Mutual Promotion Research Articles

The Influence of Social Capital on Farmers’ Tourism Livelihood Willingness—A Study on Goulanyao Village

Based on social capital theory, semi-structured interviews were conducted with farmers in Goulanyao Village, and content analysis was used to sort out the social capital status of local farmers and how social capital shaped their tourism livelihood willingness. The results show that farmers affect their tourism livelihood willingness through four paths: the social network path, social norm path, social trust path, and cultural identity path. The mutual promotion and restriction relationship between the social network path, social norm path, and social trust path leads to the gradient difference in farmers’ own social capital perception. Social capital and cultural identity jointly affect and determine the four modes of farmers’ tourism livelihood willingness: rapid acceptance, hesitant acceptance, hesitant rejection, and rapid rejection. The research results supplement the achievements of social capital in rural tourism research and provide a reference for promoting farmers’ tourism livelihood willingness and livelihood diversification.

Synergizing Enterprise Digital Governance and Green Development: Opportunities and Challenges

With the in-depth development of global informatization and industrialization, the collaborative development of enterprise digital governance and green has become an important issue faced by enterprises today. Digital governance can improve the operational efficiency of enterprises, while green collaborative development can help enterprises achieve sustainable development. The two complement each other and jointly promote the long-term development of enterprises. This paper will analyze the current situation, challenges, and development trends of the collaborative development of enterprise digital governance and green and present some insights and thoughts. Only by strengthening the mutual promotion of digital governance and green collaborative development can the sustainable development of enterprises be achieved. In the future, with the in-depth development of informatization and industrialization, this topic will be more important. This study hope that more enterprises and research institutions will pay attention to this issue, jointly promote the progress of digital governance and green coordinated development and contribute to green and high-quality economic and social development.

A study on the coupling of Li+ and H3BO3 extraction and their mutual promotion mechanism

Efficient extraction of lithium and boron resources from salt-lakes is a prominent topic of research among scholars. In this study, a process route for the simultaneous extraction of lithium and boric acid was employed, followed by their separation through stepwise stripping. During the experiments, a coupling effect in the extraction of Li+ and H3BO3 was found, leading to an in-depth investigation of their mutual promotion mechanisms. Three significant patterns have been clearly verified through experiments, molecular dynamics simulations and quantum chemical calculations: First, the acidic extractant N221 can not only extract Li+, but also enhance the extraction of H3BO3; Second, mono-fatty alcohol R-OH as dilute can effectively extract H3BO3 while also promoting the extraction of Li+. Lastly, Li+ and H3BO3 can mutually promote each other's extraction. Using the Qinghai old brine, N221 system achieved a 99 % extraction efficiency for H3BO3, with an initial lithium extraction of 97 %, around 80 % in subsequent rounds. This paper proposes an effective method for the extraction of Li+ and boric acid, and thoroughly studied the mechanism of their mutual promotion of extraction. This research offers new insights into the comprehensive utilization of salt-lake resources.

Impact Assessment of Technological Innovation Policy on The Competitiveness of Spain's Cloud Computing Market

This paper discusses the impact assessment of technological innovation policy on the competitiveness of Spanish cloud computing market. The research points out that under the wave of digitalization, cloud computing technology has become the key to promote the development of informatization. As an important economy in Europe, the development of Spain's cloud computing market is of great significance to digital transformation. The technological innovation policies introduced by the European Union and the Spanish government, such as GAIA-X project, Industry 4.0 strategy and carbon neutrality goal, not only promoted the development of cloud technology, but also promoted the prosperity of the Spanish cloud computing market. GAIA-X project has brought opportunities for cooperation and competition for Spain, while Industry 4.0 strategy and carbon neutrality goal have stimulated the demand of enterprises for cloud computing. At the same time, Spain's domestic policies such as "Digital 2025 Plan" and Microsoft and Amazon's investment in data centers in Spain provide a good environment and opportunities for the cloud computing market. These policies have promoted the standardized development of the cloud computing market and enhanced the market competitiveness. Spain's public cloud market is growing steadily and is expected to continue to expand in the next few years. The establishment of a data center in Spain by cloud vendors not only promoted the country's position in the global cloud computing network, but also brought significant feedback effects to the local cloud computing market. The research reveals the mutual promotion relationship between policy and market, emphasizing the key role of policy in creating favorable environment and promoting market demand growth, while the development of market promotes the improvement and innovation of policy. This paper provides valuable insights and suggestions for the further prosperity of Spanish cloud computing industry.

