and(Nd_(1/3)Sm_(1/3)Gd_(1/3))_(2)Zr_(2)O_(7) also confirm the similarity under irradiation between A-site high entropy and ternary pyrochlores.However,the B-site high entropy pyrochlore Gd_(2)(Ti_(1/3)Sn_(1/3)Zr_(1/3))_(2)O_(7) becomes amorphous at exceptionally low irradiation fluences,indicating a significantly distinct radiation tolerance compared with the A-site high entropy.The difference between the A-site and B-site high entropy effect is analyzed from cationic lattice distortion,bond strength,and inner electron binding energy by first-principles calculations.The results reveal the role and mechanism of the high entropy effect in pyrochlores and lay a foundation for material design and future applications.展开更多
Voltage Source Converter-based High Voltage Direct Current(VSC-HVDC)transmission technology represents a groundbreaking approach in high voltage Direct Current(DC)transmission,offering numerous technical advantages an...Voltage Source Converter-based High Voltage Direct Current(VSC-HVDC)transmission technology represents a groundbreaking approach in high voltage Direct Current(DC)transmission,offering numerous technical advantages and broad application prospects.However,in the d-q synchronous rotating coordinate system,the VSC-HVDC exhibits the coupling effect of active power and reactive power,so it needs to be decoupled.This paper introduces the basic principle and mathematical model of the VSC-HVDC transmission system.Through the combination of coordinate transformation and variable substitution,a feedforward decoupling control method is derived.Then the VSC-HVDC simulation model is designed,and the simulation analysis is carried out in the MATLAB environment.The simulation results demonstrate that the method effectively achieves decoupling control of active and reactive power,exhibiting superior dynamic performance and robustness.These findings validate the correctness and effectiveness of the control strategy.展开更多
The stable operation of friction pairs is one of the most critical factors to maintain the stable operation of mechanical equipment.The real-time monitoring of lubrication state of the friction pair is very important ...The stable operation of friction pairs is one of the most critical factors to maintain the stable operation of mechanical equipment.The real-time monitoring of lubrication state of the friction pair is very important to ensure the normal operation of machinery and realize early warning of wear failure,but it is also a big challenge.In this article,a new lubrication insitu monitoring system is designed,which can monitor the lubrication and wear state of friction pairs through triboelectrification.The current acquisition module and friction coefficient acquisition module are integrated into a high vacuum hydrodynamic oil film thickness measuring instrument to explore the intrinsic relationship between triboelectricity and friction coefficient curves.When severe wear occurs,the oil film at the interface of the friction pair is no longer complete,and the accumulated triboelectric charge at the interface of the friction pair breaks down the air and causes discharge,the friction current suddenly increases from nanoampere level to microampere level.The time node when discharge occurs at the steel ball interface is well consistent with the time node when the friction pair suffers serious wear.According to the corresponding relationship between the triboelectric current and the friction and wear status of the friction pair,an early wear warning monitoring system is designed to monitor the operating status of the friction pair in real time through triboelectric signals.When the mechanical friction pair is worn,the early warning system will send out sound and light alarm signals and send real-time warnings to the mobile terminal through the Internet of Things,providing a new and reliable method for real-time monitoring of friction and wear of grease-lubricated machinery.展开更多
Prompt learning has attracted broad attention in computer vision since the large pre-trained visionlanguagemodels (VLMs) exploded. Based on the close relationship between vision and language information builtby VLM, p...Prompt learning has attracted broad attention in computer vision since the large pre-trained visionlanguagemodels (VLMs) exploded. Based on the close relationship between vision and language information builtby VLM, prompt learning becomes a crucial technique in many important applications such as artificial intelligencegenerated content (AIGC). In this survey, we provide a progressive and comprehensive review of visual promptlearning as related to AIGC. We begin by introducing VLM, the foundation of visual prompt learning. Then, wereview the vision prompt learning methods and prompt-guided generative models, and discuss how to improve theefficiency of adapting AIGC models to specific downstream tasks. Finally, we provide some promising researchdirections concerning prompt learning.展开更多
基金supported by the National Natural Science Foundation of China(Nos.52172091,52172295)Defense Industrial Technology Development Program(No.JCKY2023605C002)+4 种基金Frontier Leading Technology Basic Research Major Project of Jiangsu Province(No.BK20232013)the National Key Laboratory on Electromagnetic Environmental Effects and Electro-optical Engineering(No.61422062301)the Opening Project of Jiangsu Key Laboratory of Advanced Structural Materials and Application Technology(No.ASMA202303)the Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX23_0371)the Opening Project of Science and Technology on Reliability Physics and Application Technology of Electronic Component Laboratory(No.ZHD202305).
