In the context of the global energy low-carbon transition,phase change energy storage technology becomes a key technology to solve the problem of intermittent renewable energy.Oriented phase change composites(OCPCMs)r...In the context of the global energy low-carbon transition,phase change energy storage technology becomes a key technology to solve the problem of intermittent renewable energy.Oriented phase change composites(OCPCMs)receive widespread attention in practical energy storage applications due to their unique oriented thermally conductive structure,which achieves significant thermal conductivity enhancement in specific directions while retaining the high energy storage capacity of the phase change components.This review systematically summarizes the overall analysis of OCPCMs from synthesis and preparation to application scenarios in recent years.Herein,we introduce the analysis of the heat transfer mechanism of the materials and explore the advantages of the oriented structure in OCPCMs in the heat transfer behavior from a bionic perspective.We then focus on summarizing and generalizing the methods for preparing OCPCMs,giving suggestions for suitable methods according to different scenarios.Besides,we discuss the application of finite element simulation methods to the monitoring of the thermal management behavior of OCPCMs,and look into the potential future application areas of such materials.Finally,it is hoped that this review will provide guidance for the academic community in developing high-performance OCPCMs.展开更多
In contrast to the nearly fixed flying altitude of satellite remote sensing platforms,aerial remote sensing(e.g.,unmanned aerial vehicles)often employs oblique photography at varying flying altitudes to observe object...In contrast to the nearly fixed flying altitude of satellite remote sensing platforms,aerial remote sensing(e.g.,unmanned aerial vehicles)often employs oblique photography at varying flying altitudes to observe objects from multiple angles and distances in real time.While the existing oriented object detection methods have already demonstrated reliable results in most satellite remote sensing scenarios and achieved high detection precision on large public datasets,such as DOTA-v1.0 and DIOR-R,these methods tend to perform suboptimally on aerial remote sensing images.This performance gap is primarily due to the following two challenges:(A)significant shape variation of objects under multi-view imaging scenarios and(B)substantial object scale variation under multi-distance imaging conditions.To address these issues,we propose the SAA-O2DINO(oriented object detection transformer with improved denoising anchor boxes and shape-adaptive assigner)method for aerial remote sensing in this paper.The proposed method is based on the recently developed AO2DINO framework.It introduces an enhanced Shape-Adaptive Assigner(SAA)that incorporates object shape information into the threshold estimation,allowing for more accurate separation of positive and negative samples,thereby improving the model's adaptability to significant shape changes across different imaging angles.Additionally,a Gradient Calibration Loss(GCL)is introduced to mitigate the problem of object scale variation.The GCL employs a gradient scaling strategy to reduce scale sensitivity during the optimisation process.We comprehensively compare the proposed method against typical oriented object detection approaches on the DOTA-v1.0 and VSAI datasets.The results show that the proposed method has substantial improvement in detection performance across all datasets,particularly for aerial remote sensing images,validating the generalisation capabilities of our model.展开更多
Sporosarcina pasteurii was employed as the strain,with an in-situ magnetization construction,to obtain magnetic microorganisms and oriented self-healing mortar specimens based on them.The magnetic field was used to ac...Sporosarcina pasteurii was employed as the strain,with an in-situ magnetization construction,to obtain magnetic microorganisms and oriented self-healing mortar specimens based on them.The magnetic field was used to achieve the directional migration of magnetic microorganisms during the oriented selfhealing of mortar cracks,improving the rate of self-healing of cracks.The experimental results demonstrate that the magnetic microorganisms are composed of Fe3O4nanosheets attached to the surface of Sporosarcina pasteurii,whose mineralization products are comprised of vaterite primarily.Compared with the pure microbial group,the magnetic microbial group exhibits a faster repair rate,shortening the repair time required to achieve an area repair efficiency of over 90%from 28 days to 14 days,thereby doubling the repair rate.Meanwhile,the area repair efficiency of the magnetic microbial group at 7,14,and 28 days are increased by 50.3%,11.2%,and 4.6%,respectively,compared to the pure microbial group,which are due to the magnetic microorganisms'superior directional migration and mineralization ability,exceeding that of the ordinary microorganisms.展开更多
Systematically analyzing the impact mechanisms of policy on Land Use Conflict(LUC)is crucial for constructing effective conflict mitigation strategies.However,previous research on how policy influences LUC remains rel...Systematically analyzing the impact mechanisms of policy on Land Use Conflict(LUC)is crucial for constructing effective conflict mitigation strategies.However,previous research on how policy influences LUC remains relatively limited.Focusing on the indirect driving role of policy on LUC,this study proposed County Development Level(CDL)under Major Function Oriented Zone Planning(MFOZP)guidance as an intermediary variable,bridging the implicit influence of MFOZP and the explicit changes in LUC.Using the Beijing-Tianjin-Hebei(BTH)region in China as a case study,we analyzed the spatio-temporal evolution characteristics of LUC and CDL for the periods 2000-2010 and 2010-2020,before and after MFOZP implementation.Panel models and Geographically Weighted Regression(GWR)were employed to explore the mechanism by which CDL influences LUC under MFOZP guidance.The results show that:1)MFOZP implementation effectively alleviates land use pressure from regional development,with LUC continuously declining at a rate of 2.41%,while CDL exhibits slight growth(3.84%),during 2010-2020.2)Under MFOZP guidance,CDL reduces pressure on Land Use Structure Conflict(LUSC)and Land Use Process Conflict(LUPC),enhances its inhibitory effect on Land Use Function Conflict(LUFC),and significantly contributes to LUC coordination,with notable spatial heterogeneity.3)The coupling relationship between CDL and LUC has improved post-implementation.Based on this,tailored LUC coordination strategies are proposed for different functional zones.This study confirms the effectiveness of MFOZP in coordinating LUC and provides a scientific reference for LUC research under policy frameworks and the governance of LUC in the BTH region.展开更多
Magneto-acousto-electrical tomography(MAET)is a promising imaging modality capable of visualizing electrical conductivity variations in tissues.However,its imaging quality and efficiency are often compromised by the m...Magneto-acousto-electrical tomography(MAET)is a promising imaging modality capable of visualizing electrical conductivity variations in tissues.However,its imaging quality and efficiency are often compromised by the mechanical rotation and scanning processes.An advanced MAET approach that employs cyclic excitation of omnidirectional transducers and synchronous detection with orthogonally oriented electrodes is presented.The principle of MAE measurement regarding acoustic excitation and electrical detection at arbitrary positions is derived.It confirms that the signal attenuation originates from the cosine product of the angles between the conductivity boundary and the positions of the transducer and electrode.A new tomographic algorithm utilizing amplitude summation for electrodedetected signals is developed,and it is further refined through the application of square-amplitude summation for orthogonally oriented electrodes.The performance improvement is validated by accurate reconstruction of an eccentrically positioned cylindrical model,using an optimized experimental system comprising 32 sources and 4 electrodes.These promising results demonstrate that the efficiency,stability,and quality of MAET can be substantially enhanced through electrically controlled cyclic excitation and synchronous detection,thereby eliminating the need for mechanical activities.By integrating MAET with ultrasonic CT,a novel dual-modality imaging strategy that leverages both electrical and acoustic impedances can be further advanced.展开更多
