Abstract:In the current e-commerce environment,information overload makes user decision-making increasingly difficult.However,the sparse interaction between users and product copywriting,the dynamic changes in user interests,and insufficient utilization of multimodal information by traditional recommendation methods have constrained the effectiveness of recommendations and user experience.To enhance the effect of product copywriting recommendation and user satisfaction,a personalized product copywriting recommendation method based on user portraits is proposed.By integrating multidimensional data such as user basic attributes,interaction behaviors,and comment feedback,a quantitative user portrait model is constructed.The item-based collaborative filtering algorithm is used to calculate the similarity of copywriting and generate candidate recommendation sets.Based on the similarity between user portraits and copywriting feature vectors,the optimal copywriting is selected for recommendation.Experiments based on e-commerce platform data show that this method can accurately depict user characteristics,with a copywriting coverage rate of 71%to 92%and user satisfaction exceeding 90%.It effectively achieves personalized recommendation of product copywriting and has good practicality and promotional value.

Abstract:The integration of AIGC with art,design,and creativity has brought opportunities for the innovation and inheritance of intangible cultural heritage.Taking Chen's Tai Chi of Wen county as an example,this paper discusses the digital design of its combat movements from the perspective of AIGC.Firstly,it analyzes the origin and characteristics of Chen's Tai Chi of Wen county,including its historical origin,movement characteristics,and theoretical basis.It delves into the concept,characteristics,technical principles,and methods of AIGC,as well as its ability to generate Tai Chi boxing movement trajectories.Secondly,it introduces the innovative applications of AIGC in Chen's Tai Chi technology,including extraction and presentation in digital design,data collection and organization,model construction and training.Finally,it explores the design innovation value of artificial intelligence in the inheritance of Chen's Tai Chi,including the digital display and dissemination of Chen's Tai Chi combat movements,as well as the development of innovative design fields.Although the integration of artificial intelligence and Chen's Tai Chi has potential,it also needs to overcome challenges,respect the integration of traditional culture and technology,and help Chen's Tai Chi achieve innovative development and inheritance.

Abstract:Selenium is one of the essential trace elements for human beings,and the development of safe and efficient biotransformation carriers for it has important research value.In this study,based on the biosafety advantages of selenium-enriched yeast,a strain 1769(Cyberlindnera jadinii)with strong selenium-enrichment capacity was obtained through selenium tolerance and selenium-enrichment capacity screening experiments;One-way and orthogonal tests were used to optimize the fermentation process parameters,focusing on the effects of inoculum amount,sodium selenite addition fermentation time and other factors on the biomass and selenium conversion rate.The results showed that when the inoculum amount was 5%,the sodium selenite addition amount was 20µg/mL,the sodium selenite addition time was 8 h,and the fermentation time was 24 h,the strain 1769 had the best fermentation performance,with the selenium-enrichment amount of 5 395.34µg/g,the conversion rate of 93.25%,and the biomass of 3.46 g/L.This research not only provides high-quality strain resources for the development of selenium-enriched products but also establishes a system of fermentation process parameters which is of guiding significance for industrial production.

Abstract:The Neutral Point Clamped(NPC)three-level inverter has been widely used because of its advantages of high efficiency,low harmonics and low voltage stress.However,there is an imbalance in the neutral point potential of the upper and lower capacitors of NPC inverters,which will aggravate the distortion of the output current of grid-connected inverters.To solve this problem,an effective method of neutralizing potential and suppressing harmonic of output current is proposed.Firstly,the circuit topology of NPC three-level grid-connected inverter is analyzed and the mathematical model is established.Then the Space Vector Pulse Width Modulation(SVPWM)control algorithm is optimized,and the Feedforward Odd Harmonic Repetitive Control(FORC)method is proposed.Finally,a simulation experiment platform is established and verified by MATLAB/Simulink software.The experimental results show that the FORC strategy based on SVPWM midpoint potential control can effectively suppress the midpoint potential fluctuation and reduce the harmonic content of the output current.

Abstract:Filters are key components in the production process of viscose fibers.To address the detection issue of filter cloth assembly bonding in filters,a pressure drop detection technology is proposed.A mathematical model of velocity-pressure drop for filters is established based on the porous medium model and fluid pressure drop theory.Experiments validate the effectiveness of the detection technology.Experimental results indicate that fluid pressure drop detection technology is effective for detecting the bonding phenomenon of filter cloth.This technology can effectively enhance the assembly quality of viscose fiber filters,and it's helpful to promote the technological development of the viscose fiber production industry.