Utilizing the Advantages of Ideological and Political Work of Party Building to Promote Cultural Construction of State-owned Enterprises

At present, with the continuous changes in the global economic situation and fierce market competition, state-owned enterprises, as an important pillar of the national economy, are facing the challenge of accelerating transformation and upgrading, and constantly innovating and developing. Playing the advantages of ideological and political work of party building can activate the endogenous power of the development of state-owned enterprises, and further promote the better and faster development of state-owned enterprises. Party building work and enterprise culture construction have the role of mutual promotion and facilitation, play a good party building ideological and political work advantages, help to improve the ideological understanding of enterprise staff, promote the formation of excellent enterprise culture in line with the actual development of the enterprise, help to enhance the sense of responsibility and sense of identity of state-owned enterprise workers, further focus on the center, serve the overall situation, and promote the high-quality development of state-owned enterprises.

Power text information extraction based on multi-task learning

In order to improve the analysis and processing speed of power system fault text in actual business scenarios, a power fault text information automatic extraction model based on pre-training and multi-task learning is proposed. The pre-training model is used to learn the context information of power text words, and the first-order and second-order fusion features of words are mined to enhance the representation ability of features. The multi-task learning framework is used to combine the learning of named entity recognition and relationship extraction tasks to achieve mutual complementation and mutual promotion between entity recognition and relationship extraction, thereby improving the performance of power fault text information extraction. Finally, the model is verified by the daily business data of a power grid data center. Compared with other models, the accuracy and recall rate of power fault text entity recognition and relationship extraction are improved.

Synergistic release of Cd(II) and As(V) from ternary sorption systems containing ferrihydrite nanoparticles: The role of binary and ternary surface complexes

Cadmium (Cd) and arsenic (As) generally exhibit mutually beneficial co-sorption behavior on iron oxyhydroxides through multiple mechanisms, including surface precipitation, ternary surface complexes, and electrostatic interactions. However, the numerous factors that control the immobilization of Cd and As in turn complicated the processes and mechanisms involved in their co-desorption from iron minerals, which hindered the full understanding of their geochemical behaviors. Here, the simultaneous release of Cd(II) and As(V) from newly precipitated ferrihydrite nanoparticles by either Ca or P was investigated through kinetics and isothermal desorption experiments. We showed that the Cd(II) and As(V) present two-phase desorption processes (rapid desorption and slow desorption) in both binary (Fe–Cd or Fe–As alone) and ternary systems (Fe–Cd–As co-presence). Compared to their binary counterparts, Cd(II) and As(V) in the ternary systems are more prone to detachment from ferrihydrite. Further desorption of Cd(II) and As(V) at different co-presence scenarios (different initial concentrations) demonstrated mutual promotion behaviour towards their counterparts; the co-presence of Cd(II) facilitates the desorption of As(V), while the co-presence of As(V) also promotes the desorption of Cd(II). XPS and FTIR results demonstrated that either Ca or P showed minor effects on the binding environment of Cd and As. Further results from the in-situ ATR-FTIR experiment and second derivative peak fitting analysis indicate that the enhanced detachment of Cd(II) and As(V) from the ternary system may be due to the synergistic desorption of the ternary surface complexes and other surface complex species. Our results provide new insights into the prediction of the environmental behaviour of the coexistence of Cd(II) and As(V) in iron-rich geological settings. The potential environmental risks of iron-based remediation methods should be considered due to the enhanced bioavailability of Cd(II) and As(V) in co-presence circumstances.

Nonviral genetic manipulation system with microenvironmental cascade sensitivity for the treatment of TNBC-associated metastatic bone tumor

Gene therapy is an efficacious therapeutic modality for triple negative breast cancer (TNBC). However, the practicable applicability is strictly confined in TNBC-associated metastatic bone tumor due to the low blood flow and poor accumulation in bone tissue, as well as the vicious cycle of mutual promotion between tumor growth and bone erosion. To address those problems, a versatile nonviral genetic manipulation system PSMCA/miR-34a, with caveolae-activated endocytosis and microenvironmental cascade-responsive release profile was exploited. In vitro and in vivo experiments confirmed that PSMCA/miR-34a not only possessed bone-targeting properties to accumulate at bone tumor tissue, also could respond to the bone tumor microacidic environment to release alendronate to inhibit the bone erosion. After internalized into cells mainly through caveolae-mediated endocytosis, it was spurred to disassemble for controlling release the miR-34a by high intracellular GSH environment, generating an effective anti-tumor effect. Moreover, due to the synergistic effect, PSMCA/miR-34a could breakdown the vicious cycle between bone destruction and tumor growth in the tumor microenvironment, showing high potential in the clinical gene therapy for TNBC-associated metastatic bone tumor.