文摘Heterointerface engineering based on built-in electric field(BIEF)has been well-received in electromagnetic wave(EMW)absorption.However,the influence of interface size and number of interfaces on the BIEF and interface polarization loss mechanism remains unclear.Here,we designed a ternary dual het-erointerfaces Co@C/SiO_(2)nanocomposite.Experimental and theoretical analyses show that Co@C/SiO_(2)has abundant Mott-Schottky heterointerfaces,and a reasonable increase in the heterointerface area leads to a strong BIEF effect,where the charge accumulates at the interface and subsequently migrates along the direction of the alternating electromagnetic field to promote the dissipation of EMW by polarization loss.However,an excessive number of interfaces leads to many carriers being bound by the interfaces,which is not conducive to forming electron channels.By coordinating the heterointerface states to achieve optimal EMW absorption performance,SZ-3 can accomplish an effective absorption width(EAB)of 5.93 GHz at a thickness of 1.91 mm.This work provides new ideas and methods for BIEF-based heterointerface engineering applied to EMW absorption materials.
文摘Photothermal catalytic methane dry reforming(DRM)technology can convert greenhouse gases(i.e.CH_(4)and CO_(2))into syngas(i.e.H_(2)and CO),providing more opportunities for reducing the greenhouse effect and achieving carbon neutrality.In the DRM field,Ni-based catalysts attract wide attention due to their low cost and high activity.However,the carbon deposition over Ni-based catalysts always leads to rapid deactivation,which is still a main challenge.To improve the long-term stability of Ni-based catalysts,this work proposes a carbon-atom-diffusion strategy under photothermal conditions and investigates its effect on a Zn-doped Ni-based photothermal catalyst(Ni_(3)Zn@CeO_(2)).The photothermal catalytic behavior of Ni_(3)Zn@CeO_(2)can maintain more than 70 h in DRM reaction.And the photocatalytic DRM activity of Ni_(3)Zn@CeO_(2)is 1.2 times higher than thermal catalytic activity.Density functional theory(DFT)calculation and experimental characterizations indicate that Ni_(3)Zn promotes the diffusion of carbon atoms into the Ni_(3)Zn to form the Ni_(3)ZnC0.7 phase with body-centered cubic(bcc)structure,thus inhibiting carbon deposition.Further,in-situ diffuse reflectance infrared Fourier transform(DRIFT)spectroscopy and DFT calculation prove Ni_(3)Zn@CeO_(2)benefits the CH_(4)activation and inhibits the carbon deposition during the DRM process.Through inducing carbon atoms diffusion within the Ni_(3)Zn lattice,this work provides a straightforward and feasible strategy for achieving efficient photothermal catalytic DRM and even other CH_(4)conversion implementations with long-term stability.
基金support from Liaoning Revitalization Talents Program(XLYC2203068)National Natural Science Foundation of China(21902116)2024 Fundamental Research Funding of the Educational Department of Liaoning Province.Y.L.acknowledges the Program of China Scholarships Council(No.202206250016).
文摘Direct propane dehydrogenation(DPDH)represents a highly attractive route for on-purpose propylene production,a key building block in the petrochemical industry.In particular,among various catalytic platforms,vanadium-based catalysts have emerged as promising candidates due to their tunable properties including redox ability,surface acidity,and resistance to coking.Although the catalytic community has obtained great achievement in this area,how to promote vanadium-based catalysts towards the next step in DPDH applications like industrial-level implementations is still challenging.Moreover,there are still several controversial theories in our community,meaning it is necessary to clarify these indistinct points to pave the way for the next generation of research.Herein,the pivotal modification strategies of vanadium-based catalysts have been summarized via introducing representative works.In addition,the current unclear mechanism and research gaps,especially in the issues of deactivation and selectivity control,are also revealed so that the potential research directions are well-founded proposed.By integrating fundamental understanding and practical considerations,this review aims to inspire the further development of vanadium-based DPDH catalysts for in-depth academic research and next-generation industrial deployment.
