A gravity model was constructed based on the comprehensive city quality and the bidirectional time distance to analyze the spatial and temporal pattern of the economic relations between Hefei and Nanjing two cities. The spatial structure of the urban economic network was explored by social network analysis. The findings are as follows: The economic connection strength of Hefei–Nanjing metropolitan area is led by two cores, with a "strong east, weak west" and "strong central, weak north and south" pattern; The interaction among circles is weak, and the potential for coordinated development in the intersection area is huge; The positive externality of economic network connection in Hefei has not been fully developed. The economic network is getting more closely connected, but not to a high level, and the structural stability is weak; The resource radiation capacity of the metropolitan area is stronger than its resource agglomeration capacity on the whole; The situation of the core city being "dominant" has changed, and the imbalance of regional economic connections has been improved. The geographical proximity of the cohesive subgroups is strong, but the composition of the cities is unstable, and the cohesion of the subgroups within the Nanjing metropolitan area is relatively strong. Therefore, it is necessary to strengthen the inter-circle connection, create integrated transportation, build a scientific and technological innovation community, and jointly promote the city-industry integration.

At present, the web text has become an important source to help understand tourists' experience and perceptions, which has attracted the attention of academia. Web crawler technology is used to crawl online tourist comments about Sanhe Ancient Town, which are processed by ROST Content Mining software to filter out high - frequency feature words. By using web text analysis method, part-of-speech and frequency analysis of high - frequency words, semantic network analysis, and sentiment analysis are conducted. The results show that the tourists' perceptions of Sanhe Ancient Town mainly involve the four dimensions of location, attractions, infrastructure, and tourism environment. Tourists generally have positive attitudes towards Sanhe Ancient Town, and they show overall satisfaction with their travel experience. It is suggested that Sanhe Ancient Town should improve tourists' experience and perceptions from the aspects of maintaining regional advantages, building a characteristic cultural town, "revitalizing" culture, and beautifying the environment.

The issue of identity recognition in the social integration process of urban new immigrants is related to social stability and development. It is of great significance to explore the influencing factors, process, and mechanism of this group's identity recognition in the context of a media society. This study uses questionnaire survey data from four cities in the Yangtze River Delta region and employs a structural equation model to investigate urban new immigrants' use of new media and explore the relationship path of its impact on their local identity recognition through the two mediating factors of psychological capital and social distance. The results show that the degree of new media use by urban new immigrants can enhance their psychological capital and reduce their social distance with local residents, and the reduction of social distance with local residents can enhance their local identity recognition. Although the degree of new media use cannot directly affect the local identity recognition of urban new immigrants, it can indirectly affect their identity recognition with social distance as a mediator and psychological capital—social distance as a chain mediator. The revelation of this mechanism can help inspire urban new immigrants to empower themselves through the use of new media, and can also provide reference for communities to use new media to build platforms conducive to the social integration of this group.

As the core of corporate governance mechanism design, effective board supervision can curb agency costs. The effectiveness of board supervision largely depends on its independence. The governance participation of external stakeholders also has an important impact. Taking non-financial companies in the Shanghai and Shenzhen stock markets from 2012 to 2020 as a sample, this paper focuses on the relationships between board supervision and two types of agency costs, particularly the impact of government participation, as the most important external stakeholder, on the relationships between board supervision and agency costs. The results show that, with the strengthening of board supervision, the two types of agency costs tend to decrease, and the government's participation as an external stakeholder further strengthens the effectiveness of board supervision and reduces agency costs.

This paper takes A-share listed companies from 2016 to 2021 as the research object to empirically test the relationship between key audit matters and asset mispricing. The results show that key audit matters can significantly alleviate asset mispricing, and information transparency and investors' irrational behavior play an intermediary role between them. Further research shows that the mitigating effect of key audit matters on asset mispricing is more significant in areas with better legal system and enterprises with high concentration of equity. This paper enriches the research in related fields, and provides reference for the government to improve the disclosure system of key audit matters for mitigation of asset mispricing and promote the high-quality development of the capital market.