Calligraphic Semiotic Interpretation in Jewelry Design: Culture, Identity and Expression

This article places the application of calligraphy in jewelry design under the perspective of semiotic research. It is a targeted study based on whether calligraphy can be organically integrated with semiotic characteristics for jewelry design. Supplemented by qualitative analysis, based on the relationship between the form and connotation of calligraphy and the signifier and the signified in semiotics, the positive impact of the integration and mutual promotion of calligraphy semiotics and jewelry design was deeply explored. This article first introduces the principles of semiotics, cultural semiotics and the research theory of traditional Chinese cultural symbols, then explains the essential characteristics and significance of jewelry design, and then focuses on the multi-dimensional and diversified connection between calligraphy, jewelry design and semiotics. After discussion and research, we finally reflected on jewelry design and attached relevant suggestions. The perspective chosen in this article is one of the outstanding features of this study. Although calligraphy and symbols originated from different cultural backgrounds in the East and the West, they have common attributes and functions that can be learned from each other. Based on the theoretical intersection of calligraphy and semiotics, the value and application of the combination of calligraphy symbols and jewelry design are discussed, which fully illustrates the close connection between Chinese calligraphy and semiotics and jewelry design. This article attempts to start with Chinese calligraphy and use semiotic research as a guide to construct a more practical "symbol"-"calligraphy"-"culture" jewelry design model. Through theoretical framework analysis, literature review, and empirical research, this article delves into how calligraphic symbols contribute to cultural heritage conservation, personal identity expression, and artistic expression in the context of jewelry design.

Parameter tuning for active disturbance rejection control of fixed-wing UAV based on improved bald eagle search algorithm

PurposeThis paper aims to develop a method for tuning the parameters of the active disturbance rejection controller (ADRC) for fixed-wing unmanned aerial vehicles (UAVs). The bald eagle search (BES) algorithm has been improved, and a cost function has been designed to enhance the optimization efficiency of ADRC parameters.Design/methodology/approachA six-degree-of-freedom nonlinear model for a fixed-wing UAV has been developed, and its attitude controller has been formulated using the active disturbance rejection control method. The parameters of the disturbance rejection controller have been fine-tuned using the collaborative mutual promotion bald eagle search (CMP-BES) algorithm. The pitch and roll controllers for the UAV have been individually optimized to obtain the most effective controller parameters.FindingsInspired by the salp swarm algorithm (SSA), the interaction among individual eagles has been incorporated into the CMP-BES algorithm, thereby enhancing the algorithm's exploration capability. The efficient and accurate optimization ability of the proposed algorithm has been demonstrated through comparative experiments with genetic algorithm, particle swarm optimization, Harris hawks optimization HHO, BES and modified bald eagle search algorithms. The algorithm's capability to solve complex optimization problems has been further proven by testing on the CEC2017 test function suite. A transitional function for fitness calculation has been introduced to accelerate the ability of the algorithm to find the optimal parameters for the ADRC controller. The tuned ADRC controller has been compared with the classical proportional-integral-derivative (PID) controller, with gust disturbances introduced to the UAV body axis. The results have shown that the tuned ADRC controller has faster response times and stronger disturbance rejection capabilities than the PID controller.Practical implicationsThe proposed CMP-BES algorithm, combined with a fitness function composed of transition functions, can be used to optimize the ADRC controller parameters for fixed-wing UAVs more quickly and effectively. The tuned ADRC controller has exhibited excellent robustness and disturbance rejection capabilities.Originality/valueThe CMP-BES algorithm and transitional function have been proposed for the parameter optimization of the active disturbance rejection controller for fixed-wing UAVs.

Effect of Solid-State Fermentation of Hericium erinaceus on the Structure and Physicochemical Properties of Soluble Dietary Fiber from Corn Husk.

