Abstract:To investigate the effects of alkali activator modulus and polypropylene fiber content on the flexural and fracture properties of geopolymer concrete,high-strength geopolymer concrete was prepared using alkali activators with moduli of 1.1,1.3,1.5,and 1.7.Based on the system with a modulus of 1.3,a series of fiber-reinforced specimens were prepared by incorporating polypropylene fibers with volume fractions of 0.2%,0.4%,0.6%,and 0.8%.Through four-point bending tests and three-point fracture tests,the peak load,peak deflection,flexural toughness ratio,and multiple fracture parameters of the speciments were systematically measured.The results indicate that as the alkali activator modulus increases,the peak load,peak deflection,and flexural toughness ratio of geopolymer concrete initially increase and then decrease,reaching optimal values at a modulus of 1.3.The incorporation of polypropylene fibers significantly enhances the flexural deformation and fracture properties of the concrete.At a fiber content of 0.8%,the specimen achieved a maximum peak load of 22.92 kN,a peak deflection of 1.32 mm,and a flexural toughness ratio of 0.36.The critical crack opening displacement,fracture energy,and fracture toughness are increased by 31.82%,251.83%,and 15.80%respectively,compared with the non-fiber group.Therefore,the combination of an alkali activator modulus of 1.3 and a polypropylene fiber content of 0.8%is identified as the optimal one,synergistically improving the flexural and fracture properties of geopolymer concrete.

Abstract:Copper sulfide nanoparticles exhibit good photothermal conversion properties under near-infrared light irradiation.However,their limited direct binding capability with bacteria restricts their photothermal antibacterial efficiency.A novel composite nanomaterial was constructed by co-immobilizing polymyxin B and bacitracin onto the surface of copper sulfide nanoparticles via an in-situ modification method.The prepared composite nanomaterial was characterized using ultraviolet-visible spectroscopy,infrared spectroscopy and transmission electron microscopy.The antibacterial nanocomposite has good photothermal conversion performance and recyclability under near-infrared light irradiation.In addition,antibacterial experiments showed that the nanocomposite could effectively inhibit the growth of Staphylococcus aureus and Pseudomonas aeruginosa under 808 nm light irradiation.This new type of antibacterial material combines the innate antibacterial properties of antimicrobial peptides and the photothermal antibacterial characteristics of copper sulfide,which has a high antibacterial activity against both Gram-negative and Gram-positive bacteria.Therefore,the material has potential application value in the biomedical field.

Abstract:In the process of digitalization,derivative data,as a high-value information carrier formed by substantive processing of raw data,has become a core element driving innovative development in multiple fields.The process of generating derivative data involves many subjects and diverse interests,and the disputes arising therefrom are also increasing day by day.Although domestic and international theories and judicial practices have explored the legal protection of derivative data,there is still no unified understanding of the connotation of derivative data and the distribution of rights.At present,the protection of derivative data in China is confronted with several predicaments,including insufficient applicability of the traditional intellectual property system,inappropriate protection paths for trade secrets,and conflicts between the norms of data property and intellectual property rights.In response to the practical challenges in the judicial protection of derivative data in China and in alignment with its developmental trajectory,it is imperative to legally establish a"usufruct of derivative data"to balance the interests of all parties.Concurrently,a registration system for derivative data ownership and an anonymization certification system to consolidate the bottom line should be established.Furthermore,the"substantial substitution"rule shall be introduced into the determination of derivative data infringement to clarify the criteria for such adjudication.Through the coordinated advancement of these mechanisms,a robust legal can safeguard will be constructed,fostering the regulated circulation and value realization of derivative data.