By simultaneously introducing a finite-difference-based numerical loss term and a clustering-reconstruction mechanism,we propose an enhanced physics-informed neural network named the informed reconstruction-oriented n...By simultaneously introducing a finite-difference-based numerical loss term and a clustering-reconstruction mechanism,we propose an enhanced physics-informed neural network named the informed reconstruction-oriented numerical network(IRON-Net)and subsequently apply it to the Manakov equations-a well-known two-component nonlinear physical model.Numerical experiments are conducted on a dataset containing eight analytical solu-tions with noise.The results indicate that,compared to conventional PINNs and other mainstream algorithms,IRON-Net demonstrates significant advantages in training accuracy,convergence rate,and robustness,achiev-ing a stepwise improvement in the neural network’s ability to enforce physical constraints.Additional ablation experiments further confirm the necessity of the consistency constraint within IRON-Net.This study provides an effective approach for modeling and parameter identification in complex nonlinear optical systems as well as other nonlinear physical scenarios.展开更多
The realization of bifunctional perovskite devices integrating photovoltaic(PV)and light-emitting diode(LED)capabilities requires precisely controlled grain architectures to facilitate dual carrier transport pathways....The realization of bifunctional perovskite devices integrating photovoltaic(PV)and light-emitting diode(LED)capabilities requires precisely controlled grain architectures to facilitate dual carrier transport pathways.In this work,sulfaguanidine(SG)molecules were introduced into the perovskite solution to reconstruct the crystallization kinetics and further form vertically oriented single-layer grains in FAPbI3 films.The guanidinium group(-NH-C(=NH)-NH2-)and the sulfonamide group(-SO2-NH-)synergistically create continuous carrier channels:The former bridges adjacent grains through Pb2+coordination,whereas the latter establishes hydrogen-bonding networks with FA+cations.This through-thickness transport structure simultaneously enhances out-of-plane charge transport and enables bidirectional functionality,resulting in an increase of approximately one order of magnitude in the carrier mobility.Consequently,the external quantum efficiency(EQE)of the device increased from 14.4%to 25.8%,with a record-ultralow turn-on voltage of 1.10 V and<20%EQE roll-off at a current of 500 mA cm-2,while maintaining 12.58%PV efficiency.This work establishes through-thickness transport structure engineering as a critical strategy for developing monolithic optoelectronic systems.展开更多
Inhibiting dendrites formation and side-reactions is a critical challenge for practical application of aqueous Zn-ion batteries(AZIBs).Electrolyte additives offer an effective solution to address this problem.Inspired...Inhibiting dendrites formation and side-reactions is a critical challenge for practical application of aqueous Zn-ion batteries(AZIBs).Electrolyte additives offer an effective solution to address this problem.Inspired by using green corrosion inhibitor for metals,we introduce caffeine,extracted from tea-leaf,as an additive to achieve stable AZIBs.Caffeine,with its N and O containing groups,strongly adsorbs on the Zn anode and Zn2+ions.This featured adsorption induces the replacement of water molecules from electric double layer(EDL)and solvation shell,suppressing side-reactions such as corrosion and hydrogen evolution reaction(HER).Moreover,the selective adsorption and steric hindrance of caffeine promote Zn(002)-oriented deposition,resulting in uniform and compact zinc deposits at both low and high current density and areal capacity.Due to the significantly suppressed dendrites and corrosion,the Coulomb Efficiency(CE)reaches 99.24%after 800 cycles,and the Zn||MnO2battery shows a specific capacity of 167.2 mAh g−1with 81%capacity retention after 1000 cycles at 2 A g−1.展开更多
Flexible transparent antennas(FTAs)are widely used in wireless transmission fields,and their technological iterations are accelerating.However,the high losses caused by materials and structures limit the development o...Flexible transparent antennas(FTAs)are widely used in wireless transmission fields,and their technological iterations are accelerating.However,the high losses caused by materials and structures limit the development of FTAs with both high light transmission and high gain,and the rapid iteration rate demands greater process flexibility,which makes it difficult for existing technologies to achieve both demands.Here,we design a novel shell-core structure composite metal mesh(CMM)FTA to achieve extremely low skin depth loss and ohmic loss using skin effect and report a novel hybrid additive manufacturing method based on electric field oriented deposition to achieve efficient and flexible manufacturing of the unique Ag/Cu core-shell structure CMM FTA.The typical sample has a light transmittance of 80%(including substrate)when the sheet resistance is 0.29Ω·sq-1,and has excellent bending and torsion resistance.The peak gain in the working band is as high as 5.22 dB,and the efficiency is 80%,which is close to the performance of the opaque Cu patch antenna.It also realizes smooth and stable real-time wireless transmission under bending and long-distance conditions.This method addresses the shortcomings of FTAs,namely their high cost,low manufacturing efficiency,and low performance,especially in the rapid iterative development of antennas.展开更多
Objective To explore the application effect of goal-oriented refined nursing in the perioperative period of patients with thoracic aortic dissection aneurysm. Methods A total of 40 patients with thoracic aortic dissec...Objective To explore the application effect of goal-oriented refined nursing in the perioperative period of patients with thoracic aortic dissection aneurysm. Methods A total of 40 patients with thoracic aortic dissection aneurysm who received surgical treatment in our hospital from December 2020 to December 2025 were selected as research subjects. They were divided into control group and observation group according to different perioperative nursing methods, with 20 cases in each group. The control group received routine perioperative nursing, while the observation group adopted goal-oriented refined nursing on the basis of routine nursing. The two groups were compared in terms of perioperative blood pressure and heart rate control, NRS pain score, SAS and SDS scores, QoR-15 postoperative recovery quality score, Barthel index, incidence of postoperative complications and clinical recovery indicators. Results The blood pressure compliance rate within 72 hours after operation in the observation group was higher than that in the control group, and the fluctuation ranges of systolic blood pressure, diastolic blood pressure and heart rate were lower than those in the control group (P<0.05). Before discharge, the SAS and SDS scores of the observation group were lower, and the Barthel index was higher than those of the control group (P<0.05). The incidence of postoperative complications in the observation group was lower, and the duration of mechanical ventilation, ICU stay, time to first ambulation and hospital stay were shorter than those in the control group (P<0.05). Conclusion Goal-oriented refined nursing can improve the perioperative hemodynamic management of patients with thoracic aortic dissection aneurysm, relieve pain and negative emotions, enhance postoperative recovery quality, reduce the risk of complications, and promote postoperative rehabilitation of patients.展开更多