Corn husk, a by-product of corn starch production and processing, contains high-quality dietary fiber (DF). Our study compares and analyzes the impact of Hericium erinaceus solid-state fermentation (SSF) on the structure and physicochemical characteristics of soluble dietary fiber (SDF) of corn husks. The study also investigates the kinetics of SSF of H. erinaceus in this process. The scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FT-IR) results revealed significant structural changes in corn husk SDF before and after fermentation, with a significant elevation in the functional group numbers. The data indicate that the fermented corn husk SDF's water-holding, swelling, and oil-holding capacities increased to 1.57, 1.95, and 1.80 times those of the pre-fermentation SDF, respectively. Additionally, the results suggest that changes in extracellular enzyme activity and nutrient composition during SSF of H. erinaceus are closely associated with the mycelium growth stage, with a mutual promotion or inhibition relationship between the two. Our study offers a foundation for corn husk SDF fermentation and is relevant to the bioconversion of maize processing by-products.

The interaction between sludge and microplastics during thermal hydrolysis of sludge

In municipal wastewater treatment plants (WWTPs), large number of microplastics (MPs) accumulated in wastewater migrated into sludge. Thermal hydrolysis of sludge (THS) was one of the most promising processes for promoting changes in molecular structure of MPs. The physicochemical properties and degradative pathways of polyethylene (PE) and polyethylene terephthalate (PET) in THS under different temperatures were studied in this paper. It was found that there was a mutual promotion relationship between sludge degradation and MPs aging. The presence of PE and PET MPs not only increased organics and nitrogen concentrations of sludge filtrate, but also enhanced the transformation of organics like proteins. Sludge accelerated the aging of PE and PET MPs. The friability of PE and PET MPs was increased with more surface fragmentation and breakage under the temperature of 120 ℃−180 ℃. Moreover, PE and PET MPs occurred thermal oxidation and reduction reactions with significant chemical structure changes at 160 °C and 140 °C, respectively. Pristine PE and PET had multiple carbon and oxygen active sites. During THS reaction, not only PE and PET reacted hydrolysis/decomposition to produce short-chain hydroxyl-terminated compounds, but also hydrothermal shear broke the polymer molecules and formed carboxyl-terminated and olefin-terminated low-carbon chains. This study provided some promising sign for in situ microplastic removal during sludge treatments.

Heterogeneous NASICON-Type Cathode With Reversible Multielectron Reaction for High-Performance Sodium-Ion Batteries.

Na superionic conductor (NASICON)-structured compounds demonstrate great application potential by their robust framework and compositional diversity. However, they are blamed for the mediocre energy density, and achieving both multielectron reaction and good cycling stability simultaneously is challenging. Herein, a novel heterogeneous Na4Fe3(PO4)2(P2O7)/Na2VTi(PO4)3 (NFPP/NVTP) material with stable multielectron reaction is constructed by spray drying technology. The mutual promotion effect of intergrowth structures effectively improves the purity and the crystallization of NFPP/NVTP during the fabrication process, which is beneficial to the high capacity and cycling stability. As a result, the optimized NFPP/NVTP demonstrates a high reversible capacity of 155.3 mAh g-1 at 20mA g-1 and outstanding cycling stability with 82.9% capacity retention over 2500 cycles at 1 A g-1, which are much superior to those of NFPP and NVTP individually. Even in full cell configuration, the energy density remains high at ≈380Wh kg-1 based on the cathode mass. The high capacity of NFPP/NVTP is also attributed to the successive reduction/oxidation mechanism involving the introduction of Ti3+ and interfacial charge redistribution effect between the heterogeneous phases, which greatly improve the electronic and ionic conductivity. Moreover, high reversible structural evolution during the multisodium storage process further guarantees excellent cycling stability.

Surface weathering process of earthen heritage under dry-wet cycles: A case study of Suoyang City, China

Dry-wet cycle is a key factor in surface weathering of earthen heritage, which remains insufficiently explained. It involves the interaction of humidity, stress, and damage. Using the RFPA (realistic failure process analysis) numerical method, this study reproduced the processes of humidity diffusion, deformation, stress, and damage evolution under dry-wet cycles in the soil site of Suoyang City, China. The numerical results indicate that the drying phase following rainfall has the most significant deteriorative impact on the earthen heritage. The evaporation of surface moisture during this phase causes volume shrinkage, which in turn generates tensile stress and leads to the formation of numerous desiccation cracks. Desiccation cracks provide channels for moisture diffusion, which further exacerbates generation of the cracks, leading to a mutual promotion between the two phenomena. Furthermore, during the wetting phase, the model elements undergo hygroscopic expansion, resulting in a slight increase in strain and displacement. Previously formed cracks may exhibit temporary narrowing or closure, but will revert during the subsequent drying phase. Ultimately, the overall displacement increases with the number of dry-wet cycles. The findings provide a theoretical foundation for protection against surface weathering and other damage in earthen heritage in arid regions.