Abstract:Calcium carbonate are widely used in the field of multiple industries and aspects of daily life,which have great application potential.In recent years,with the support by policies and market demand,the calcium carbonate industry is rapidly evolving toward high-quality development.Calcium carbonate products have shifted from conventional ground calcium carbonate to functional calcium car-bonate and nano calcium carbonate.This paper systematically reviews the classification,origin,man-ufacturing processes,and current application status of rubber,paper making,plastics,paint,build-ing materials of calcium carbonate,while analyzing its product utilization pathways and the quality-centric optimization and upgrading of industrial development trends.The study aims to offer reference insights to support the sustainable and high-quality development of the calcium carbonate industry.

Abstract:Using titanium powder,graphite-like hexagonal carbon nitride powder and polytetraflu-oroethylene powder as raw materials,combustion synthesis was employed to induce the reaction of the powder mixture through heat treatment under varying polytetrafluoroethylene content,resulting in the combustion-synthesized products.The phases of the synthetic products were characterized by X-ray diffraction,and the results showed that when the mass fraction of polytetrafluoroethylene powder was 30％,single-phase TiNF material could be prepared.The morphology of single-phase TiNF mate-rial was analyzed by scanning electron microscopy,and the results showed that the single-phase TiNF material was composed of two types of particles:The average size of the larger particles was approxi-mately 5 μm,and that of the smaller particles was approximately 57.5 nm.By studying the reaction results of the binary system under the same heat treatment conditions,the reaction mechanism for the combustion synthesis of TiNF material in the ternary system of titanium,graphite-like hexagonal car-bon nitride and polytetrafluoroethylene was derived.

Abstract:To improve the intelligent prediction of fabric dyeing formulas,this paper adopts the re-flection spectrum color matching method,taking the spectral reflectance R(λ)of dyed fabrics as input data and the dye formulas as output data,and constructs intelligent color matching models based on the deep learning model Convolutional Neural Network(CNN)and the Convolutional Neural Network optimized by the Grey Wolf Optimizer(GWO-CNN)respectively.To comprehensively evaluate the models' performance,the coefficient of determination(R2)and the mean absolute error(MAE)be-tween predicted and actual dye formulas were selected as key metrics.The training and validation re-sults demonstrate that the GWO-CNN model achieved an R2 value of 0.991,outperforming the stan-dalone CNN model's 0.964.In predicting the concentrations of three dyes,the GWO-CNN model ex-hibited MAEs of 0.006,0.004,and 0.004 respectively,all lower than the CNN model's 0.007,0.005,and 0.004.The research results demonstrate that the application of the GWO-CNN color matching model can effectively enhance the prediction of fabric dyeing formulas.

Abstract:Driven by the"dual carbon"goals,traditional supply chains are facing challenges such as information silos and insufficient green innovation.Based on data from A-share listed companies in China's manufacturing sector,this paper constructs a"technology-driven-mechanism design-performance transformation"framework to explore the path of supply chain integration enabled by digital technology to enhance green performance.The study finds:IoT and blockchain technologies significantly enhance green performance through data sharing and process collaboration,while AI is constrained by the technical capabilities of small and medium-sized enterprises;differential privacy technology indirectly enhances green performance by balancing data sharing and privacy protection,while federated learning accelerates distributed innovation in green technologies;as policy regulation strengthens,digital technology-driven green performance is reinforced,emphasizing the importance of policy-technology synergy.

Abstract:Sparrow search algorithm(SSA)is a new optimization algorithm with the advantages of simlicity,less parameters and fast convergence speed,which has received great attention of researchers.Achievements of sparrow algorithm in recent years are reviewed around the basic principle,improvement strategy and application of sparrow search algorithm.Firstly,the principle and steps of the sparrow search algorithm are introduced,and the performance of SSA and other algorithms in solving related functions is compared and analyzed.Secondly,the improvement method of initial population,the producers updating,the scroungers updating,the vigilances updating and disturbance strategy in SSA are analyzed and classed.Thirdly,the application of SSA is classified and discussed in power operation optimization and prediction,fault diagnosis,path optimization,shop scheduling,and parameter optimization.Finally,according to the characteristics of the sparrow search algorithm and the current research status,the future research direction of SSA is prospected.