The evolution of energy storage technology has seen remarkable progress,with a shift from pure metals to sophisticated,tailor-made active materials.The synthesis of nanostructures with exceptional properties is crucia...The evolution of energy storage technology has seen remarkable progress,with a shift from pure metals to sophisticated,tailor-made active materials.The synthesis of nanostructures with exceptional properties is crucial in the advancement of electrode materials.In this regard,our study highlights the fabrication of a novel,oriented heterostructure comprised of Zn-Mn-Co-telluride grown on a pre-oxidized copper mesh using a hydrothermal method followed by a solvothermal process.This innovative approach leads to the formation of the Zn-Mn-Cotelluride@CuO@Cu heterostructure,which demonstrates the unique oriented morphology.It outperforms both Zn-Mn-Co-telluride@Cu and CuO@Cu by exhibiting lower electrical resistivity,increased redox activity,higher specific capacity,and improved ion diffusion characteristics.The conductivity enhancements of the heterostructure are corroborated by density functional theory(DFT)calculations.When utilized in a hybrid supercapacitor(HSC)alongside activated carbon(AC)electrodes,the Zn-Mn-Co-telluride@CuO@Cu heterostructurebased HSC achieves an energy density of 75.7 Wh kg-1.Such findings underscore the potential of these novel electrode materials to significantly impact the design of next-generation supercapacitor devices.展开更多
Cement occupies a significant proportion in construction,serving as the primary material for components such as bricks and walls.However,its role is largely limited to load-bearing functions,with little exploration of...Cement occupies a significant proportion in construction,serving as the primary material for components such as bricks and walls.However,its role is largely limited to load-bearing functions,with little exploration of additional applications.Simultaneously,buildings remain a major contributor to global energy consumption,accounting for 40%of total energy use.Here,we for the first time endow cement with energy storage functionality by developing cement-based solid-state energy storage wallboards(CSESWs),which can utilize the ample idle surface areas of building walls to seamlessly store renewable energy from distributed photovoltaics without compromising building safety or requiring additional space.Owing to unprecedented microstructures and composition interactions,these CSESWs not only achieve a superionic conductivity of 101.1 mS cm−1but also demonstrate multifunctionality,such as significant toughness,thermal insulation,lightweight,and adhesion.When integrated with asymmetrical electrodes,the CSESWs exhibit a remarkable capacitance(2778.9 mF cm−2)and high areal energy density(10.8 mWhcm−2).Moreover,existing residential buildings renovated with our CSESWs can supply 98%of daily electricity needs,demonstrating their outstanding potential for realizing zero-carbon buildings.This study pioneers the use of cement in energy storage,providing a scalable and cost-effective pathway for sustainable construction.展开更多
Tea plant(Camellia sinensis)exhibits remarkable metabolic diversity in their specialized secondary metabolites,such as catechins,theanine,caffeine,and volatile compounds,defining both ecological adaptability and thera...Tea plant(Camellia sinensis)exhibits remarkable metabolic diversity in their specialized secondary metabolites,such as catechins,theanine,caffeine,and volatile compounds,defining both ecological adaptability and therapeutic value.Environmental factors and phytohormonal regulation are proven as critical modulators of secondary metabolism,with certain signaling pathways coordinating stress-responsive metabolite production through transcriptional and post-transcriptional mechanisms.The development of chromosome-scale genome assemblies,pangenome,and 3D chromatin map resources has revealed extensive genomic variations that lead to metabolic distinctions.While metabolomics approaches including nuclear magnetic resonance,mass spectrometry,and emerging ion mobility techniques have enabled comprehensive profiling of flavor-related compounds,challenges persist in linking metabolic signatures to genetic determinants across diverse germplasms.Population genomics studies through metabolic genome-wide association have identified key quantitative trait loci and allelic variants governing metabolite accumulation.This review integrates recent metabolomic and genomic advancements to construct a roadmap for harnessing tea's functional metabolite diversity through germplasm resources,elucidating the biochemical and genetic foundations of quality traits to advance precision breeding applications.展开更多
Grain-oriented silicon steels were prepared at different heating rates during high temperature annealing,in which the evolution of magnetic properties,grain orientations and precipitates were studied.To illustrate the...Grain-oriented silicon steels were prepared at different heating rates during high temperature annealing,in which the evolution of magnetic properties,grain orientations and precipitates were studied.To illustrate the Zener factor,the diameter and number density of precipitates of interrupted testing samples were statistically calculated.The effect of precipitate ripening on the Goss texture and magnetic property was investigated.Data indicated that the trend of Zener factor was similar under different heating rates,first increasing and then decreasing,and that the precipitate maturing was greatly inhibited as the heating rate increased.Secondary recrystallization was developed at the temperature of 1010℃when a heating rate of 5℃/h was used,resulting in Goss,Brass and{110}oriented grains growing abnormally and a magnetic induction intensity of 1.90T.Furthermore,increasing the heating rate to 20℃/h would inhibit the development of undesirable oriented grains and obtain a sharp Goss texture.However,when the heating rate was extremely fast,such as 40℃/h,poor secondary recrystallization was developed with many island grains,corresponding to a decrease in magnetic induction intensity to 1.87 T.At a suitable heating rate of 20℃/h,the sharpest Goss texture and the highest magnetic induction of 1.94 T with an onset secondary recrystallization temperature of 1020℃were found among the experimental variables in this study.The heating rate affected the initial temperature of secondary recrystallization by controlling the maturation of precipitates,leading to the deviation and dispersion of Goss texture,thereby reducing the magnetic properties.展开更多
Detecting oriented targets in remote sensing images amidst complex and heterogeneous backgrounds remains a formidable challenge in the field of object detection.Current frameworks for oriented detection modules are co...Detecting oriented targets in remote sensing images amidst complex and heterogeneous backgrounds remains a formidable challenge in the field of object detection.Current frameworks for oriented detection modules are constrained by intrinsic limitations,including excessive computational and memory overheads,discrepancies between predefined anchors and ground truth bounding boxes,intricate training processes,and feature alignment inconsistencies.To overcome these challenges,we present ASL-OOD(Angle-based SIOU Loss for Oriented Object Detection),a novel,efficient,and robust one-stage framework tailored for oriented object detection.The ASL-OOD framework comprises three core components:the Transformer-based Backbone(TB),the Transformer-based Neck(TN),and the Angle-SIOU(Scylla Intersection over Union)based Decoupled Head(ASDH).By leveraging the Swin Transformer,the TB and TN modules offer several key advantages,such as the capacity to model long-range dependencies,preserve high-resolution feature representations,seamlessly integrate multi-scale features,and enhance parameter efficiency.These improvements empower the model to accurately detect objects across varying scales.The ASDH module further enhances detection performance by incorporating angle-aware optimization based on SIOU,ensuring precise angular consistency and bounding box coherence.This approach effectively harmonizes shape loss and distance loss during the optimization process,thereby significantly boosting detection accuracy.Comprehensive evaluations and ablation studies on standard benchmark datasets such as DOTA with an mAP(mean Average Precision)of 80.16 percent,HRSC2016 with an mAP of 91.07 percent,MAR20 with an mAP of 85.45 percent,and UAVDT with an mAP of 39.7 percent demonstrate the clear superiority of ASL-OOD over state-of-the-art oriented object detection models.These findings underscore the model’s efficacy as an advanced solution for challenging remote sensing object detection tasks.展开更多