文摘In this paper,the front axle of a certain model is taken as the research object,and the stress and deformation of the frontaxle under three typical working conditions are analyzed by finite element technology.Based on the simulation results,the 3D model of the front axle was optimized,and the finite element analysis of the optimized structure of the front axle under three typical working conditions was carried out to verify the correctness of the model.Finally,the fatigue tool module of ANSYS Workbench was used to analyze the fatigue life of the front axle under the optimized emergency conditions,and the feasibility of the model was verified.The analysis data shows that the design of the front axle components still has a lot of potential for lightweighting,and the weight of the front axle can be reduced by 6.73%through optimization,and the performance of the front axle can also meet the needs of use.The research conclusionhas a certain reference value for the lightweight design of automobile front axle.
基金supported by the National Natural Science Foundation of China under Grant Nos. U1435206 and 51672064Beijing Municipal Science & Technology Commission under Grant No. D161100002416001
文摘Porous ultra-high temperature ceramics(UHTCs)are promising for ultrahigh-temperature thermal insulation applications.However,the main limitations for their applications are the high thermal conductivity and densification of porous structure at high temperatures.In order to overcome these obstacles,herein,porous high entropy(Zr(0.2)Hf(0.2)Ti(0.2)Nb(0.2)Ta(0.2))C was prepared by a simple method combing in-situ reaction and partial sintering.Porous high entropy(Zr(0.2)Hf(0.2)Ti(0.2)Nb(0.2)Ta(0.2))C possesses homogeneous microstructure with grain size in the range of 100–500 nm and pore size in the range of 0.2–1μm,which exhibits high porosity of 80.99%,high compressive strength of 3.45 MPa,low room temperature thermal conductivity of 0.39 W·m^-1K^-1,low thermal diffusivity of 0.74 mm^2·s^-1and good high temperature stability.The combination of these properties renders porous high entropy(Zr(0.2)Hf(0.2)Ti(0.2)Nb(0.2)Ta(0.2))Cpromising as light-weight ultrahigh temperature thermal insulation materials.
基金supported financially by the National Key R&D Program of China (No. 2017YFB0703201)the National Natural Science Foundation of China (Nos. 51402311, 51372252 and 51772302)the International Cooperation Key Program (No. 174321KYSB20180008)
文摘The thermal and environmental barrier coatings (T/EBC) are technologically important for advanced propulsion engine system. In this study, RE4Hf3Oi2 (RE=Ho, Er, Tm) with defect fluorite structure was investigated for potential use as top TBC layer. Dense pellets were fabricated via a hot pressing method and the mechanical and thermal properties were characterized. RE4Hf3Oi2 (RE=Ho, Er, Tm) possessed a high Vickers hardness of 11 GFa. The material retained high elastic modulus at elevated temperatures up to 1773 K, which made it attractive for high temperature application. The coefficient of thermal expansion (CTE) of RE4Hf3Oi2 (RE = Ho, Er, Tm) laid in the range between 7× 10^-6K^-1 to 10×10^16K^-1 from 473 K to 1673 K. In addition, the rare earth hafnates exhibited lower thermal conductivity which rendered it a good candidate material for thermal barrier applications.
基金supported, in part, by the National Natural Science Foundation of China Grants (81991513, 81630066 and 81870532)Guangdong Provincial Science and Technology Innovation Council Grant (2017B030301018)Shenzhen Municipal Science and Technology Innovation Council Grants (KQJSCX20180319114434843, JCYJ20180302174117738, JCYJ20180302174246105, JSGG20180503182321166, JCYJ20150331101823686, and JCYJ20150831142427959)
文摘Our recent studies demonstrate that the focal adhesion protein Kindlin-2 is critical for chondrogenesis and early skeletal development. Here, we show that deleting Kindlin-2 from osteoblasts using the 2.3-kb mouse Col1 a1-Cre transgene minimally impacts bone mass in mice, but deleting Kindlin-2 using the 10-kb mouse Dmp1-Cre transgene, which targets osteocytes and mature osteoblasts, results in striking osteopenia in mice. Kindlin-2 loss reduces the osteoblastic population but increases the osteoclastic and adipocytic populations in the bone microenvironment. Kindlin-2 loss upregulates sclerostin in osteocytes,downregulates β-catenin in osteoblasts, and inhibits osteoblast formation and differentiation in vitro and in vivo. Upregulation ofβ-catenin in the mutant cells reverses the osteopenia induced by Kindlin-2 deficiency. Kindlin-2 loss additionally increases the expression of RANKL in osteocytes and increases osteoclast formation and bone resorption. Kindlin-2 deletion in osteocytes promotes osteoclast formation in osteocyte/bone marrow monocyte cocultures, which is significantly blocked by an anti-RANKLneutralizing antibody. Finally, Kindlin-2 loss increases osteocyte apoptosis and impairs osteocyte spreading and dendrite formation.Thus, we demonstrate an important role of Kindlin-2 in the regulation of bone homeostasis and provide a potential target for the treatment of metabolic bone diseases.