Abstract:Graphene oxide and various ZnO precursors(nano-ZnO,Zn(OH)2,Zn2(OH)2CO3)powders were used as raw materials to prepare ZnO/reduced graphene oxide composites through low-temperature heat treatment.The influence of different ZnO precursors on the phase composition,morphology,and photocatalytic performance of the resultant products was studied.The research results showed that graphene oxide underwent a reduction reaction during heating,primarily occurring within the temperature range of approximately 140～220℃.After heat treatment at 250℃for 2 h,graphene oxide was reduced to reduced graphene oxide.Using different ZnO precursors and graphene oxide powders,ZnO/reduced graphene oxide composites can be prepared through low-temperature heat treatment.Composites prepared using different ZnO precursors exhibited significant differences in their micromorphology,light absorption capacity,and photocatalytic performance.UV-Vis diffuse reflectance spectroscopy analysis indicated that the composites prepared using Zn(OH)2 and Zn2(OH)2CO3 as precursors demonstrated stronger absorption of both ultraviolet and visible light compared to those using nano-ZnO directly as the precursor.In the photocatalytic degradation of methylene blue,the time required for complete degradation by the ZnO/reduced graphene oxide composites prepared using nano-ZnO,Zn(OH)2,and Zn2(OH)2CO3 as precursors was 34,24,and 90 minutes,respectively.In contrast,pure nano-ZnO required 150 minutes.These results demonstrate that the ZnO/reduced graphene oxide composites can significantly enhance photocatalytic performance.

Abstract:Trend prediction of fashion colors plays a crucial role in the field of fashion design.However,traditional prediction methods mainly rely on existing fashion colors,often resulting in low prediction accuracy and lagging update cycles.To improve the real-time performance and reliability of prediction,an image dataset was constructed using popular clothing data released by mainstream fashion websites from January 2023 to January 2025.Image color extraction technology was employed to establish a fashion color database,and a fashion color prediction model was built based on the BP neural network optimized by the particle swarm optimization algorithm.The mean absolute error(MAE)index was used to validate the model,and the fashion color trends from February to June 2025 were predicted.Experimental results demonstrate that the PSO-BP neural network significantly outperforms the traditional BP neural network in fashion color prediction,markedly improving accuracy.The predicted results exhibit high consistency with the actual application of clothing colors.

Abstract:Accounting data has the characteristic of discretization of continuous variables.In the case of concept drift,it is difficult to capture the interaction effects of nonlinear continuous variables in the data,which reduces the accuracy of data classification.To address this,an automatic classification method for accounting data results based on decision trees is proposed.Obtain the statistical probability density feature quantities of the accounting data set,capture the local features of the data,and achieve the discretization processing of continuous variables.The discretization results of continuous variables are fuzzified.A decision tree is constructed by using the maximum gain of fuzzy information to capture the nonlinear relationships and interaction effects among variables.The classification results of multiple decision trees are integrated to reduce the deviation of a single decision tree and achieve the automatic classification of accounting data results.The experimental results show that the proposed method can process accounting data with high precision and accurately depict the nonlinear relationships therein.It meets the real-time requirements and can provide timely and reliable data support for financial decision-making.

Abstract:In recent years,the electronic competitions of university students begin to march from the intelligent vehicles to the unmanned aerial vehicles(UAVs),such as UAV path following and target tracking.Focusing on the four-axis UAV automatic tracking system in university student electronic competitions,an intelligent flight control system based on STM32 as the main controller has been independently designed.This system integrates artificial intelligence(AI)technology into UAV control,adopts the OpenMV camera for visual recognition,and sets the target color threshold in the vehicle LAB color space through Python programming to achieve accurate identification and autonomous tracking of objects with specific colors.Endowed with the unique advantage of three-dimensional space,unmanned aerial vehicle(UAV)systems not only provide diverse innovative entry points and high-value technical challenge scenarios for college student electronic competitions,but also serve as an important technical support for the field of automatic search and rescue.

Abstract:The low-altitude economy is an emerging economic form based on low-altitude airspace and an important manifestation of new quality productive forces,playing a key role in promoting high-quality regional economic development.As China's first national-level aviation hub economic pilot zone approved by the State Council,the Zhengzhou Airport Economic Comprehensive Experimental Zone holds a prominent position in the national strategic layout for the development of the low-altitude economy.Currently,the experimental zone possesses a preliminary foundation and advantages for advancing the high-quality development of the low-altitude economy.However,it still faces shortcomings in areas such as low-altitude equipment,infrastructure,management support,and application scenarios.To systematically advance the high-quality development of the low-altitude economy in the experimental zone,it is essential to strengthen technological research and development to break through key components and core technologies;enhance policy guidance to promote the transformation of innovative achievements;improve infrastructure to solidify operational support systems;optimize airspace management to enhance low-altitude operational efficiency;establish sound mechanisms for talent cultivation and introduction to lay a solid foundation for long-term development;and actively expand diverse application scenarios to foster market development space.