Rail positioning is a critical step for detecting rail defects downstream.However,existing orientation-based detectors struggle to effectively manage rails with arbitrary inclinations and high aspect ratios,particular...Rail positioning is a critical step for detecting rail defects downstream.However,existing orientation-based detectors struggle to effectively manage rails with arbitrary inclinations and high aspect ratios,particularly in turnout sections.To address these challenges,a fuzzy boundary guidance and oriented Gaussian function-based anchor-free network termed the rail positioning network(RP-Net)is proposed for rail positioning in turnout sections.First,an oriented Gaussian function-based label generation strategy is introduced.This strategy produces smoother and more accu-rate label values by accounting for the specific aspect ratios and orientations of the rails.Second,a fuzzy boundary learning module is developed to enhance the network’s abil-ity to model the rail boundary regions effectively.Further-more,a boundary guidance module is developed to direct the network in fusing the features obtained from the downs-ampled network output with the boundary region features,which have been enhanced to contain more refined posi-tional and structural information.A local channel attention mechanism is integrated into this module to identify critical channels.Finally,experiments conducted on the tracking dataset show that the proposed RP-Net achieves high posi-tioning accuracy and demonstrates strong adaptability in complex scenarios.展开更多
Extracting ethanol from aqueous solutions is important but challenging in industry.Pervaporation membranes show great promise for separating ethanol from water,with the design of their structure being crucial for enha...Extracting ethanol from aqueous solutions is important but challenging in industry.Pervaporation membranes show great promise for separating ethanol from water,with the design of their structure being crucial for enhancing performance.In this study,we developed an oriented bimetallic metal-organic framework(MOF)membrane,designated as ZIF-CoZn,for the pervaporation separation of ethanol from water.During crystal growth,bimetallic salts provide specific nucleation sites,and the competitive coordination between Co and Zn ions shifts the energetically favorable(100)plane to the(211)plane.This orientation enables precise molecular-level control over hydrophobic ligand arrangement,effectively repelling water molecules.Meanwhile,bimetallic competition enlarges pore sizes,facilitating ethanol permeation.When compared to single-metal MOF membranes made of cobalt or zinc,the separation factor of the ZIF-CoZn membrane for ethanol/water mixtures increased by 127%and 160%,respectively.Benefiting from the high roughness and increased exposure of hydrophobic ligands due to the preferential(211)orientation,ZIF-CoZn exhibits superhydrophobicity after vinyl-polydimethylsiloxane coating.The oriented ZIF-CoZn membrane was also scaled up to an area of 1 m2.This work provides valuable insights into optimizing MOF membrane structure and lays the foundation for its promotion and application in the industry.展开更多
In recent years,service computing has been widely integrated into software development.Web service development,especially under the RESTful schema,needs to guide students in transferring from object-oriented to resour...In recent years,service computing has been widely integrated into software development.Web service development,especially under the RESTful schema,needs to guide students in transferring from object-oriented to resource-oriented architectural thinking and cultivating students’literacy in design thinking,design patterns,and development methods.This paper introduces the foundations of service thinking with a brief review of service sciences,the core features of service thinking,and how to train service thinking of students.It also introduces a case study in Shandong University in the construction of a service computing curriculum system,especially how to highlight the cultivation of service thinking in the design of service software system.展开更多
Chinese consumers browsing e-commerce platforms or walking in supermarket aisles have noticed a new feature:dedicated sections for high-quality export products.Far from being a mere marketing gimmick,this trend emerge...Chinese consumers browsing e-commerce platforms or walking in supermarket aisles have noticed a new feature:dedicated sections for high-quality export products.Far from being a mere marketing gimmick,this trend emerged due to intense pressure from a slide in global demand.展开更多
Ideological and political education in courses is an important task of higher education in the new era.As a crucial part of higher education,foreign language teaching needs to actively explore effective integration wi...Ideological and political education in courses is an important task of higher education in the new era.As a crucial part of higher education,foreign language teaching needs to actively explore effective integration with ideological and political education in courses.The AVIVA teaching model,a student-centered teaching model,provides new ideas for foreign language teaching.Based on an analysis of the current situation of foreign language courses in application-oriented universities,this article discusses the application strategies of the AVIVA teaching model from the perspective of ideological and political education in courses.Through specific teaching practice cases,it demonstrates the effectiveness of this model in improving students’foreign language proficiency and ideological and political literacy,providing a reference for the reform of foreign language teaching in application-oriented universities.展开更多
基金financially supported by the Fundamental Research Funds for the Central Universities(No.FRF-KST-25-001)the Beijing Natural Science Foundation(No.L253029)。
摘要In the context of the global energy low-carbon transition,phase change energy storage technology becomes a key technology to solve the problem of intermittent renewable energy.Oriented phase change composites(OCPCMs)receive widespread attention in practical energy storage applications due to their unique oriented thermally conductive structure,which achieves significant thermal conductivity enhancement in specific directions while retaining the high energy storage capacity of the phase change components.This review systematically summarizes the overall analysis of OCPCMs from synthesis and preparation to application scenarios in recent years.Herein,we introduce the analysis of the heat transfer mechanism of the materials and explore the advantages of the oriented structure in OCPCMs in the heat transfer behavior from a bionic perspective.We then focus on summarizing and generalizing the methods for preparing OCPCMs,giving suggestions for suitable methods according to different scenarios.Besides,we discuss the application of finite element simulation methods to the monitoring of the thermal management behavior of OCPCMs,and look into the potential future application areas of such materials.Finally,it is hoped that this review will provide guidance for the academic community in developing high-performance OCPCMs.
