An Introduction to the Chinese National Community systematically expounds General Secretary Xi Jinping's important thoughts on ethnic work, and is the founding work of "Chinese National Community Studies". The book analyzes in depth the theories, historical concepts and practical values of building the Chinese national community, answers the relevant basic concepts, clarifies the theoretical origins, and provides theoretical support for forging a strong sense of Chinese national community in the new era. Guided by a correct historical view of the Chinese nation, the book clearly explains the formation and development of the Chinese national community and shows the development pattern of pluralism and unity. An Introduction to the Chinese National Community summarizes the practical concepts of ethnic work in the new era, providing a guide to action for promoting national unity

In order to fully explore the functional genes and utilize the biological resources of Taxus chinensis var. mairei, PacBio Sequel third-generation sequencing technology was used to conduct high-throughput transcriptome sequencing, and systematic bioinformatics analysis was employed to study the Taxus chinensis var. mairei obtained from Mount Fanjing, Guizhou Province. The study obtained 68.03 Gb of raw data, which included 1 001 302 raw sequence reading fragments. After assembling, splicing and de-redundancy, 65 152 unigenes with an average length of 2 591 bp were obtained. Database comparison showed that the gene expression of cellular and metabolic activities of the Taxus chinensis var. mairei were higher, indicating strong metabolic activity and genetic information processing capacity. Meanwhile, transcription factors in the transcriptome related to growth and development, stress resistance, secondary metabolism and synthesis provided new insight into the study of the comprehensive utilization and genetic breeding of Taxus chinensis var. mairei.

Aiming at the problems of rough stroke details and fuzzy style features caused by insufficient attention to detail features in current font generation algorithms, a Chinese character font generation algorithm based on multi-receptive field features was proposed. In view of the lack of stroke details, a Multi-Receptive Field Feature Pyramid (MRFP) module was introduced to capture features of different scales and reconstruct stroke details. In view of the impact of redundant features on the quality of the generated results, Spatial and Channel Reconstruction Convolution (SCConv) was used instead of ordinary convolution, and the fused methods of separation reconstruction and separation transformation were adopted to suppress the redundancy of space and channels. Therefore, the attention to the overall font features was improved and the generalization ability of the model was strengthened. In the experiment, 10 types of Chinese character libraries were used for training, the experimental results showed that the generation result of this method was superior to other font generation algorithms in terms of overall style and stroke details. The evaluation indexes of PSNR, SSIM and LPIPS were all improved.

The treatment of low temperature and short sunshine before strawberry transplanting can promote the early flowering of strawberry and prolong the fruit cycle. At present, the main techniques of promoting flower and fruit production in advance in strawberry production are cold storage low temperature seedling raising and plateau seedling raising. However, there is a unified standard for low-temperature and short-day treatment of strawberries, which leads to inconsistent flowering periods of strawberries and frequent occurrence of fruit stubble. In this paper, the factors affecting the flower bud differentiation of strawberry, such as seedling, temperature, light and hormone, were reviewed. The relationship between low temperature and flower bud differentiation of strawberry was emphatically expounded,such as the advantages and disadvantages of different low temperature treatment methods, the effect of low temperature on the flowering period of strawberry, the effect of low temperature on the endogenous hormones of strawberry, and the physiological mechanism of low temperature promoting flower of strawberry, which provided some theoretical help for the early flower promotion technology of strawberry.

In order to improve the control performance of distributed driving electric vehicles, and for the situation that some vehicle state parameters cannot be directly measured by sensors, this paper used unscented Kalman filters to design a nonlinear observer for vehicle state and parameter coupling, and estimated the vehicle state and actuator failure coefficients. The nonlinear vehicle dynamic model was established, so that the motor fault diagnosis problem was transformed into a real-time parameter estimation problem. The yaw speed and vehicle speed were estimated in real time by UKF (Unscented Kalman Filter). Finally, the Carsim/Simulink co-simulation was used to verify the problem. The simulation results show that the observer can accurately estimate the above related vehicle states and parameters, which verifies that the estimation algorithm has high real-time performance and accuracy.