Abstract:As the third generation of solar cell technology,organic solar cells(OSCs)have been developing rapidly in recent years.The quinoxaline(Qx)unit,with the typical deep highest occupied molecular orbital(HOMO)level and good planarity,has become one of the important acceptor units for constructing organic photovoltaic materials.Currently,the power conversion efficiency(PCE)of Qx-based OSCs has exceeded 19%and exhibited excellent long-term stability.This paper summarizes the molecular design concept for constructing OSCs donor materials and acceptor materials based on Qx,as well as representative research progress in recent years.In particular,the relationship between the high PCE,stability,and structure of Qx-based organic photovoltaic materials is discussed,which provides a reference for a deeper understanding of the role of quinoxaline-based acceptor units in enhancing the performance of organic photovoltaic materials.

Abstract:To address the insufficient search capability of the Polar Lights Optimizer(PLO)algorithm during the later stage of unmanned aerial vehicle(UAV)path planning,an improved algorithm PLO-CHV incorporating a horizontal-vertical crossover strategy is proposed.This algorithm enhances population diversity by promoting genetic recombination among individuals within the same generation through a horizontal crossover mechanism.Together with a vertical crossover mechanism,it enables cross-generational information fusion between historical optima and current individuals,thereby strengthening local search capability and achieving a balanced trade-off between global exploration and local exploitation.Simulation results demonstrate that compared to the standard PLO algorithm,the improved PLO-CHV algorithm reduces the fitness value by 89.33%in a 3D gridded environment,while decreasing the average flight altitude and path length by 6.55%and 26.79%respectively.The proposed algorithm outperforms comparison algorithms such as GA and SOGWO in convergence speed,path length and altitude.

Abstract:To address the issue of insufficient adaptability to preceding vehicle spacing in traditional Adaptive Cruise Control(ACC)systems under following scenarios,an optimized control strategy based on fuzzy logic dynamic weight adjustment is proposed.By adopting a model predictive control integrated with a feedback correction mechanism,a multi-objective optimization function encompassing following performance,safety,and fuel economy is constructed.The weight coefficients are dynamically adjusted using fuzzy logic,enabling the ACC vehicle system to adaptively balance each control objective according to real-time driving conditions.To validate the control effectiveness,a CarSim-Simulink co-simulation platform is developed,testing typical scenarios such as constant speed,sinusoidal variable speed,and stop-and-go conditions of the preceding vehicle.Simulation results demonstrate that the proposed method effectively maintains a safe following distance,and ensures smooth transitions of weight coefficients,significantly enhancing the robustness of ACC in following scenarios.

Abstract:To investigate the effect of the forming structure of carbon honeycomb composites on their compression performance,carbon honeycomb composites with the same geometric dimensions and three different forming structures(1D unidirectional layering,2D fabric layering,and 3D woven integrated forming structure)were prepared.Compression performance tests were conducted to compare and analyze the compression resistance of the three types of composites.The results reveal that the out-of-plane compression strengths of all three composites have little difference and all are much higher than the in-plane compression strengths(approximately 10 times or more).However,significant variations are observed in their in-plane compression performance.The unidirectional one-dimensional honeycomb composite exhibited 40%and 36%respectively higher compression strength in the in-plane X-direction compared to that of the two-dimensional and three dimensional composites.In the in-plane Y-direction,the three-dimensional woven composite demonstrates superior performance,with compression strength 20%and 39%respectively greater than that of the unidirectional and two-dimensional composites.Moreover,due to the effect of the interlayer binding yarns,interlayer cracking damage can be effectively inhibited.The study indicates that the 3D woven integrated forming structure plays a positive role in improving the compression resistance of honeycomb composites.

Abstract:Long text clustering faces the challenge of difficult semantic representation.In order to meet this challenge and improve the performance of text clustering,this paper proposes a long text clustering model based on contrastive learning optimization(CLSSK).This model constructs a contrastive learning framework,embeds the SBERT pre-trained model improved by secondary pooling as a long text encoder,introduces the NT-Xent loss function to optimize the parameters of the long text encoder model,uses the optimized encoder to represent the long text,and finally inputs the obtained long text feature vector into the K-Means++algorithm for clustering analysis.The long text clustering experimental results show that the proposed model is better than the contrast model and the ablation variants.Therefore,the proposed model and its design modules have proven to be effective.