基金supported by the National Natural Science Foundation of China(No.12472189)the Science and Technology Innovation Program of Hunan Province,China(No.2022RC11966)。
摘要In contrast to the nearly fixed flying altitude of satellite remote sensing platforms,aerial remote sensing(e.g.,unmanned aerial vehicles)often employs oblique photography at varying flying altitudes to observe objects from multiple angles and distances in real time.While the existing oriented object detection methods have already demonstrated reliable results in most satellite remote sensing scenarios and achieved high detection precision on large public datasets,such as DOTA-v1.0 and DIOR-R,these methods tend to perform suboptimally on aerial remote sensing images.This performance gap is primarily due to the following two challenges:(A)significant shape variation of objects under multi-view imaging scenarios and(B)substantial object scale variation under multi-distance imaging conditions.To address these issues,we propose the SAA-O2DINO(oriented object detection transformer with improved denoising anchor boxes and shape-adaptive assigner)method for aerial remote sensing in this paper.The proposed method is based on the recently developed AO2DINO framework.It introduces an enhanced Shape-Adaptive Assigner(SAA)that incorporates object shape information into the threshold estimation,allowing for more accurate separation of positive and negative samples,thereby improving the model's adaptability to significant shape changes across different imaging angles.Additionally,a Gradient Calibration Loss(GCL)is introduced to mitigate the problem of object scale variation.The GCL employs a gradient scaling strategy to reduce scale sensitivity during the optimisation process.We comprehensively compare the proposed method against typical oriented object detection approaches on the DOTA-v1.0 and VSAI datasets.The results show that the proposed method has substantial improvement in detection performance across all datasets,particularly for aerial remote sensing images,validating the generalisation capabilities of our model.
基金Funded by the National Key R&D Program of China(No.2023YFC3806100)the National Nature Science Foundation of China(Nos.52278269,52278268,52178264,and 52108238)+2 种基金the Tianjin Outstanding Young Scholars Science Fund Project(No.22JCJQJC00020)the Key Project of Tianjin Natural Science Foundation(No.23JCZDJC00430)the Joint Research Center of China and Foreign Countries Special Fund of Tianjin Innovation Platform(No.24PTLYHZ00240)。
摘要Sporosarcina pasteurii was employed as the strain,with an in-situ magnetization construction,to obtain magnetic microorganisms and oriented self-healing mortar specimens based on them.The magnetic field was used to achieve the directional migration of magnetic microorganisms during the oriented selfhealing of mortar cracks,improving the rate of self-healing of cracks.The experimental results demonstrate that the magnetic microorganisms are composed of Fe3O4nanosheets attached to the surface of Sporosarcina pasteurii,whose mineralization products are comprised of vaterite primarily.Compared with the pure microbial group,the magnetic microbial group exhibits a faster repair rate,shortening the repair time required to achieve an area repair efficiency of over 90%from 28 days to 14 days,thereby doubling the repair rate.Meanwhile,the area repair efficiency of the magnetic microbial group at 7,14,and 28 days are increased by 50.3%,11.2%,and 4.6%,respectively,compared to the pure microbial group,which are due to the magnetic microorganisms'superior directional migration and mineralization ability,exceeding that of the ordinary microorganisms.
基金Under the auspices of the National Key Research and Development Program of China(No.2018YFD1100803)the Fundamental Research Fund for the Central Universities(Ph.D.Top Innovative Talents Fund of CUMTB)(No.BBJ2024029)。
摘要Systematically analyzing the impact mechanisms of policy on Land Use Conflict(LUC)is crucial for constructing effective conflict mitigation strategies.However,previous research on how policy influences LUC remains relatively limited.Focusing on the indirect driving role of policy on LUC,this study proposed County Development Level(CDL)under Major Function Oriented Zone Planning(MFOZP)guidance as an intermediary variable,bridging the implicit influence of MFOZP and the explicit changes in LUC.Using the Beijing-Tianjin-Hebei(BTH)region in China as a case study,we analyzed the spatio-temporal evolution characteristics of LUC and CDL for the periods 2000-2010 and 2010-2020,before and after MFOZP implementation.Panel models and Geographically Weighted Regression(GWR)were employed to explore the mechanism by which CDL influences LUC under MFOZP guidance.The results show that:1)MFOZP implementation effectively alleviates land use pressure from regional development,with LUC continuously declining at a rate of 2.41%,while CDL exhibits slight growth(3.84%),during 2010-2020.2)Under MFOZP guidance,CDL reduces pressure on Land Use Structure Conflict(LUSC)and Land Use Process Conflict(LUPC),enhances its inhibitory effect on Land Use Function Conflict(LUFC),and significantly contributes to LUC coordination,with notable spatial heterogeneity.3)The coupling relationship between CDL and LUC has improved post-implementation.Based on this,tailored LUC coordination strategies are proposed for different functional zones.This study confirms the effectiveness of MFOZP in coordinating LUC and provides a scientific reference for LUC research under policy frameworks and the governance of LUC in the BTH region.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.12227808 and 12174198)the Natural Science Foundation of Jiangsu Province(Grant No.BE2022814)+1 种基金Qing Lan Project of Jiangsu ProvinceUniversal Technology for Primary and Secondary Schools,National Research Institute for Teaching Materials。
摘要Magneto-acousto-electrical tomography(MAET)is a promising imaging modality capable of visualizing electrical conductivity variations in tissues.However,its imaging quality and efficiency are often compromised by the mechanical rotation and scanning processes.An advanced MAET approach that employs cyclic excitation of omnidirectional transducers and synchronous detection with orthogonally oriented electrodes is presented.The principle of MAE measurement regarding acoustic excitation and electrical detection at arbitrary positions is derived.It confirms that the signal attenuation originates from the cosine product of the angles between the conductivity boundary and the positions of the transducer and electrode.A new tomographic algorithm utilizing amplitude summation for electrodedetected signals is developed,and it is further refined through the application of square-amplitude summation for orthogonally oriented electrodes.The performance improvement is validated by accurate reconstruction of an eccentrically positioned cylindrical model,using an optimized experimental system comprising 32 sources and 4 electrodes.These promising results demonstrate that the efficiency,stability,and quality of MAET can be substantially enhanced through electrically controlled cyclic excitation and synchronous detection,thereby eliminating the need for mechanical activities.By integrating MAET with ultrasonic CT,a novel dual-modality imaging strategy that leverages both electrical and acoustic impedances can be further advanced.