This paper analyzes and summarizes the issues in various Transformer-based multi-object tracking architectures, considering Transformer-based multi-object tracking as "query-based" methods. It focuses on the structure and functionality of these systems, with the "query" mechanism as their core. The different Transformer-based multi-object tracking systems are categorized into four main types: DETR-based trackers, memory-based trackers, temporal-spatial motion trackers, and other miscellaneous trackers. The performance of each algorithm is assessed using the MOTA metric on the MOT17 benchmark dataset. Based on these evaluations, the paper also suggests future trends in Transformer-based multi-object tracking.

To improve the gas-sensing performance of WO₃ for NO₂, Ce-doped WO₃ nanofibers were prepared by electrostatic spinning technique, and WO₃ and Ce-WO₃ gas sensors with different doping ratios were prepared for gas-sensing experiments. The experimental results showed that the doping of Ce elements significantly improved the sensing performance of WO₃ for NO₂. When the operating temperature was reduced to 100℃, the response value of the 2 mol% Ce-WO₃ sensor was 22.16 with the concentration of NO₂ of 5 ppm. The structure, morphology, and surface chemical states were characterized by XRD, SEM, and XPS, and the bandgap was characterized and analyzed using UV-vis. The analysis showed that the enhancement of the NO₂ performance of the 2 mol% Ce-WO₃ sensor was mainly due to the increase of the adsorbed oxygen content on the surface and the reduction of the bandgap after Ce doping.

To enhance the effectiveness of font family generation, this paper proposes a method that integrates SCConv and attention mechanisms, specifically targeting the unique characteristics of font families by adjusting the network to focus on local font features and stroke intersections. This method replaces standard convolution with spatial-channel reconstruction convolution (SCConv) to improve the efficiency of network generation. Additionally, the model incorporates shuffle attention (SA), which combines and groups font features to increase feature interaction, and uses a multi-head attention mechanism to fuse the font features. Experimental results show that the proposed model outperforms the DG-Font algorithm in both metrics and visual outcomes for generating font family characters.

Aiming at the problems of low extraction accuracy and high computational complexity in the current volume maximization endmember extraction technology, the Extraction MethodBased on Genetic Algorithm and Volume Maximization (EE-GAVM) is proposed to improve the existing endmember extraction methods. The EE-GAVM method locates the endmember set by searching for the pixel vector set with the largest volume of the simplex, and expresses the endmember extraction problem as a single target, which saves computing resources and improves accuracy. The experimental results show that the proposed method outperforms other comparative algorithms in terms of performance and accuracy.

This article proposes a diesel engine fault diagnosis method that combines Variational Mode Decomposition (VMD) and Extreme Learning Machine (ELM) to diagnose and classify diesel engine faults. Aiming at the nonlinear and non-stationary characteristics of diesel engine vibration signals, an optimized VMD decomposition method based on Sparrow Search Algorithm (SSA) is proposed to achieve good decomposition performance. A classification model based on Grey Wolf Optimization (GWO) algorithm for optimizing ELM is proposed to address diverse types of fault signals in diesel engines, making the classification performance more stable. Finally, the proposed method is applied to the fault detection and recognition of Isuzu 6BB1 diesel engine, with a fault recognition accuracy of 98.04%. The diagnostic results verify that GWO-ELM has high accuracy, and this method is feasible and effective.

Four curved steel-concrete-steel composite plates (CSCSCPs) with different curvatures were designed to investigate the explosion resistance, and the damage, displacement and energy dissipation of the CSCSCPs under blast loading were studied by using the finite element software ABAQUS. Moreover, taking the CSCSCP with curvature of 0.75 as an example, parametric study was carried out to investigate the effect of blasting distance, charge mass, steel plate thickness, concrete thickness, stud spacing and its diameter on the dynamic response of the CSCSCP. The results show that under the same blast loading, the maximum kinetic energy and maximum mid-span displacement of the CSCSCP decrease as the curvature increases. When the total thickness of the inner and outer steel plates remains unchanged, moderately increasing the thickness of the inner steel plate is more conducive to reduce the maximum mid-span displacement of the CSCSCP. Appropriately increasing the curvature of the CSCSCP, reducing the stud spacing and increasing the stud diameter are helpful to improve the explosion resistance of the CSCSCP. Two empirical formulas of mid-span maximum displacement, steel plate’s thickness (concrete’s thickness) and explosion charges of the composite plate are obtained according to nonlinear regression.