This paper, based on CGSS（2010—2021） data, deeply explores the characteristics, trends, and influencing factors of female entrepreneurship. The research results show that the overall female entrepreneurship rate exceeds 20% and presents a gentle "W" trend, with survival entrepreneurship being the main type, but opportunity entrepreneurship gradually increasing; there exist individual differences, family differences, and urban-rural disparities in female entrepreneurship; factors such as education, age, class identification, number of children, family economic status, parental entrepreneurship experience, social insurance participation, and household registration all have a significant impact on female entrepreneurship. Based on the research results, suggestions are proposed to improve the policy support system for female entrepreneurship, strengthen the service guarantee for female entrepreneurship, and create a friendly atmosphere for female entrepreneurship.

The paper discusses the absolute stability of singular Lurie direct and indirect control systems with distributed delay. Based on Lyapunov stability theory and linear matrix inequalities, absolute stability criteria are obtained. The conclusions have guiding significance for practical control systems.

A neural network model is constructed, and the stability of the model is proved to be an important problem in solving nonlinear optimization. Matrix variable neural network model is an extension of vector neural network. A large number of researchers have proved that the former has more advantages in computational speed and application. A new matrix projection neural network is proposed for a class of nonlinear programming with mixed constraints, and the global stability of the model is proved. The simulation experiments further verify the conclusion.

The paper is based on A-share stock market data from 2010 to 2022 in the CSMAR database, and uses JT investment strategy to quantitatively analyze the momentum effect and reversal effect of stocks under different noise levels in China's stock market. It is found that: In A-share stock market, there is a significant momentum effect in low-noise trading stocks at the monthly level, while a significant reversal effect exists in high-noise stocks, the returns cannot be explained by the Fama-French three-factor model; The margin trading policy significantly reduces the reversal effect under high noise, but cannot reduce the momentum effect under low noise; Based on the existence of information delay in the market, the noise trading of a large number of individual investors in the stock market has promoted the formation of the reversal effect at the monthly level, masking the original momentum effect of the stock market, and leading to the widespread existence of the reversal effect and the partial existence of the momentum effect in the Chinese stock market. Finally, based on the conclusions of the article, relevant policy suggestions are proposed: Enhance investors' relevant knowledge education; Improve the margin trading system and expand the coverage of the target stocks for margin trading; Strengthen the information disclosure mechanism of listed companies.

The spatial distribution and migration characteristics of As (arsenic) in soil–tea tree of selenium-enriched tea garden were investigated by microwave digestion-inductively coupled plasma mass spectrometry. The results showed that the average soil As content in the sample area was No.4 > No.2 > No.1 > No.3, and the highest value of As content in tea garden soil was 3.3337 mg/kg, which met the soil environmental quality standard. The distribution order of As content in tea plant from high to low was fibrous root > main root ≈ main stem > old leaf > tea leaf; the As enrichment coefficient of tea plant to soil was fibrous root > main root > main stem ≈ old leaf > lateral stem > new leaf. When the tea plant was polluted by arsenic, its root had buffer and barrier effect on preventing arsenic from migrating upward. The migration ability of main stem ≈ old leaf > lateral stem > new leaf, which means that the migration ability of main stem and old leaf was stronger. The As content of tea ranged from 0.0448 to 0.106 mg/kg, which was lower than the limit value. The daily intake of As content accounted for 0.09%~0.25% of ADI, so the health risk of drinking tea was low.

In order to reduce the damage of solar thermal radiation to the human body, a large amount of the Earth's resources have been consumed. Currently, it is imperative to research novel environmentally friendly thermal shielding materials. The study uses orthogonal experimental method to study the effects of solvent carrier type, dispersant type, modification time, and ball milling time on the dispersion stability of cesium tungsten bronze(GTO) in methyl methacrylate(MMA). Further research was conducted on the influence of different ratios of GTO/PMMA composite materials on the thermal insulation effect, and their thermal insulation mechanism was analyzed. The microscopic morphology and near-infrared absorption performance of the samples were characterized by scanning electron microscope(SEM) and ultraviolet-visible light-near-infrared spectrophotometer, and the thermal insulation performance was evaluated by a self -made thermal insulation device. The experimental results show that the optimal solvent carrier is DOTP. Under the action of dispersant KENT-1103, the best stability is achieved with a ball milling time of 24 hours and an oscillation dispersion time of 24 hours. With SEM and transmission spectroscopy analysis, the PMMA-GTO composite material has good compatibility; the sample with PMMA-0.4 wt% GTO has a visible light transmittance of 39.96%, a near-infrared light barrier of 96.91%, a haze of 8.92%, and an insulation temperature of 10.1 ℃, showing the best overall performance.