基金support from the Natural Science Foundation of China(Grant Nos.41941018,U21A20153,42177140).
文摘The shear mechanical behavior is regarded as an essential factor affecting the stability of the surrounding rocks in underground engineering.The shear strength and failure mechanisms of layered rock are significantly affected by the foliation angles.Direct shear tests were conducted on cubic slate samples with foliation angles of 0°,30°,45°,60°,and 90°.The effect of foliation angles on failure patterns,acoustic emission(AE)characteristics,and shear strength parameters was analyzed.Based on AE characteristics,the slate failure process could be divided into four stages:quiet period,step-like increasing period,dramatic increasing period,and remission period.A new empirical expression of cohesion for layered rock was proposed,which was compared with linear and sinusoidal cohesion expressions based on the results made by this paper and previous experiments.The comparative analysis demonstrated that the new expression has better prediction ability than other expressions.The proposed empirical equation was used for direct shear simulations with the combined finite-discrete element method(FDEM),and it was found to align well with the experimental results.Considering both computational efficiency and accuracy,it was recommended to use a shear rate of 0.01 m/s for FDEM to carry out direct shear simulations.To balance the relationship between the number of elements and the simulation results in the direct shear simulations,the recommended element size is 1 mm.
基金the National Key Research and Development Program of China Grant(2019YFA0906004,2019YFA0906001)the National Natural Science Foundation of China(81991513,82022047,81630066,81870532,and 81972100)+1 种基金the Guangdong Provincial Science and Technology Innovation Council(2017B030301018)Science and Technology Innovation Commission of Shenzhen Municipal Government(JCYJ20180302174117738,JCYJ20180302174246105,KQJSCX20180319114434843,and JSGG20180503182321166).
文摘The LIM domain-containing proteins Pinch1/2 regulate integrin activation and cell–extracellular matrix interaction and adhesion.Here,we report that deleting Pinch1 in limb mesenchymal stem cells(MSCs)and Pinch2 globally(double knockout;dKO)in mice causes severe chondrodysplasia,while single mutant mice do not display marked defects.Pinch deletion decreases chondrocyte proliferation,accelerates cell differentiation and disrupts column formation.Pinch loss drastically reduces Smad2/3 protein expression in proliferative zone(PZ)chondrocytes and increases Runx2 and Col10a1 expression in both PZ and hypertrophic zone(HZ)chondrocytes.Pinch loss increases sclerostin and Rankl expression in HZ chondrocytes,reduces bone formation,and increases bone resorption,leading to low bone mass.In vitro studies revealed that Pinch1 and Smad2/3 colocalize in the nuclei of chondrocytes.Through its C-terminal region,Pinch1 interacts with Smad2/3 proteins.Pinch loss increases Smad2/3 ubiquitination and degradation in primary bone marrow stromal cells(BMSCs).Pinch loss reduces TGF-β-induced Smad2/3 phosphorylation and nuclear localization in primary BMSCs.Interestingly,compared to those from single mutant mice,BMSCs from dKO mice express dramatically lower protein levels ofβ-catenin and Yap1/Taz and display reduced osteogenic but increased adipogenic differentiation capacity.Finally,ablating Pinch1 in chondrocytes and Pinch2 globally causes severe osteopenia with subtle limb shortening.Collectively,our findings demonstrate critical roles for Pinch1/2 and a functional redundancy of both factors in the control of chondrogenesis and bone mass through distinct mechanisms.
基金This work was supported in part by the Natural Science Foundation of Shanghai(21ZR1403600)the National Natural Science Foundation of China(62176059)+3 种基金Shanghai Municipal Science and Technology Major Project(2018SHZDZX01)Zhang Jiang Laboratory,Shanghai Sailing Program(21YF1402800)Shanghai Municipal of Science and Technology Project(20JC1419500)Shanghai Center for Brain Science and Brain-inspired Technology.