Education, as a key factor in promoting human capital accumulation and social development, has a significant impact on entrepreneurs’ well-being. Based on human capital theory, status attainment theory, and social capital theory, this study utilizes cross-sectional data from the 2021 Chinese General Social Survey (CGSS) to deeply explore the mechanism of how educational attainment affects entrepreneurs’ well-being. The results show that educational level can significantly and directly enhance entrepreneurs’ well-being. Further analysis reveals that educational level influences entrepreneurs’ well-being through three mediating variables: income, perceived social status, and social interaction. Among these, income has a negative impact on entrepreneurs’ well-being, while perceived social status and social interaction have a positive impact. Additionally, the study finds significant differences in the impact of educational attainment on entrepreneurs’ well-being across different age groups, household registration status, and entrepreneurial motivations. These conclusions provide a strong basis for universities to carry out targeted entrepreneurship education and for the government to formulate refined entrepreneurship policies.

This study explores the role of multi-ball training in table tennis training on the development of motor skills. By outlining the definition and principles of multi-ball training, as well as the classification and implementation methods, the impact of multi-ball training on the technical level and psychological quality is further analyzed. The research results show that the multi-ball training method can improve athletes' serving, receiving, and attacking skills, as well as cultivate their ability to concentrate, react quickly, make decisions, and resist pressure. When implementing multi-ball training, it is necessary to develop a reasonable training plan, select appropriate environments and equipments, and consider the personalized needs of athletes. Future research can combine technological means for training, introduce customized methods, and further explore the improvement and innovation of multi-ball training methods.

To address the challenges of overall blurriness and structural inaccuracies in few-shot Chinese font generation, a deformable generative network that integrates channel-prior convolutional attention and depthwise separable convolutions is proposed. The network architecture which builds upon the foundation of deformable generative networks is enhanced with channel-prior convolutional attention and depthwise separable convolutions to capture global features better and ensure accurate structural generation of Chinese font characters. Comparative evaluations against four classic models, DG-Font, DG-Font++, MX-Font, and CF-Font, demonstrate that the proposed method excels in metrics such as SSIM (Structural Similarity Index Measure) and FID (Fréchet Inception Distance). Furthermore, ablation experiments validate the effectiveness of the proposed network model. The experimental results demonstrate that the proposed network model effectively mitigates the issues of overall blurriness and structural errors in few-shot Chinese font generation.

In response to the limitations in accuracy and resolution of existing key node identification methods, an improved K-shell ranking method is proposed. This method builds on traditional K-shell decomposition, integrating node degree, neighboring node influence, edge weights, and information entropy theory to refine the relative importance of nodes within the same K-shell level. Experimental results show that this method significantly improves the accuracy and monotonicity of rankings, effectively distinguishing the importance of nodes within the same K-shell level and accurately identifying key nodes with substantial network impact. This algorithm considers from multiple dimensions that affect the importance of key node identification, significantly improving accuracy and resolution. It holds great significance for the mining of key nodes in network anonymity and privacy protection.

Career education is an important link between job seeking and recruitment, also an important link between the education system and the labor system. It involves the problem of graduates' adaptation to the labor system and it relates to their adaptation to the entire social environment. Therefore, the career system should play a multidimensional and comprehensive role in shaping people. From the perspective of structural functionalism, through comprehensive examination of various systems, it can be found that these systems not only play their respective functions in career education, but also work together in the process and results of career education through integration between systems. By comprehensively examining the development process of career education in China since modern times, it is helpful to gain corresponding insights and propose relevant countermeasures from different levels.

This article takes the core course "Structural Mechanics" in engineering as an example to explore how to rely on the green classroom ecology to carry out course construction under the background of top-quality course construction. By transforming educational and teaching concepts, emphasizing student-centered approaches, we aim to achieve a transformation between teaching and learning. Integrate teaching content and resources and design diverse learning activities to cultivate students' advanced thinking and innovative abilities. To build a systematic teaching mode, the 3F model of pre-class guidance, in-class discussion and post-class expansion is used to promote the improvement of teaching effectiveness. Reform the teaching evaluation system, achieving formative evaluation throughout the entire process and comprehensively assessing the learning outcomes of students. Through these measures, we explore the closed-loop design of the construction of the "Structural Mechanics" course, which promotes the improvement of course teaching quality and assists in the cultivation of applied talents in China's engineering field.