Layered Porous Ring-Like Carbon Network Protected FeNi Metal Atomic Pairs for Bifunctional Oxygen Electrocatalysis and Rechargeable Zn-Air Batteries.

Bimetallic atom catalysts exhibit ultra-high oxygen electrocatalytic activity by harnessing mutual promotion and synergistic effects between adjacent metal active centers, surpassing the performance of single metal atomic catalysts. Herein, FeNi atom pairs protected by hierarchical porous annular carbon grids (P-FeNi-NPC) are introduced using a mediator-assisted MOFs-derived strategy. The introduction of the multi-block copolymer P123 ensures the uniform confinement and dispersion of metal ions, followed by thermal decomposition to form a "planetary-ring-like" carbon framework that anchors the bimetallic atomic pairs in the active region. The homogeneous distribution of adjacent Fe-N4 and Ni-N4 active sites significantly enhances catalytic activity and stability. Leveraging unique electronic and geometric structures, the resulting P-FeNi-NPC catalyst demonstrates exceptional ORR and OER activities with an ΔE value of 0.705 (E1/2 = 0.845V, Ej = 10 = 1.55V). Theoretical calculations unveil that FeNi bimetallic sites loaded on nitrogen-doped carbon frameworks with specific curvature effectively modulate the energy of d-band centers, thus balancing the free energy of oxygen-containing intermediates. This study presents a novel and versatile approach for synthesizing advanced bifunctional catalysts, poised to drive the future development of Zn-air batteries.

Research on the interaction between tourism management and rural cultural inheritance and protection

Taking Funing County, Wenshan Zhuang and Miao Autonomous Prefecture, Yunnan Province as an example, this paper studies the interaction between tourism management and rural cultural heritage and protection. Firstly, the importance of tourism management and the protection of rural cultural heritage was introduced, and the significance of studying the interaction in the context of Funing County was expounded. Secondly, the role of tourism management in the inheritance and protection of rural culture was discussed, including the characteristics of the discipline and the goal of talent training. Then, the application of rural cultural heritage protection in tourism management is analyzed, including tourism planning and development, tourism marketing, tourism human resource management, etc. Then, the interactive relationship between tourism management and the inheritance and protection of rural culture was deeply analyzed, including mutual promotion and mutual constraint. Through empirical case analysis, this paper elaborates the current situation and existing problems of tourism management and rural cultural heritage protection in Funing County, and puts forward corresponding countermeasures and suggestions, including policies and regulations, talent training and market development. Finally, the research results are summarized, the shortcomings of the research are pointed out, and the direction of future research is proposed.

Nickel foam-decorated hollow-Co3O4/GO nanocomposites: A highly sensitive non-enzymatic electrochemical sensor for glucose detection

Cobalt-based nanomaterials, characterized by multiple oxidation states and high stability in alkaline environments, have been found extensive applications in glucose detection. In this study, a cobalt-based zeolitic imidazolate framework (ZIF-67) was employed as a precursor, where Co2+ was coordinated with carboxyl groups of oxidized graphene oxide (GO), resulting in the formation of cobalt-based nanoparticles. The integration of Co2+ with GO established a novel cobalt-based nanomaterial with potential implications for glucose detection. At a calcination temperature of 260 °C, the calcination process extended for 4 h, fulfilling the synthesis of Hollow-Co3O4/GO nanocomposites. These nanocomposites were subsequently engaged as electrochemical electrodes for glucose detection through the impregnation method. The distinctive structure of Hollow-Co3O4/GO has spurred mutual promotion of the reoxidation reactions at the interface, culminating in a substantial augmentation of the specific surface area and a consequent considerable surge in the glucose oxidation current. In addition, due to the retention of the structure of MOFs, the pores can be used to adsorb glucose molecules, which is conducive to the accurate detection of the reaction. Under optimal conditions, the sensitivity of the Hollow-Co3O4/GO modified electrode hits 1582.7 μA mmol−1 cm−2, with a detection limit of 0.49 μmol/L (S/N = 3) and a response time of approximately 2 s. These achievements have emphasized the promising applicability of Hollow-Co3O4/GO nanocomposites as an active material for practical electrochemical biosensors.