基金supported by the Hubei Provincial Natural Science Foundation(Grant No.2023AFB873)the National Natural Science Foun-dation of China(Grant Nos.12505006,11975172,122611-31495,and 12381240286).
摘要By simultaneously introducing a finite-difference-based numerical loss term and a clustering-reconstruction mechanism,we propose an enhanced physics-informed neural network named the informed reconstruction-oriented numerical network(IRON-Net)and subsequently apply it to the Manakov equations-a well-known two-component nonlinear physical model.Numerical experiments are conducted on a dataset containing eight analytical solu-tions with noise.The results indicate that,compared to conventional PINNs and other mainstream algorithms,IRON-Net demonstrates significant advantages in training accuracy,convergence rate,and robustness,achiev-ing a stepwise improvement in the neural network’s ability to enforce physical constraints.Additional ablation experiments further confirm the necessity of the consistency constraint within IRON-Net.This study provides an effective approach for modeling and parameter identification in complex nonlinear optical systems as well as other nonlinear physical scenarios.
基金financially supported by startup funds from Zhengzhou University of Light Industry(ZZULI)funds from Henan Province Science and Technology Key Project(Grant Nos.252102241028,252102321042,and 242102231037)+1 种基金the National Natural Science Foundation of China(Grant No.22578097)the Science and Technology Research Key Project of Education Department of Henan Province(Grant No.24A430049)。
摘要The realization of bifunctional perovskite devices integrating photovoltaic(PV)and light-emitting diode(LED)capabilities requires precisely controlled grain architectures to facilitate dual carrier transport pathways.In this work,sulfaguanidine(SG)molecules were introduced into the perovskite solution to reconstruct the crystallization kinetics and further form vertically oriented single-layer grains in FAPbI3 films.The guanidinium group(-NH-C(=NH)-NH2-)and the sulfonamide group(-SO2-NH-)synergistically create continuous carrier channels:The former bridges adjacent grains through Pb2+coordination,whereas the latter establishes hydrogen-bonding networks with FA+cations.This through-thickness transport structure simultaneously enhances out-of-plane charge transport and enables bidirectional functionality,resulting in an increase of approximately one order of magnitude in the carrier mobility.Consequently,the external quantum efficiency(EQE)of the device increased from 14.4%to 25.8%,with a record-ultralow turn-on voltage of 1.10 V and<20%EQE roll-off at a current of 500 mA cm-2,while maintaining 12.58%PV efficiency.This work establishes through-thickness transport structure engineering as a critical strategy for developing monolithic optoelectronic systems.
基金supported by the Foundation of Guangxi Innovation Driven Development Project Grant(AA22068080)the Science and Technology Plan of Guangxi(No.ZY22096019,ZY20220101)+1 种基金the National Natural Science Foundation of China(No.52474431)the Research Plan of International Collaboration Fund for Creative Research Teams(ICFCRT)of NSFC(No.W2441008)。
摘要Inhibiting dendrites formation and side-reactions is a critical challenge for practical application of aqueous Zn-ion batteries(AZIBs).Electrolyte additives offer an effective solution to address this problem.Inspired by using green corrosion inhibitor for metals,we introduce caffeine,extracted from tea-leaf,as an additive to achieve stable AZIBs.Caffeine,with its N and O containing groups,strongly adsorbs on the Zn anode and Zn2+ions.This featured adsorption induces the replacement of water molecules from electric double layer(EDL)and solvation shell,suppressing side-reactions such as corrosion and hydrogen evolution reaction(HER).Moreover,the selective adsorption and steric hindrance of caffeine promote Zn(002)-oriented deposition,resulting in uniform and compact zinc deposits at both low and high current density and areal capacity.Due to the significantly suppressed dendrites and corrosion,the Coulomb Efficiency(CE)reaches 99.24%after 800 cycles,and the Zn||MnO2battery shows a specific capacity of 167.2 mAh g−1with 81%capacity retention after 1000 cycles at 2 A g−1.
基金supported by the National Natural Science Foundation of China(Grant Nos.52375348 and 52175331)the Natural Science Foundation of Shandong Province,China(Grant Nos.ZR2020ZD04 and ZR2022ME014).
摘要Flexible transparent antennas(FTAs)are widely used in wireless transmission fields,and their technological iterations are accelerating.However,the high losses caused by materials and structures limit the development of FTAs with both high light transmission and high gain,and the rapid iteration rate demands greater process flexibility,which makes it difficult for existing technologies to achieve both demands.Here,we design a novel shell-core structure composite metal mesh(CMM)FTA to achieve extremely low skin depth loss and ohmic loss using skin effect and report a novel hybrid additive manufacturing method based on electric field oriented deposition to achieve efficient and flexible manufacturing of the unique Ag/Cu core-shell structure CMM FTA.The typical sample has a light transmittance of 80%(including substrate)when the sheet resistance is 0.29Ω·sq-1,and has excellent bending and torsion resistance.The peak gain in the working band is as high as 5.22 dB,and the efficiency is 80%,which is close to the performance of the opaque Cu patch antenna.It also realizes smooth and stable real-time wireless transmission under bending and long-distance conditions.This method addresses the shortcomings of FTAs,namely their high cost,low manufacturing efficiency,and low performance,especially in the rapid iterative development of antennas.