A path-enhanced multi-hop question answering method based on knowledge graph embedding is proposed. A "comparation-aggregation" framework is constructed, which can enhance the question-to-answer path to solve the problem of poor question answering effect caused by not making full use of the path and natural language question answering order in previous models. Different comparison functions are designed in this paper, and SUBMULT+NN is chosen as the comparison function. Experiments were carried out on MateQA and WebQuestionsSP, two benchmark question-and-answer datasets in open fields. Compared with previous multi-jump question-and-answer methods, the results are improved on the complete knowledge graph and excellent on the incomplete knowledge graph.

Ningxia goji berries have always enjoyed high reputation in the Chinese goji berry industry and are the main producing areas. Ningxia goji berries are not only supplied to the domestic market, but also an important export commodity. To improve the export competitiveness of Ningxia goji berries, it is necessary to study the production and export situation. Compare and analyze a series of indicators to evaluate the export competitiveness level of Ningxia goji berries. Taking measures to improve the export competitiveness of Ningxia goji berries in response to some restrictive factors affecting their export.

Based on the panel data of 27 cities in the Yangtze River Delta from 2011 to 2021, this paper applied location entropy and super-efficiency SBM model to estimate the level of financial agglomeration and urban green development of each city in the Yangtze River Delta, constructs a coupling coordination degree model of the two systems, and analyzes the spatial-temporal coupling characteristics between the two systems.The research findings show that the financial agglomeration level has been increasing over time, with the gap gradually narrowing. The spatial distribution of urban green development levels is uneven, and the gap between cities becomes increasingly prominent with the passage of time.The two systems exhibit high coupling and low coordination forming Shanghai, Nanjing, Hangzhou and Hefei as high-value centers, spreading from high to low to all around, and spreading from high to low to the surroundings.The difference in coordination value shows a "U"-shaped trend, first decreasing and then increasing, and the differences between cities have become more apparent.Therefore, it is necessary to strengthen the information exchange between the central city of the Yangtze River Delta and the surrounding cities, give full play to the spatial spillover effect of the central city to drive the development of the surrounding areas, and thereby promote the coordinated development of the two systems of the Yangtze River Delta urban agglomeration.

The construction of child-friendly cities in China is receiving increasing attention. This paper examines Dalian's strengths in its effors to become a child-friendly city, including its robust economic base, friendly social environment, and strong policy support. Meanwhile, this research identifies several areas for improvement, such as the deficiencies in public services, infrastructure, and children’s active participation in development. To address these issues, the paper suggests adopting a child-first approach, enhancing child-friendly public services, improving the inclusivity and welfare systems for children, and upgrading the quality of urban space. Hopefully, implementing these strategies will boost Dalian’s development as a child-friendly city.

This paper investigates the phenomenon of Unethical Pro-organizational Behavior (UPB), where employees engage in unethical acts to benefit their organization. It aims to understand theoretical mechanism driving such behavior and its consequences in the digital context. This paper reviews existing main research on unethical pro-organizational behavior, explores its concept and characteristics, and identifies four key mechanisms influencing its occurrence: social exchange, social identity, social cognition, and social learning. Building upon this foundation, a research model based on contingency theory is proposed to examine the individual and organizational consequences of unethical pro-organizational behavior. The study sheds light on the factors that contribute to employees engaging in unethical behavior for organizational gain. It proposes a model that explores the consequences of unethical pro-organizational behavior. By identifying its antecedents and consequences, the study provides valuable insights for organizations to manage and prevent such behavior, ultimately promoting ethical and responsible conduct within the workforce.

The Mongolian epic Jangar has a grand geospatial structure. The geographical narrative is not only a typical feature of Jangar, but also an important component of the oral formula of Jangar. By using Geocriticism that has emerged in recent years to explore the narrative logic of Jangar, and analyze places, spatial structure and literary drawings in the epic, it can not only show the real-life basis of the epic Jangar, but also discover the worldview and cosmology of the Mongols contained in the epic, to show the cultural connotation of the epic Jangar.