Abstract:As a typical representative of traditional Chinese folk handicrafts,the artistic form of the cloth tiger profoundly reflects the regional cultural characteristics and aesthetic cognitive orientation.The folk cloth tigers in the Yellow River Basin have profound cultural background and folk custom foundation,serving the dual functions of warding off evil spirits and disasters as well as praying for good fortune and blessings.Their decorative art features present diverse forms of expression in different regions.The folk cloth tigers of Shandong,Henan,Shaanxi,and Shanxi exhibit distinct characteristics in terms of decorative themes,modeling arts,pattern composition,color matching,and production techniques.The formation of their decorative art is intrinsically linked to their geographical environments and regional cultures.Under the background of digital transformation,in order to achieve the dynamic inheritance and sustainable development of the folk cloth tiger decorative art in the Yellow River Basin,it is necessary to establish a cross-regional collaborative mechanism to promote the overall development of the folk cloth tiger decorative art in the Yellow River Basin;rely on digital technology means to reconstruct the protection and dissemination system of folk cloth tiger decorative art in the Yellow River Basin;build digital ecological scenarios to innovate the experience and display mode of folk cloth tiger decorative art in the Yellow River Basin;and promote cross-disciplinary integration and innovation to stimulate new vitality in the creation of the folk cloth tiger decorative art in the Yellow River Basin.

Abstract:Henan is a major province in traditional materials and new materials have developed rapidly in recent years.There are obvious advantages in the fields of non-ferrous metals,superhard materials,new building materials,and refractory materials.Some industries,such as superhard materials and nylon chemical new materials,have prominent agglomeration effects and distinctive features.Currently,Henan province has continuously strengthened its policy support for the new materials industry,reaching a historical high point.The innovation capability of enterprises has been significantly improved.The total scale of material-related human resources is constantly increasing.The raw material resources required for new material manufacturing are abundant and the original industrial foundation is relatively solid.But it should be recognized that the innovative subject status of enterprises needs to be further strengthened.The financing channels for enterprise innovation are limited and the substantive cooperation between industry,academia and research also needs to be strengthened.To accelerate the high-quality development of the new materials industry in Henan province,the following suggestions are proposed:to deepen the integration of production and education,and strive for breakthroughs in material applications;to establish seed funds for new materials and establish a stable and continuous medium-to-long-term investment mechanism;to further increase financial support for innovative enterprises and optimize the funding and management mode of technology projects;to promote the construction of academic exchange platforms;to attach importance to and cultivate various technical talents;to strengthen theoretical research on implementing the development plan for the new materials industry,and scientifically formulate and implement project goals.

Abstract:For grid-connected inverters adopting droop control in low-voltage microgrids,due to the effects of the droop control characteristics and the virtual inductors,when the grid frequency decreases,the power factor of the system output will drop and the inrush current will be relatively large.To address this issue,the reasons for the fluctuation of reactive power output with the changes of grid frequency are firstly explained through theoretical analysis.An improved droop strategy based on comprehensive compensation is proposed.The improved droop control can dynamically adjust the amplitude and phase of the output voltage of the inverter,which not only improves the power factor of the system output but also further reduces the impact current when the grid frequency drops.Then,the stability of the improved droop control based on comprehensive compensation is analyzed by establishing the small-signal model of the grid-connected inverter.Finally,through simulation and experimental analysis,it is verified that the proposed improved droop control based on comprehensive compensation can effectively suppress the increase of output impulse current and the decrease of power factor when the grid frequency fluctuates,further improving the efficiency of the system and reducing the system loss.When droop control is used in low-voltage microgrids,due to the droop control characteristics and virtual inductance,when the grid-connected inverter decreases in the grid frequency,the power factor of the system output is reduced and the inrush current is large.In order to solve this problem,firstly,the reason for the fluctuation of the reactive power output of the system with the change of grid frequency is expounded through theoretical analysis,and an improved comprehensive compensation droop control strategy is proposed,which can dynamically adjust the amplitude and phase of the output voltage of the inverter,and further reduce the inrush current of the system when the grid frequency decreases while increasing the output power factor of the system.The stability analysis was carried out by establishing a small signal model of the grid-connected inverter.Finally,through simulation and experimental analysis,it is verified that the proposed improved droop control can effectively suppress the problem of increasing the output impulse current and decreasing the power factor when the frequency fluctuation of the grid frequency occurs.