Abstract:With the rapid advancement of digital technology,the application fields of artificial intelli-gence continue to expand.In this process,generative AI,leveraging its unique advantages,is emer-ging as a key driver in promoting the digital transformation of culture.As a crucial medium for cultur-al dissemination,audiovisual archives are undergoing continuous innovation in their technological evo-lution.Research indicates that generative AI technology brings significant value enhancement and in-novative breakthroughs:Firstly,it breaks traditional service models through innovative narrative ap-proaches,offering diverse and integrated interactive experiences.Secondly,it effectively mitigates the"information cocoon"effect,enabling intelligent integration of archival information,while also greatly enriching the expressive language of visual communication.Furthermore,this study explores the new application prospects of the"AIGC+Archives"model in video production,digital processing,intelli-gent platform management,and cultural service innovation.

Abstract:To address grid load balancing and mitigate wind power curtailment,a hybrid heating sys-tem combining air source heat pumps with water-based thermal storage is proposed.A simulation model was developed using TRNSYS software.With air source heat pump power,electric boiler pow-er,and thermal storage tank capacity as decision variables,and annual worth as the optimization ob-jective,this model was applied to optimize the configuration of the hybrid heat pump heating system at a thermal energy plant in Korla city.The results demonstrate that flat electricity prices significantly impact the optimal heat storage ratio for the hybrid system.Conversely,peak electricity prices exhibit minimal influence.For the studied case,the optimal heat storage ratio for a water-based storage ther-mal electric boiler system is 0.67.The optimal configuration for the hybrid air source heat pump heat-ing system is K=0.4(heat pump proportion)and Xk=0.5(thermal storage ratio).Considering cost efficiency,energy conservation,and environmental sustainability,the hybrid air source heat pump heating system with water-based thermal storage offers clear advantages.

Abstract:To evaluate the heat transfer characteristics of a phase-change thermal storage floor under low-temperature heating conditions,a physical model of a thermal storage floor containing phase-change paraffin wax was established in this study.Numerical simulations were conducted to analyze variations in the liquid phase rate of the phase-change layer,the temperature of the phase-change lay-er,and the surface temperature of the floor.The results show that when the heating supply tempera-ture was 32℃,the paraffin with a phase-change temperature of 23℃ completely melted at 3002?s,while the paraffin with a phase-change temperature of 28℃ reached a liquid phase rate of 0.428 by the end of the charging process.When the heating temperature was reduced to 28℃,the paraffin com-pletely melted at 9165 s.Under a heating temperature of 26℃,the liquid phase rate of the paraffin was 0.532 at the end of charging.It was determined that under low-temperature heating conditions,the optimal phase-change temperature of the paraffin is 23℃,corresponding to a minimum heating supply temperature of 28℃ for the floor.Higher heating temperatures resulted in closer melting times of the paraffin.After the paraffin was completely melted,the rate of temperature increase at the floor surface slowed down and gradually stabilized.The average surface temperature of the floor re-mained above 23 ℃,meeting the required heating temperature conditions.This study confirms the feasibility of using phase-change thermal storage floors in low-temperature heating systems and pro-vides a basis for selecting the phase-change temperature of the material.

Abstract:Due to their exceptional elasticity,extensive strain range,convenient functionalization,and com-mendable biocompatibility,hydrogel-based force-sensitive sensors are regarded as one of the most valuable categories of flexible force-sensitive sensors.However,the intrinsic ionic conductivity properties of hydrogel materials,along with the variations in their response mechanisms,often result in reduced responsiveness and sensitivity in conductive hydrogel-based force sensors,thereby significantly limiting their application pros-pects.To address this critical scientific issue,this study employed a template method to fabricate PCA ionic conductive hydrogels featuring diverse micro-pillar structures on their surfaces,utilizing them as the respon-sive medium to construct capacitive hydrogel pressure sensors.Through an investigation into the effects of mi-crostructural spatial distribution and height on the sensor's response performance,it was found that the sen-sor's sensitivity markedly increased with a decrease in the duty cycle,and an increase in microstructure height also substantially enhanced the sensor's sensitivity.The developed micro-structured PCA ionic conductive hy-drogel sensor exhibited an exceptionally wide applicable stress range(0.05～1100 kPa),with a capacitance response at 100 kPa stress that was 39.7 times greater than that of a planar sensor.Furthermore,it demon-strated outstanding stability and fatigue resistance(19.8 kPa,5000 cycles),enabling reliable monitoring of various loads,including static and impact forces.The microstructure design strategy and its corresponding re-sponse mechanism provide valuable insights for the advancement of a new generation of high-performance hy-drogel-based force-sensitive sensors.