Digital platform has become an important foundation for the development of the internet economy. The potential power of internet platform not only broadens the consumption channels of the public, but also drives the transformation and upgrading of platform enterprises. Because the free pricing model, dynamic competition and network externalities of internet platform enterprises differ from the traditional enterprise economy, the platform anti-monopoly phenomenon appears. The attribute construction of internet platform enterprises, the identification of relevant markets and market dominance all have an impact on the identification of abusing market dominance. Therefore, we should follow the responsive regulatory approach, implement classified supervision on internet platform enterprises, constantly improve the identification ideas, and accurately regulate abusive behaviors, so as to ensure the smooth operation of internet platform enterprises.

This study firstly analyzes the macro background of the literature review. Secondly, this study analyzes the development status of economic cooperation between Dalian and major economies in Northeast Asia from two aspects of foreign trade and attracting and foreign investment. Thirdly, the empirical analysis of the economic and trade cooperation between Dalian and Northeast Asian countries is conducted by gravitational model. the results show that the value of import and export between Dalian and Northeast Asia countries are positively correlated with the GDP of Dalian city and Northeast Asia countries , but negatively correlated with the distance between Dalian and Northeast Asia countries; Dalian attracting FDI has a significant positive effect on the export of Dalian to Northeast Asia countries; if the Northeast Asian country is also a RCEP member, it will have a significant promoting effect on Dalian’s imports from that country. Finally, the corresponding countermeasures and suggestions were proposed.

The educational concept of the "Great Ideological and Political Course" has put forward higher requirements for the construction of ideological and political theory courses in universities. Our study aims to find strategies and means to improve the teaching quality from five dimensions, namely, enhancing students' subjective initiative, improving the effectiveness of classroom teaching, promoting the innovation of practical teaching mode, improving the scientific evaluation system, and strengthening the construction of ideological and political courses teachers. Actively promote the integration and coordination of ideological and political courses with various educational resources in educational and teaching practice, and promote the high-quality development of ideological and political courses.

Accelerating the common prosperity of the upper reaches of the Yellow River is the top priority of the national strategy. Empowering farmers and herdsmen with skills is an important way to promote the revitalization of rural talents and agricultural and rural modernization. It is of great significance to study the influencing factors of farmer's and herdsmens training and sharpen their skills for farmers to increase their income and get rich. In this study, 743 questionnaires and interview materials were obtained through the skills training of farmers and herdsmens in 18 counties in the upper reaches of the Yellow River. By using principal component analysis, it was found that factors such as age, experience in skills training, family size, marital status, and arable land per capita have a greater influence on farmers' willingness to receive skills training than other elements. Among them, the training includes there is a positive correlation between family support, whether the technical training you have learned now meets the needs, whether there will be opportunities to make money after training, and whether the training content will be applied in the future. This paper puts forward the countermeasures of carrying out skills training extensively, making skills training plans according to the needs, consolidating the results of skills training, and establishing long-term training mechanisms.

Taking the first employee vocational skills competition in 2023 Liaoning Province as an example, this paper elaborates on the significance of the competition in helping the construction of the periodic editorial team. It is pointed out that the purpose of the competition meets the needs of editorial team construction, that is, to reflect the requirements of editorial work, promote the stability and development of editorial team, and explore the "training + competition" model of editorial team construction; competition to enhance the overall quality of the participants, mainly reflected in the preparation, on-site answering and communication outside the examination room and so on; the post-competition effect, incentive effect, radiation effect and enabling effect continue to help the construction of the journal team.

When a high-speed train passes the trackside acoustic detection system, there is a certain distance between the train bearing sound source and the microphone, which makes the collected signal and the actual sound source signal have certain differences. This leads to many technical difficulties in signal processing of acoustic detection technology. The existing trackside acoustic detection system is difficult to carry out continuous analysis and debugging on site. Therefore, based on the existing trackside acoustic detection system, this paper built a trackside acoustic detection experimental platform. The platform can simulate the movement of the train bearing acoustic signals under low-speed loading conditions, and the acoustic signal acquisition, storage and analysis. Through static and dynamic experimental comparative analysis, the results show that the structural design of the trackside acoustic detection experimental platform is reasonable. The system is reliable, which can be applied to trackside acoustic detection experiments.