文摘The performance of medical image classification has been enhanced by deep convolutional neural networks(CNNs),which are typically trained with cross-entropy(CE)loss.However,when the label presents an intrinsic ordinal property in nature,e.g.,the development from benign to malignant tumor,CE loss cannot take into account such ordinal information to allow for better generalization.To improve model generalization with ordinal information,we propose a novel meta ordinal regression forest(MORF)method for medical image classification with ordinal labels,which learns the ordinal relationship through the combination of convolutional neural network and differential forest in a meta-learning framework.The merits of the proposed MORF come from the following two components:A tree-wise weighting net(TWW-Net)and a grouped feature selection(GFS)module.First,the TWW-Net assigns each tree in the forest with a specific weight that is mapped from the classification loss of the corresponding tree.Hence,all the trees possess varying weights,which is helpful for alleviating the tree-wise prediction variance.Second,the GFS module enables a dynamic forest rather than a fixed one that was previously used,allowing for random feature perturbation.During training,we alternatively optimize the parameters of the CNN backbone and TWW-Net in the meta-learning framework through calculating the Hessian matrix.Experimental results on two medical image classification datasets with ordinal labels,i.e.,LIDC-IDRI and Breast Ultrasound datasets,demonstrate the superior performances of our MORF method over existing state-of-the-art methods.
基金Supported by the National Natural Science Foundation of China(Grant No.11161032)
文摘The problem of decomposing a complete 3-uniform hypergraph into Hamilton cycles was introduced by Bailey and Stevens using a generalization of Hamiltonian chain to uniform hypergraphs by Katona and Kierstead. Decomposing the complete 3-uniform hypergraphs Kn（3） into k-cycles （3 ≤ k 〈 n） was then considered by Meszka and Rosa. This study investigates this problem using a difference pattern of combinatorics and shows that Kn·5m（3） can be decomposed into 5-cycles for n ∈ {5, 7, 10, 11, 16, 17, 20, 22, 26} using computer programming.
文摘The potential of the second wave of Artificial Intelligence (AI) to change our lives beyond recognition is both exciting and challenging. AI has been around for over three decades, and this new approach of artificial intelligence, due to enhancements in technology, both software, and hardware, has resulted in the fact that human decision-making is considered inferior and erratic in many fields: none more so than medicine. Machine learning algorithms with access to large data sets can be trained to outperform clinicians in many respects. AI’s effectiveness in accurate diagnosis of various medical conditions and medical image interpretation is well documented. Modern AI technology has the potential to transform medicine to a level never seen before in terms of efficiency and accuracy;but is also potentially highly disruptive, creating insecurity and allowing the transfer of expert domain knowledge to machines. Anesthetics is a complex medical discipline and assuming AI can easily replace experienced and knowledgeable medical practitioners is a very unrealistic expectation. AI can be used in anesthetics to develop, in some respects, more advanced clinical decision support tools based on machine learning. This paper focuses on the complexity of both AI developments, deep learning, neural networks, etc. and opportunities of AI in anesthetics for the future. It will review current advances in AI tools and hardware technologies as well as outlining how these can be used in the field of anesthetics.
基金supported by the National Key R.D Program of China(2021YFB2401904)the Joint Fund project of the National Natural Science Foundation of China(U21A20485)+1 种基金the National Natural Science Foundation of China(61976175)the Key Laboratory Project of Shaanxi Provincial Education Department Scientific Research Projects(20JS109)。
文摘The state of charge(SOC)estimation of lithium-ion battery is an important function in the battery management system(BMS)of electric vehicles.The long short term memory(LSTM)model can be employed for SOC estimation,which is capable of estimating the future changing states of a nonlinear system.Since the BMS usually works under complicated operating conditions,i.e the real measurement data used for model training may be corrupted by non-Gaussian noise,and thus the performance of the original LSTM with the mean square error(MSE)loss may deteriorate.Therefore,a novel LSTM with mixture kernel mean p-power error(MKMPE)loss,called MKMPE-LSTM,is developed by using the MKMPE loss to replace the MSE as the learning criterion in LSTM framework,which can achieve robust SOC estimation under the measurement data contaminated with non-Gaussian noises(or outliers)because of the MKMPE containing the p-order moments of the error distribution.In addition,a meta-heuristic algorithm,called heap-based-optimizer(HBO),is employed to optimize the hyper-parameters(mainly including learning rate,number of hidden layer neuron and value of p in MKMPE)of the proposed MKMPE-LSTM model to further improve its flexibility and generalization performance,and a novel hybrid model(HBO-MKMPE-LSTM)is established for SOC estimation under non-Gaussian noise cases.Finally,several tests are performed under various cases through a benchmark to evaluate the performance of the proposed HBO-MKMPE-LSTM model,and the results demonstrate that the proposed hybrid method can provide a good robustness and accuracy under different non-Gaussian measurement noises,and the SOC estimation results in terms of mean square error(MSE),root MSE(RMSE),mean absolute relative error(MARE),and determination coefficient R2are less than 0.05%,3%,3%,and above 99.8%at 25℃,respectively.