Role Exchange-Based Self-Training Semi-Supervision Framework for Complex Medical Image Segmentation.

Segmentation of complex medical images such as vascular network and pulmonary tracheal network requires segmentation of many tiny targets on each tomographic section of the 3-D medical image volume. Although semantic segmentation of medical images based on deep learning has made great progress, fully supervised models require a great amount of annotations, making such complex medical image segmentation a difficult problem. In this article, we propose a semi-supervised model for complex medical image segmentation, which innovatively proposes a bidirectional self-training paradigm, through dynamically exchanging the roles of teacher and student by estimating the reliability at the model level. The direction of information and knowledge transfer between the two networks can be controlled, and the probability distribution of the roles of teacher and student in the next stage will be jointly determined by the model's uncertainty and instability in the training process. We also resolve the problem that loosely coupled networks are prone to collapse when training on small-scale annotated data by proposing asymmetric supervision (AS) strategy and hierarchical dual student (HDS) structure. In particular, a bidirectional distillation loss combined with the role exchange (RE) strategy and a global-local-aware consistency loss are introduced to obtain stable mutual promotion and achieve matching of global and local features, respectively. We conduct detailed experiments on two public datasets and one private dataset and lead existing semi-supervised methods by a large margin, while achieving fully supervised performance at a labeling cost of 5%.

The evolution of cooperation and global synchronization in the evolutionary Kuramoto dilemma combined with the prisoner's dilemma

In this work, we have studied the evolution of the cooperation and the global synchronization on the Kuramoto model upon random networks with two games, in which one is the evolutionary Kuramoto dilemma and the other is the weak prisoner's dilemma. Agents can gain their payoffs from these two games synchronously. In the evolutionary Kuramoto game, cooperators prefer the formation of local synchronization but pay less cooperative cost. Cooperators in weak prisoner's dilemma can form cooperator clusters because of the network reciprocity. Combining these two games shows a mutual promotion effect upon the order of the global synchronization but a competition effect on the cooperation level. The global synchronization begins to rise only when most agents choose cooperation. It is manifested by the fact that the optimal coupling strength for the highest cooperation level is smaller than that for the highest synchronization level. The high cooperation cost makes defection the most advantageous strategy when the coupling strength reaches rather high, which diminishes the effect of cooperator clusters, and ultimately results in the absence of both cooperators and global synchronization. When agents have more neighbors in the random network, it is observed that cooperation is consistently hindered unless the coupling strength is relatively small. Additionally, there is always an optimal average degree that allows for global synchronization.

Wavelet-powered hierarchical frequency filtering framework for autonomous vehicle sensors fault diagnosis and correction under open environments

The reliable operation of autonomous vehicles heavily depends on the functionality of numerous sensors that facilitate environmental perception and vehicle control. However, sensor malfunctions can significantly undermine the dependability and safety of autonomous vehicles. Despite the significant advancements made in sensor fault diagnosis through deep learning, the technology's susceptibility to noise and limited frequency analysis capacity renders it less effective in addressing frequency aliasing and noise interference issues. In addition, repairing incorrect sensor data holds greater significance for autonomous vehicles than merely identifying sensor failures. To this end, this paper proposes a wavelet-powered hierarchical frequency filtering framework (WavePHF) for autonomous vehicle sensors' fault diagnosis and correction. First, this study designs a multi-sensor fault identification and correction joint architecture to detect sensor faults and repair fault signals in time. Second, this study integrates the discrete wavelet transform (DWT) algorithm into the deep model to significantly enhance the model's frequency analysis capabilities and suppress frequency aliasing and noise interference. In particular, DWT is deeply integrated into the convolutional modules' parameter updating and optimization process, thereby facilitating mutual learning and promotion. Third, this study proposes an adaptive frequency weighting block for low-frequency features and an adaptive frequency discarding block for high-frequency features to achieve hierarchical frequency filtering in a coarse-to-fine manner and efficiently identify fault categories and restore pure signals. The WavePHF is evaluated on a real autonomous driving dataset. Experiments show that WavePHF has excellent autonomous vehicle sensors fault diagnosis and correction capabilities and competitive performance in different urban scenarios.