The kiwifruit industry faces a significant threat from bacterial canker disease caused by Pseudomonas syringae pv. actinidiae (Psa). This disease poses serious risks to kiwifruit crops, necessitating urgent attention within the industry. Current strategies for managing kiwifruit bacterial canker primarily rely on chemical control methods, including copper-based agents, antibiotics, and plant activators, which exhibit inherent limitations. Recent research indicates that certain microorganisms possess the capability to mitigate the impact of this disease by inhibiting the growth and dissemination of Psa. This article comprehensively reviews the pathogenic mechanisms, transmission pathways, chemical and biological control approaches for kiwifruit bacterial canker, besides advices about prevention and treatment of this disease are put forward.

In view of the environmental monitoring needs of workshop manufacturers for a large number of workshops, the industrial Internet of Things technology combined with multi-sensor data fusion algorithm is used to monitor the workshop environment in real time. The data collection terminals are arranged at each workshop collection point to collect the workshop environmental data in real time, and the workshop environmental data collected by the terminal is transmitted to the edge gateway through Lora wireless communication, and then the multi-sensor data fusion algorithm is deployed at the edge gateway, and a multi-sensor data fusion method with two-level fusion is proposed, which aims to improve the accuracy and reliability of multi-source data fusion. The experimental results show that the system runs stably, the monitoring effect is ideal, and the results of the fusion algorithm can reflect the environmental conditions of the workshop, which provides an effective solution for the environmental monitoring of the enterprise workshop.

By analyzing the characters and plot of Saul Bellow’s novella “Cousins”, this paper elucidates Bellow’s communal ethics—how individuals seek and construct their identity and sense of belonging within a community, the pivotal role of culture and wisdom traditions in shaping community identity, and the necessity for members within a community to share responsibilities and care for each other. It argues that Bellow’s depiction of community transcends mere familial or geographical ties, embodying a deep integration based on shared culture, history, and values. It highlights the significance of Bellow’s communal ethics in preserving cultural continuity, deepening the connection between individuals and the community, and advancing the common welfare of humanity.

To address the challenge of Stone Drum Inscription recognition, we propose a multi-scale fusion recognition network and conduct single-character recognition experiments using a self-constructed Stone Drum Inscription dataset. The network incorporates coordinate attention as an attention module within EfficientNetV2-S, which enhances the accuracy of Stone Drum Inscription recognition. The introduction of a multi-scale fusion module enables the extraction of global features of Stone Drum Inscriptions at different scales, which are integrated into the recognition network. This approach improves the model's generalization capability, thereby enhancing its ability to recognize replica versions of Stone Drum Inscriptions. Experimental results demonstrate that the network achieves a recognition rate of 96.76% for the original Stone Drum Inscription rubbings and 90.12% for Wu Changshuo replica versions. The study proves that this network outperforms other networks in recognizing both the original and replica Stone Drum Inscriptions, effectively addressing the recognition challenges in real-world applications. Additionally, the self-constructed Stone Drum Inscription dataset provides valuable data support for future research related to Stone Drum Inscriptions.

Aiming at the problem of unbalanced DC side voltage of cascaded STATCOM under the condition of unbalanced system voltage caused by unbalanced load in wind power grid connection, a technical method of voltage hierarchical control to realize DC side capacitor voltage equalization is proposed.The LCL-type cascaded STATCOM structure has positive and negative sequence components of the system voltage under unbalanced load conditions.Therefore, the generalized second-order integrator method can be used to separate the positive and negative sequence components.On this basis, the positive and negative sequence voltage and current double closed-loop control can achieve global voltage stabilization control.At the same time, the method of injecting zero-sequence voltage is utilized to achieve inter-phase voltage equalization control, and the method of error superposition is used to equalize the voltage in the phase, which greatly improves the system voltage imbalance caused by load imbalance.The simulation results show that the method can realize the dynamic compensation of voltage and improve the grid-connected stability of the system.