Abstract:Digital technology provides a powerful impetus for fully promoting the Party's innovative theories in the new era to enter textbooks,classrooms,and minds,fulfilling the fundamental task of fostering virtue through education,and cultivating socialist builders and successors.At present,the digital transformation of the"Three Entries"of the Party's innovative theories still faces such prob-lems as insufficient digital empowerment,the need to improve teachers' digital literacy,potential risks in the application of digital technology,and an imperfect evaluation mechanism.Empowered by digital technology,ideological and political education in university should innovate the forms of con-tent supply to achieve targeted dissemination,enhance teachers' digital literacy and their ability to ap-ply digital technology,improve management mechanisms to strengthen institutional guarantees,and introduce diverse evaluation actors to build a dynamic evaluation system.These measures will ensure that digital technology is truly transformed into a powerful engine driving the"Three Entries"of the Party's innovative theories in the new era and will continuously raise their effectiveness.

Abstract:Under the first-class specialty initiative,the program systematically reformed the optimi-zation of automation control curricula and the development of student competencies.Centered on the"theory-application-practice"framework,the curriculum builds a collaborative teaching chain in core courses by consistently applying typical controlled objects such as single-tank storage systems.This approach integrates the same controlled object across courses including Automatic Control Principles,Computer Control Systems,and Process Control,with clear focuses on control strategies,instruction-al content,and competency development to ensure diversity,coherence,and consistency.Meanwhile,the program refined curriculum design,integrated a comprehensive control practice platform,and strengthened faculty capabilities in teaching and practical guidance.By organizing competitions such as the National Electronic Design Contest and the Intelligent Vehicle Competition,the program created a closed-loop feedback mechanism that promotes teaching,skill development,and continuous improve-ment,effectively enhancing students' competencies in system modeling,control algorithm design,and engineering applications.

Abstract:To address the problem of operation sequence planning for plant protection drones to perform spraying tasks among multiple plots,the objective function of minimizing flight mileage for pesticide spraying tasks is established.Considering the load and endurance constraints under long-distance operation,an improved ant colony algorithm is proposed to solve this objective function.By improving the heuristic function and the volatility coefficient and restricting the lower limit of the volatility coefficient,the slow convergence of the algorithm can be avoided.The simulation results show that,compared with the traditional ant colony algorithm,the proposed improved ant colony algorithm optimizes the total flight mileage by 6.2％,and has a stronger path optimization ability and a more efficient planning of the operation sequence.

Abstract:To investigate the effects of impregnation and silk-screen printing on hydrogel technology on the electrical conductivity of textile-based electrodes,three different structures including woven honeycomb,woven grid and"Tatami"embroidery techniques were selected to build fabrics in this pa-per.The variation of resistance in the flattening state and bending degree were tested experimentally,and the mechanism was analyzed in combination with the microstructure.The results show that the double layer of hydrogel is formed by the impregnation process,and the resistance value is increased by 4～49 times.The single layer of hydrogel was formed by the screen-printing process,and the re-sistance was significantly reduced,among which the honeycomb tissue electrode decreased by up to 64.8％.After the hydrogel treatment,the resistance difference along the warp and weft direction of the embroidery electrode was eliminated,and the resistance fluctuation of all electrodes under differ-ent bending and recovery states were significantly reduced,and the conductive stability was improved.The screen-printing process combined with hydrogel can effectively optimize the electrical properties of textile-based electrodes,and provide theoretical support for the design of textile-based electrodes in wearable devices.

Abstract:To investigate the effects of the structure of the gas-liquid coaxial atomizing nozzle,the number of gas channels and the gas-liquid pressure ratio on the atomization flow field inside and out-side the nozzle,a numerical simulation method was adopted for analysis.The two-phase flow model is selected for the VOF model and the turbulence problem is handled through the Realizable and k-εmodels.The gas and liquid inlets of the nozzle are set as the pressure inlet boundary conditions,and the flow field distribution of the inside and outside of the two gas-liquid two axial nozzles is obtained.The research results show that the opening angle of the nozzle cap directly affects the gas-liquid mix-ing velocity.The larger the opening angle,the worse the uniformity of the gas-liquid mixing velocity on both sides of the nozzle outlet.When the number of gas channels increases from 4 to 6 and 8,the contact area between the gas and the liquid increases,making the gas shear on the liquid more uni-form.When the single-phase gas channel pressure is 0.106 MPa(the total gas pressure is 0.64 MPa and the total liquid pressure is 0.32 MPa),the gas-liquid mixing velocity at the nozzle outlet is the largest,the distribution range of the gas-liquid mixing velocity in the Z-axis direction is the widest,and the mixing effect is the best.