基金supported by the National Natural Science Foun-dation of China under Grant Nos.U21A2063,52002376National Key R&D Program of China under Grant No.2021YFB3702300+1 种基金Key Research Program of the Chinese Academy of Sciences under Grant No.ZDRW-CN-2021-2-2LiaoNing Revitalization Talents Pro-gram under Grant No.XLYC2002018,Natural Science Foundation of Liaoning Province under Grant No.2020-MS-006.
文摘High throughput experimentation is employed to establish a ternary system with the compositional range of 30.8 mol.%-75.7 mol.%SiO_(2),16.6 mol.%-61.7 mol.%Yb_(2)O_(3),and 6.3 mol.%-4.1 moll.%Ho_(2)O_(3) through co-sputtering deposition on one combinatorial material chip.Considering their application in advanced SiC_(f)/SiC CMC,the phase composition and mechanical properties of samples with various RE/Si ratios and Yb/Ho ratios are comprehensively investigated.Chemical stability and thermal expansion compatibility between SiC and RE silicates with different compositions are also validated.Optimized materials for the application of environmental barrier coating and interphase for SiC_(f)/SiC CMC are screened respectively according to the above trends and data.This work is a case study to establish a composition-property library for RE_(2)O_(3)-SiO_(2) compounds.It is inspired more complicated multicomponent RE silicates could be prepared and characterized by high throughput experimentation,accelerating the design and screening of promising optimal candidates.
基金supported by the National High Technology Research and Development Program of China(Grant No.2014AA01A704)National Natural Science Foundation of China(Grant No.61271203)
文摘Co-frequency and co-time full duplex(CCFD) is an attractive technology for the future wireless communication because of its high spectral efficiency.However,applications of CCFD to mobile network can suffer from strong base station to base station(B2B)interference.In this paper,the authors proposed a design that uses centralized base station(BS)transmit antenna and distributed BS receive antennas,each of which consists of an antennary to perform beamforming that can nullify the B2 B interference.In addition,we proposed a combination algorithm that uses the zero forcing method to cascade the recursive least square(RLS) method for reducing the necessary number of the bits taken to the digital processor.This enables the faster convergence and,thus,allows the transmission of more information bits,compared to the conventional method,for mobile communication.The simulation results confirm this approach for practical application.
基金supported by the National Natural Science Foundation of China(Grant Nos.12275009,12192280,and 11935004)the National Magnetic Confinement Fusion Energy Research Project(No.2021YFE031100).
文摘The properties of high entropy pyrochlore have been studied extensively,but there is no consistent conclusion on its radiation tolerance.Besides,the mechanism of the high entropy effect on the radiation tolerance of pyrochlore is still unclear.In this work,combined with experiments and calculations of pyrochlores with similar cationic radius ratios,the A-site and B-site high entropy effects on structural evolution under irradiation are analyzed.In situ irradiation experiments were carried out on A-site high entropy pyrochlores such as(La_(0.2)Nd_(0.2)Sm_(0.2)Gd_(0.2)Er_(0.2))_(2)Zr_(2)O_(7),B-site Gd_(2)(Ti_(1/3)Sn_(1/3)Zr_(1/3))_(2)O_(7),and ternary pyrochlore Sm_(2)Zr_(2)O_(7) and Gd_(2)Sn_(2)O_(7) for comparison.The A-site high entropy pyrochlore can maintain a stable structure under high fluence irradiation like corresponding ternary pyrochlore,demonstrated by high angle annular dark field scanning transmission electron microscopy(HAADF-STEM),energy dispersive spectroscopy(EDS)mapping and Raman spectrum.The additional irradiation experiments on A-site high entropy pyrochlores(La_(1/3)Nd_(1/3)Gd_(1/3))_(2)Zr_(2)O_(7) and(Nd_(1/3)Sm_(1/3)Gd_(1/3))_(2)Zr_(2)O_(7) also confirm the similarity under irradiation between A-site high entropy and ternary pyrochlores.However,the B-site high entropy pyrochlore Gd_(2)(Ti_(1/3)Sn_(1/3)Zr_(1/3))_(2)O_(7) becomes amorphous at exceptionally low irradiation fluences,indicating a significantly distinct radiation tolerance compared with the A-site high entropy.The difference between the A-site and B-site high entropy effect is analyzed from cationic lattice distortion,bond strength,and inner electron binding energy by first-principles calculations.The results reveal the role and mechanism of the high entropy effect in pyrochlores and lay a foundation for material design and future applications.