Plasma activated camellia seed oil (PACO) was prepared by wire to cylinder dielectric barrier discharge plasma interacted with camellia seed oil. Combined with the imaging by ICCD camera of the interaction process between plasma and camellia seed oil, the diagnosis of plasma active species by emission spectroscopy, as well as the analysis of PACO physicochemical properties by chemical analysis, the mechanism of the interaction between plasma and camellia seed oil, the bactericidal activity of PACO and its stability were explored. After discharging for 4 h at 16 kV and 6 kHz with He and O₂ gas mixtures as carrier gas, the physiochemical properties of PACO prepared in the case by placing the plasma nozzle in the oil (PACO-4h) changed obviously. Compared with the untreated camellia seed oil, the iodine value of PACO decreased from 84.5 g·100 g^-1 to 72 g·100 g^-1, while the peroxide value increased from 0.5 meq·kg^-1 to 164.3 meq·kg^-1, and the acid value increased from 2.1 mg·g^-1 to 5.5 mg·g^-1. PACO-4h has strong bactericidal activity against E. coli and S. aureus. The diameters of bacteriostatic rings are 15.04 mm and 14.53 mm, respectively. After being stored for 3~15 days, it still has strong bactericidal effect. In addition, PACO has obvious bactericidal activity against common pathogenic bacteria, such as P. aeruginosa, Salmonella and C. albicans.

In the process of using deep learning to assist computer character libraries in generating Chinese characters, there are often problems such as stroke sticking, stroke errors, and insufficient style details. To improve the quality of the generated model, this article combines the actual needs of the font design industry to construct a stroke annotation dataset containing 71 strokes and 1960 Chinese characters. This dataset covers Chinese characters with different structures and complexities, and 71 strokes are categories extended based on the 32 stroke categories in GB13000.1 standard and industry practice. This article uses the Labelme tool to manually annotate the dataset, and converts the JSON data generated from annotated Chinese character images into VOC format, ultimately obtaining an 8-bit stroke image dataset. This dataset is tested by FCN, U-Net, and SegNet. Compared the original images with the predicted results, it shows good prediction performance. And the values obtained from the evaluation indicators MPA, MIoU, and FWIoU are all good, which also proves the effectiveness of the dataset.

As China's urban development enters a deeper stage, the park landscape of Xiangying Park in Dalian, which was formed in the mode of rough growth, has revealed problems that are out of step with the development of the times and people's needs. The study quantitatively analyzes the park landscape from the perspectives of site function, site structure, and site circulation, and describes the current situation and existing problems of the park landscape. It proposes to use the theory and method of landscape narrative to revive or elevate the cultural spirit of the site, awaken users' memories and evoke emotional resonance, construct a bond between space and people, and enhance the sense of behavioral experience. This paper can provide corresponding strategies for the rational update and optimization of urban public spaces.

This paper expounds the significance of strengthening the combination of student party branch construction and ideological and political education in private colleges and universities in the new era, which is conducive to building the ideological and political pattern of "three-dimensional education", better implementing the fundamental task of establishing morality and cultivating people, and promoting the improvement of the comprehensive quality of college students.The results of the questionnaire survey of the party members of the three grades of college students in a private vocational college in Guangzhou show that the combination of the construction of student party branches and ideological and political education has problems such as weak ineffectiveness, insufficient attractiveness, and insufficient coordination.In view of these problems, the path of innovating the concept of integration, enriching the form of integration, and improving the integration mechanism is proposed, so as to realize the double improvement of the quality of student party building work and talent training.

In today's society where globalization and information technology are becoming increasingly advanced, changes in cultural concepts have a profound impact on college students’second language acquisition , which poses new challenges and requirements for educational practice. This article starts from the background of changes in modern social and cultural concepts, and explores in depth the impact of these changes on college students’ second language acquisition , as well as how educators can adjust their teaching strategies to adapt to these changes. Specific strategies include promoting cross-cultural communication and understanding, cultivating students' cultural adaptability, and utilizing technological tools to support second language acquisition and cultural education, aiming to improve the effectiveness of second language teaching and promote the comprehensive development of students.

This paper proposes a method for comparing calligraphic fonts based on t-SNE (t-Distributed Stochastic Neighbor Embedding) dimensionality reduction,sparse learning feature extraction,and Euclidean distance similarity analysis. First,t-SNE is used to reduce the dimensionality of high-dimensional font sample data,revealing their underlying manifold structures. Next,sparse learning is employed to extract key features from the reduced data,further characterizing the stylistic traits of the three fonts. Finally,Euclidean distance is applied to calculate the similarity between different fonts,quantifying the similarities and differences in calligraphic styles. Experimental results show that the fonts,Cuanbaozi,Lishu and Kaishu exhibit unique distribution characteristics in the manifold space,while significant overlaps are observed in certain regions,confirming their stylistic similarities in calligraphy.