Traditional fractal image decoding is very fast, and the process is difficult to control. Special applications such as video effects and animation may require a gradual image decoding process. Some scholars have introduced control parameters into compression mapping to slow down the fractal decoding process, but the relationship between control parameters and the peak signal-to-noise ratio (PSNR) of decoded image sequences has not been established. In this paper, a fractal image decoding algorithm based on peak signal-to-noise ratio is proposed, which realizes that the decoding process can be conducted according to the designed peak signal-to-noise ratio sequence, providing options for diverse image decoding applications.

Image style transfer has an important application in the field of art painting, and the existing art painting style transfer algorithms cannot well transfer the unique strokes and the contour features of the objects in the image of a specific-style work. In order to achieve better style transfer effect, a style transfer method for art painting images based on stroke and contour constraints is proposed. A pre-trained edge detector is used to extract the stroke features of the style image and the content image, and a loss function is designed to emphasize the stroke consistency between the two; erosion and blurring techniques are used to simulate the diffusion effect of pigments in oil paintings, and contour constraints are imposed on the object contours in the content image. The multi-head attention mechanism is introduced into the generative network to focus on key stylistic features, and the loss function adopts Smooth L1 instead of L1 to improve the training stability. The algorithm is mainly compared with CycleGAN in the experiments on the Van Gogh painting image dataset. The evaluation metric FID is reduced by 9%; SSIM is improved by 11.8%; PSNR is improved by 3.9%; and the human subjective evaluation is also significantly higher. The experimental results show that the algorithm has better style transfer effect than CycleGAN.

Remote sensing image classification is an important method to distinguish different types of targets according to the different features reflected in the image information. When traditional convolutional networks solve this kind of problem, it could easily cause network degradation and increase the amount of calculation due to the deepening of depth. In view of this, the paper proposes an improved structural model of residual network to enhance the classification performance of the network. Firstly, a 3D neural network and a residual neural network are used to extract features from the Salinas scene dataset to reduce the data volume. Then a channel attention mechanism is added to the residual neural network to improve the efficient recognition of hyperspectral image feature weights. Finally, a comparison experiment between the 3D neural network and the residual neural network is conducted, and the results show that the optimized residual network is more efficient.

This paper addresses the issue of not being able to quickly determine the parameters of the main spring under the required static stiffness during the early design stage of the rubber suspension of the powertrain, and improving its fatigue life. A method using Taguchi design and finite element analysis is proposed. Orthogonal experimental design of rubber suspension parameters is conducted using Minitab, and a finite element model is established in ABAQUS to analyze the vertical (V-direction) static stiffness of the suspension. The goal is to improve the number of fatigue lives under the condition of meeting the set target stiffness of the suspension. Through regression analysis, the relationship between vertical static stiffness, fatigue life, and various parameters is obtained, and the response function of stiffness and fatigue life is established. Using the response optimizer, the parameters of the main spring are obtained. Through finite element analysis, it is found that the fatigue life of the suspension has increased by 62.76% within the allowable range of static stiffness, providing a reference for the early design and development of rubber suspensions.

The conventional inverter frequency conversion operation control method lacks quantitative analysis of the power difference between various modules of the converter, resulting in a high switching frequency for inverter frequency operation control. Therefore, a PLC-based study on modular multilevel inverter frequency conversion operation control is proposed. According to the principle of voltage modulation, the triangular carrier wave is divided into two modules, which are used to adjust the voltage of the converter. Combined with the adjusted voltage of the low - frequency operating submodule, the frequency conversion operation error of the multilevel converter is calculated. Based on the quantitative analysis of the power difference between various modules of the converter and PLC technology, a modular multilevel converter variable frequency operation control model is constructed to control the variable frequency operation of the converter. The experimental results show that the switching frequency is as low as 251 Hz under the variable frequency operation control method of modular multilevel converter, and this method can optimize the fluctuation of switching frequency.