Abstract:With the widespread deployment of distributed new energy sources such as wind power and photovoltaics in the distribution network,the increasing penetration rate poses stability challenges.The unpredictable and fluctuating output of these sources affects the reliable operation of the distribution network,limiting the utilization of new energy.Accurately evaluating the hosting capacity of the distribution network for distributed new energy is crucial.By exploring relevant evaluation methods and analyzing the impact of large-scale integration of new energy,a quantitative evaluation index system covering the target,criterion,and indicator layers is constructed.Evaluation indicators are established from three dimensions:power quality,power supply capacity,and economic efficiency.The analytic hierarchy process is used to assign weights to the indicators,and a comprehensive score for system stability is calculated.Based on the IEEE 33-bus system simulation,the effectiveness of the evaluation method has been verified,providing a reference for the large-scale integration of distributed new energy.

Abstract:To study the construction mechanical characteristics and control technology of rhombic hanging baskets during the cantilever pouring process of long-span prestressed concrete continuous beam bridges in complex mountainous environments,this paper takes the Huluba Special Bridge Project of the 9th bid section in the Kangyu section of the Xi'an-Chongqing High-Speed Railway as the engineering background.Midas-Civil is used to establish a finite element model of the rhombic hanging basket during the cantilever pouring construction stage.The stress distribution,deformation behavior,and overall anti-overturning stability of the key parts of the hanging basket are analyzed,and the corresponding hanging basket control technology is proposed and applied to the actual project.The results showed that:The maximum displacement of the main truss of the hanging basket structure is 16.646 mm,which appears at the front top of the main truss;the maximum combined stress of the main truss is 158.2 MPa,occurring in the middle of the front upper inclined member;the maximum combined stress and shear stress of the front upper crossbeam are 129.2 MPa and 62.9 MPa,respectively,both appearing at the junction of the front upper crossbeam with the main truss;the maximum deformation of the front upper crossbeam is 3.321 mm,located at both ends;the anti-overturning safety factor of the hanging basket is greater than 2,meeting the requirements of construction specifications;the hanging basket control technolog could achieve precise control of the bridge alignment in practical application.It can be concluded that the rhombic hanging basket structure is sound in design and fulfills all construction requirements;the proposed corresponding control technology is feasible,providing a valuable reference for similar engineering construction.

Abstract:To address the limitation that inseparable wavelets decomposition fails to maximise high-frequency feature extraction in images,an infrared-visible light image fusion algorithm based on ResNet50 and inseparable wavelets is proposed.Firstly,infrared and visible light images are decomposed into low-frequency and high-frequency components using four-channel inseparable wavelets.Secondly,low-frequency subband images are fused via Delaunay interpolation and the maximum symmetric surrounding saliency method.Subsequently,the ResNet50 network extracts features from the high-frequency detail layer.The resulting feature map undergoes L1 regularisation,with a weight map generated via a maximum selection strategy to reconstruct a new high-frequency detail layer.Finally,the new reconstructed low-frequency and high-frequency images are combined to produce the fused image.By decomposing and reconstructing both frequency domains,this algorithm effectively preserves the source image's structural and detail information.The achieved fused image demonstrates satisfactory performance across both subjective and objective evaluation metrics.

Abstract:Understanding the distribution characteristics and influencing factors of residual stress in laser cladding layers is essential for optimizing cladding processes and improving the reliability and performance of coated components.The research status of residual stress in laser cladding layers is reviewed from two aspects of experimental measurement and numerical simulation.In terms of experimental measurement,the basic principles of drilling method,X-ray diffraction method and neutron diffraction method and their application in the measurement of residual stress in laser cladding layers are described,and the advantages and limitations of these methods are analyzed.In the aspect of numerical simulation,the research progress in numerical simulation of residual stress in laser cladding in recent years is reviewed,and the numerical simulation results of the effects of different laser cladding process parameters on the residual stress of the cladding layers are compared and analyzed.Finally,the paper outlines the future development trend of future laser cladding residual stress measurement technology and numerical simulation research of laser cladding layers.