摘要Objective To explore the application effect of goal-oriented refined nursing in the perioperative period of patients with thoracic aortic dissection aneurysm. Methods A total of 40 patients with thoracic aortic dissection aneurysm who received surgical treatment in our hospital from December 2020 to December 2025 were selected as research subjects. They were divided into control group and observation group according to different perioperative nursing methods, with 20 cases in each group. The control group received routine perioperative nursing, while the observation group adopted goal-oriented refined nursing on the basis of routine nursing. The two groups were compared in terms of perioperative blood pressure and heart rate control, NRS pain score, SAS and SDS scores, QoR-15 postoperative recovery quality score, Barthel index, incidence of postoperative complications and clinical recovery indicators. Results The blood pressure compliance rate within 72 hours after operation in the observation group was higher than that in the control group, and the fluctuation ranges of systolic blood pressure, diastolic blood pressure and heart rate were lower than those in the control group (P<0.05). Before discharge, the SAS and SDS scores of the observation group were lower, and the Barthel index was higher than those of the control group (P<0.05). The incidence of postoperative complications in the observation group was lower, and the duration of mechanical ventilation, ICU stay, time to first ambulation and hospital stay were shorter than those in the control group (P<0.05). Conclusion Goal-oriented refined nursing can improve the perioperative hemodynamic management of patients with thoracic aortic dissection aneurysm, relieve pain and negative emotions, enhance postoperative recovery quality, reduce the risk of complications, and promote postoperative rehabilitation of patients.
基金supported by the Hong Kong Research Grants Council(No.CityU 11201522).
摘要The evolution of energy storage technology has seen remarkable progress,with a shift from pure metals to sophisticated,tailor-made active materials.The synthesis of nanostructures with exceptional properties is crucial in the advancement of electrode materials.In this regard,our study highlights the fabrication of a novel,oriented heterostructure comprised of Zn-Mn-Co-telluride grown on a pre-oxidized copper mesh using a hydrothermal method followed by a solvothermal process.This innovative approach leads to the formation of the Zn-Mn-Cotelluride@CuO@Cu heterostructure,which demonstrates the unique oriented morphology.It outperforms both Zn-Mn-Co-telluride@Cu and CuO@Cu by exhibiting lower electrical resistivity,increased redox activity,higher specific capacity,and improved ion diffusion characteristics.The conductivity enhancements of the heterostructure are corroborated by density functional theory(DFT)calculations.When utilized in a hybrid supercapacitor(HSC)alongside activated carbon(AC)electrodes,the Zn-Mn-Co-telluride@CuO@Cu heterostructurebased HSC achieves an energy density of 75.7 Wh kg-1.Such findings underscore the potential of these novel electrode materials to significantly impact the design of next-generation supercapacitor devices.
基金supported by National Natural Science Foundation of China(52250010,52050128,52201242)the Natural Science Foundation of Jiangsu Province(BK20230086 and BK20240179).
摘要Cement occupies a significant proportion in construction,serving as the primary material for components such as bricks and walls.However,its role is largely limited to load-bearing functions,with little exploration of additional applications.Simultaneously,buildings remain a major contributor to global energy consumption,accounting for 40%of total energy use.Here,we for the first time endow cement with energy storage functionality by developing cement-based solid-state energy storage wallboards(CSESWs),which can utilize the ample idle surface areas of building walls to seamlessly store renewable energy from distributed photovoltaics without compromising building safety or requiring additional space.Owing to unprecedented microstructures and composition interactions,these CSESWs not only achieve a superionic conductivity of 101.1 mS cm−1but also demonstrate multifunctionality,such as significant toughness,thermal insulation,lightweight,and adhesion.When integrated with asymmetrical electrodes,the CSESWs exhibit a remarkable capacitance(2778.9 mF cm−2)and high areal energy density(10.8 mWhcm−2).Moreover,existing residential buildings renovated with our CSESWs can supply 98%of daily electricity needs,demonstrating their outstanding potential for realizing zero-carbon buildings.This study pioneers the use of cement in energy storage,providing a scalable and cost-effective pathway for sustainable construction.
基金supported by Hainan Provincial Natural Science Foundation of China(Grant No.324QN192)the Agricultural Science and Technology Innovation Program(ASTIP)(Grant No.1610212024002)Yunnan Key Laboratory of Tea Germplasm Conservation and Utilization in the Lancang River Basin(Grant No.202449CE340010).
摘要Tea plant(Camellia sinensis)exhibits remarkable metabolic diversity in their specialized secondary metabolites,such as catechins,theanine,caffeine,and volatile compounds,defining both ecological adaptability and therapeutic value.Environmental factors and phytohormonal regulation are proven as critical modulators of secondary metabolism,with certain signaling pathways coordinating stress-responsive metabolite production through transcriptional and post-transcriptional mechanisms.The development of chromosome-scale genome assemblies,pangenome,and 3D chromatin map resources has revealed extensive genomic variations that lead to metabolic distinctions.While metabolomics approaches including nuclear magnetic resonance,mass spectrometry,and emerging ion mobility techniques have enabled comprehensive profiling of flavor-related compounds,challenges persist in linking metabolic signatures to genetic determinants across diverse germplasms.Population genomics studies through metabolic genome-wide association have identified key quantitative trait loci and allelic variants governing metabolite accumulation.This review integrates recent metabolomic and genomic advancements to construct a roadmap for harnessing tea's functional metabolite diversity through germplasm resources,elucidating the biochemical and genetic foundations of quality traits to advance precision breeding applications.
摘要Grain-oriented silicon steels were prepared at different heating rates during high temperature annealing,in which the evolution of magnetic properties,grain orientations and precipitates were studied.To illustrate the Zener factor,the diameter and number density of precipitates of interrupted testing samples were statistically calculated.The effect of precipitate ripening on the Goss texture and magnetic property was investigated.Data indicated that the trend of Zener factor was similar under different heating rates,first increasing and then decreasing,and that the precipitate maturing was greatly inhibited as the heating rate increased.Secondary recrystallization was developed at the temperature of 1010℃when a heating rate of 5℃/h was used,resulting in Goss,Brass and{110}oriented grains growing abnormally and a magnetic induction intensity of 1.90T.Furthermore,increasing the heating rate to 20℃/h would inhibit the development of undesirable oriented grains and obtain a sharp Goss texture.However,when the heating rate was extremely fast,such as 40℃/h,poor secondary recrystallization was developed with many island grains,corresponding to a decrease in magnetic induction intensity to 1.87 T.At a suitable heating rate of 20℃/h,the sharpest Goss texture and the highest magnetic induction of 1.94 T with an onset secondary recrystallization temperature of 1020℃were found among the experimental variables in this study.The heating rate affected the initial temperature of secondary recrystallization by controlling the maturation of precipitates,leading to the deviation and dispersion of Goss texture,thereby reducing the magnetic properties.