文摘Voltage Source Converter-based High Voltage Direct Current(VSC-HVDC)transmission technology represents a groundbreaking approach in high voltage Direct Current(DC)transmission,offering numerous technical advantages and broad application prospects.However,in the d-q synchronous rotating coordinate system,the VSC-HVDC exhibits the coupling effect of active power and reactive power,so it needs to be decoupled.This paper introduces the basic principle and mathematical model of the VSC-HVDC transmission system.Through the combination of coordinate transformation and variable substitution,a feedforward decoupling control method is derived.Then the VSC-HVDC simulation model is designed,and the simulation analysis is carried out in the MATLAB environment.The simulation results demonstrate that the method effectively achieves decoupling control of active and reactive power,exhibiting superior dynamic performance and robustness.These findings validate the correctness and effectiveness of the control strategy.
基金the financial support of the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB0470103)the Key Research and Development Program in Shandong Province(No.SYS202203)+5 种基金the National Natural Science Foundation of China(Nos.52275219,U21A2046,52205230,52205233)the Program for Taishan Scholars of Shandong Province(No.ts20190965)the Key Research Program of the Chinese Academy of Sciences(No.ZDBS-ZRKJZ-TLC010)the Western Light Project of CAS(No.xbzg-zdsys-202118)Major Science and Technology Projects in Gansu Province(No.22ZD6GA002)the Major Program of the Lanzhou Institute of Chemical Physics,CAS(No.ZYFZFX-5).
文摘The stable operation of friction pairs is one of the most critical factors to maintain the stable operation of mechanical equipment.The real-time monitoring of lubrication state of the friction pair is very important to ensure the normal operation of machinery and realize early warning of wear failure,but it is also a big challenge.In this article,a new lubrication insitu monitoring system is designed,which can monitor the lubrication and wear state of friction pairs through triboelectrification.The current acquisition module and friction coefficient acquisition module are integrated into a high vacuum hydrodynamic oil film thickness measuring instrument to explore the intrinsic relationship between triboelectricity and friction coefficient curves.When severe wear occurs,the oil film at the interface of the friction pair is no longer complete,and the accumulated triboelectric charge at the interface of the friction pair breaks down the air and causes discharge,the friction current suddenly increases from nanoampere level to microampere level.The time node when discharge occurs at the steel ball interface is well consistent with the time node when the friction pair suffers serious wear.According to the corresponding relationship between the triboelectric current and the friction and wear status of the friction pair,an early wear warning monitoring system is designed to monitor the operating status of the friction pair in real time through triboelectric signals.When the mechanical friction pair is worn,the early warning system will send out sound and light alarm signals and send real-time warnings to the mobile terminal through the Internet of Things,providing a new and reliable method for real-time monitoring of friction and wear of grease-lubricated machinery.
基金Project supported by the National Natural Science Foundation of China(Nos.62306075 and 62101136)the China Postdoctoral Science Foundation(No.2022TQ0069)+2 种基金the Natural Science Foundation of Shanghai,China(No.21ZR1403600)the Shanghai Municipal of Science and Technology Project,China(No.20JC1419500)the Shanghai Center for Brain Science and Brain-Inspired Technology,China。
文摘Prompt learning has attracted broad attention in computer vision since the large pre-trained visionlanguagemodels (VLMs) exploded. Based on the close relationship between vision and language information builtby VLM, prompt learning becomes a crucial technique in many important applications such as artificial intelligencegenerated content (AIGC). In this survey, we provide a progressive and comprehensive review of visual promptlearning as related to AIGC. We begin by introducing VLM, the foundation of visual prompt learning. Then, wereview the vision prompt learning methods and prompt-guided generative models, and discuss how to improve theefficiency of adapting AIGC models to specific downstream tasks. Finally, we provide some promising researchdirections concerning prompt learning.