This article takes the tail shaft of the scraper conveyor as the research object, and uses the finite element analysis software ANSYS to analyze its static and dynamic characteristics. On the basis of the static analysis results, the fatigue characteristics of the tail shaft are analyzed using nCode DesignLife software, and the location of the unsafe area of the tail shaft life is determined, providing theoretical reference for further optimization of the scraper conveyor.

In the process of forming the "Three-All Education" framework, the role of college physical education is particularly important. The study suggests that college physical education is the mobilizer of all-member education, the practitioner of the whole-process education, and the connector of all-round education. It plays a role in physical education, spiritual nourishment, aesthetic cultivation, and personality development in the "Three-All Education", and can effectively integrate moral education in this process. The paths for college physical education to achieve "ThreeAll Education" include: firstly, clarifying the fundamental task of moral education in college physical education; secondly, leveraging the exemplary effect of outstanding student athletes; thirdly, establishing a synergistic mechanism between the first and second classrooms; fourthly, forging a strong team of physical education and ideological and political education teachers; fifthly, promoting the innovative integration of sports and artificial intelligence. The aim is to construct a new model of physical education in colleges, create a new ecology of physical education, and improve the education system of "Three-All Education" in colleges.

The daily behaviors of college students are closely related to their subjective well-being. This study conducted a survey on 1165 college students using a questionnaire method, analyzed the current status of subjective well-being, sleep quality, physical activity, and screen time of contemporary college students, and explored the impact of sleep, physical activity, and screen use on subjective well-being. The results show that the subjective well-being of college students is at a medium to high level, and those who are younger, have hobbies, and participate in extracurricular activities have better subjective well-being. Subjective well-being is significantly negatively correlated with sleep quality and screen time, and significantly positively correlated with physical activity. Regression analysis found that after controlling for demographic confounding factors, sleep disorders, daytime dysfunction, self-rated sleep quality, and sleep time negatively predict the subjective well-being of college students, while exercise frequency positively predicts the subjective well-being of college students. The conclusion provides a reference for behavioral guidance to improve the subjective well-being of college students.

Based on the fact that the electrospinning device used in the experiment item of "one-dimensional nanofibers prepared by electrospinning method" is expensive and inconvenient, we self-constructed an "electrospinning" teaching device independently. According to the basic principle of electrospinning, the injection pump, high voltage power supply, receiving device, glass cover, thermometer and other single instruments were assembled properly. As a result, the electrospinning device features low price and easy operation. When the device is applied to teaching, the students represent a long effective participation time and high learning interest. The performance of the self -constructed electrospinning teaching device is similar to that of the complete set of electrospinning equipment in the market. It shows a high experimental repeatability, accurate experimental results and smooth surface of experiment products, which meets the requirements of experimental teaching. The accessories are easily purchased and assembled, which gives the self-constructed electrospinning device wide applications.

The monochromators used in experimental teaching are generally enclosed and the optical components are fixed, which does not allow students to check the internal structure at any time, nor does it allow students to open the cover for adjustment. Based on the grating monochromator design experiment, a low-cost, repeatedly assembled and disassembled, non-enclosed, and easily adjustable grating monochromator was constructed and used for experimental teaching. Students use the most basic optical components to build a monochromator, then model and trace the optical path with Zemax optical design software, and analyze it by dot charts. In addition, students can choose their own openended exploratory experimental design in the direction of research they are interested in.

From the aspects of improving teacher capability and student ability, constructing a blended learning approach, managing teaching content and resources, optimizing process management and assessment methods, the paper explores the main measures of double-line blended teaching reform. The teaching practice and effectiveness of double-line blended teaching prove that student-centered double-line blended teaching reform has made teaching resources more extensive and teaching design more reasonable, by which teaching and learning could complement each other more comprehensively, and the quality of higher education could be effectively improved.