基金supported by the Key Research and Development Program of Shaanxi Province(2024GX-YBXM-010).
摘要Detecting oriented targets in remote sensing images amidst complex and heterogeneous backgrounds remains a formidable challenge in the field of object detection.Current frameworks for oriented detection modules are constrained by intrinsic limitations,including excessive computational and memory overheads,discrepancies between predefined anchors and ground truth bounding boxes,intricate training processes,and feature alignment inconsistencies.To overcome these challenges,we present ASL-OOD(Angle-based SIOU Loss for Oriented Object Detection),a novel,efficient,and robust one-stage framework tailored for oriented object detection.The ASL-OOD framework comprises three core components:the Transformer-based Backbone(TB),the Transformer-based Neck(TN),and the Angle-SIOU(Scylla Intersection over Union)based Decoupled Head(ASDH).By leveraging the Swin Transformer,the TB and TN modules offer several key advantages,such as the capacity to model long-range dependencies,preserve high-resolution feature representations,seamlessly integrate multi-scale features,and enhance parameter efficiency.These improvements empower the model to accurately detect objects across varying scales.The ASDH module further enhances detection performance by incorporating angle-aware optimization based on SIOU,ensuring precise angular consistency and bounding box coherence.This approach effectively harmonizes shape loss and distance loss during the optimization process,thereby significantly boosting detection accuracy.Comprehensive evaluations and ablation studies on standard benchmark datasets such as DOTA with an mAP(mean Average Precision)of 80.16 percent,HRSC2016 with an mAP of 91.07 percent,MAR20 with an mAP of 85.45 percent,and UAVDT with an mAP of 39.7 percent demonstrate the clear superiority of ASL-OOD over state-of-the-art oriented object detection models.These findings underscore the model’s efficacy as an advanced solution for challenging remote sensing object detection tasks.
基金Major Scientific Research Projects of China Railway Group(No.K2019G046)the National Key Research and Devel-opment Program of China(No.2020YFB1600700).
摘要Rail positioning is a critical step for detecting rail defects downstream.However,existing orientation-based detectors struggle to effectively manage rails with arbitrary inclinations and high aspect ratios,particularly in turnout sections.To address these challenges,a fuzzy boundary guidance and oriented Gaussian function-based anchor-free network termed the rail positioning network(RP-Net)is proposed for rail positioning in turnout sections.First,an oriented Gaussian function-based label generation strategy is introduced.This strategy produces smoother and more accu-rate label values by accounting for the specific aspect ratios and orientations of the rails.Second,a fuzzy boundary learning module is developed to enhance the network’s abil-ity to model the rail boundary regions effectively.Further-more,a boundary guidance module is developed to direct the network in fusing the features obtained from the downs-ampled network output with the boundary region features,which have been enhanced to contain more refined posi-tional and structural information.A local channel attention mechanism is integrated into this module to identify critical channels.Finally,experiments conducted on the tracking dataset show that the proposed RP-Net achieves high posi-tioning accuracy and demonstrates strong adaptability in complex scenarios.
基金the funding from the National Key Research and Development Program of China(No.2022YFB3804802)the National Natural Science Foundation of China(22125801,22478012)Beijing Natural Science Foundation(Z230023)。
摘要Extracting ethanol from aqueous solutions is important but challenging in industry.Pervaporation membranes show great promise for separating ethanol from water,with the design of their structure being crucial for enhancing performance.In this study,we developed an oriented bimetallic metal-organic framework(MOF)membrane,designated as ZIF-CoZn,for the pervaporation separation of ethanol from water.During crystal growth,bimetallic salts provide specific nucleation sites,and the competitive coordination between Co and Zn ions shifts the energetically favorable(100)plane to the(211)plane.This orientation enables precise molecular-level control over hydrophobic ligand arrangement,effectively repelling water molecules.Meanwhile,bimetallic competition enlarges pore sizes,facilitating ethanol permeation.When compared to single-metal MOF membranes made of cobalt or zinc,the separation factor of the ZIF-CoZn membrane for ethanol/water mixtures increased by 127%and 160%,respectively.Benefiting from the high roughness and increased exposure of hydrophobic ligands due to the preferential(211)orientation,ZIF-CoZn exhibits superhydrophobicity after vinyl-polydimethylsiloxane coating.The oriented ZIF-CoZn membrane was also scaled up to an area of 1 m2.This work provides valuable insights into optimizing MOF membrane structure and lays the foundation for its promotion and application in the industry.
基金the support provided by the“New 20 Regulations for Universities”funding program of Jinan(202228089)the TaiS han Industrial Experts Programme(tscx202312128)。
摘要In recent years,service computing has been widely integrated into software development.Web service development,especially under the RESTful schema,needs to guide students in transferring from object-oriented to resource-oriented architectural thinking and cultivating students’literacy in design thinking,design patterns,and development methods.This paper introduces the foundations of service thinking with a brief review of service sciences,the core features of service thinking,and how to train service thinking of students.It also introduces a case study in Shandong University in the construction of a service computing curriculum system,especially how to highlight the cultivation of service thinking in the design of service software system.
摘要Chinese consumers browsing e-commerce platforms or walking in supermarket aisles have noticed a new feature:dedicated sections for high-quality export products.Far from being a mere marketing gimmick,this trend emerged due to intense pressure from a slide in global demand.
基金Research on the Path of Digital Empowerment for the Construction of Ideological and Political Education in Foreign Language Courses in Application-Oriented Undergraduate Universities(Project No.:cqgj23173C)Key University-Level Teaching Reform Project of 2024 of Chongqing Yitong University,“Exploration and Practice of the AVIVA Teaching Model in German Courses of Application-Oriented Universities from the Perspective of Ideological and Political Education in Courses”(Project No.:24JG209)。
摘要Ideological and political education in courses is an important task of higher education in the new era.As a crucial part of higher education,foreign language teaching needs to actively explore effective integration with ideological and political education in courses.The AVIVA teaching model,a student-centered teaching model,provides new ideas for foreign language teaching.Based on an analysis of the current situation of foreign language courses in application-oriented universities,this article discusses the application strategies of the AVIVA teaching model from the perspective of ideological and political education in courses.Through specific teaching practice cases,it demonstrates the effectiveness of this model in improving students’foreign language proficiency and ideological and political literacy,providing a reference for the reform of foreign language teaching in application-oriented universities.