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Horqin Grassland is located in Tongliao city in the northeast of Inner Mongolia, and was once divided into six banners of Horqin left and right (front, middle and back). In Mongolian, Horqin is pronounced “Khorchins”, meaning “the archer”. “Aoji” means the long waistcoat or shoulder-length long coat. “Aoji” of Mongolian women in Horqin is made of black satin fabric and decorated with kujin and brocade at the edges. The embroidery patterns mainly based on flowers on Aoji are highly identifiable and representative, and are in sharp contrast with the clothing styles of other Mongolian tribes. This paper used the ethnological field investigation method to interpret the decorative features of female Aoji in Horqin from the aspects of style structure, color features, decorative forms and pattern meanings, based on the physical samples obtained through the field investigation and related literature. Three important conclusions are drawn from the research. First, Horqin Mongolian females’ Aoji is based on the cross-shaped structure of traditional Chinese clothing, forming a local decorative feature with the cross-shaped center as the angle of view. The pattern composition form of “dot”, “line” and “face” presents a strong contrast of “emptiness” and “fullness”, “virtuality” and “reality”, as well as “complexness” and “simpleness” in a seemingly “no order” composition distribution. Second, although the decorative patterns dominated by flowers are limited by the embroidery space, the embroidery form of “full” embroidery in the embroidery surface constitutes a clear, harmonious and orderly pattern layout, highlighting the local people’s aesthetic preferences of “fullness” as beauty and “abundance” as value, and reflecting the unique intelligent beauty and perceptual beauty displayed by Horqin Mongolian females’ Aoji in the decorative form. Third, the embroidery patterns dominated by flowers in Horqin Mongolian females’ Aoji mainly originated from nature. Such flower decoration is not only a local description of the natural landscape, but also contains their worship of nature and love and longing for a better life, reflecting the local Mongolian’s love and recognition of the grassland culture and ethnic memory. In this decorative form dominated by flowers, a decorative form with “fullness” as beauty is formed, and the overall sense of balance and stability of Aoji is set off by the decorative way of “filling” the part, so as to constitute the aesthetic similarity psychology of “fullness” as beauty and “abundance” as value in the decorative structure of Horqin Mongolian females’ Aoji. Through the research, it is found that the current academic studies on the Mongolian costumes in Horqin mainly focus on several aspects, such as embroidery craft, pattern implication, inheritance and development. Such studies provide a solid foundation for the protection of the Mongolian costume culture in Horqin, but they fail to dig deeply into the inner meaning and cultural value of the costumes from a macro perspective. Therefore, through in-depth collection, sorting and analysis of the overall characteristics of Horqin Mongolian costumes, based on previous studies, this paper focused on Aoji worn by local women, and tried to explain the artistic implications and cultural values behind it from the perspectives of style structure, color features, decorative forms and aesthetic features. At the same time, according to the shape characteristics of Aogi, the paper analyzed the decorative organization characteristics of Aogi from the angle of the front part. Aiming at the floral pattern composition of Aogi, this paper interpreted the perceptual beauty conveyed in its aesthetic implication. This unique decorative form, which “takes the image from nature” and focuses on flower embroidery, is not only the life practice formed in the cultural exchanges between Horqin Mongolian people and other nationalities, but also the true portrayal of nature and beautiful life and reflects the unique aesthetic and wisdom of Horqin Mongolian people. In addition, it is found through the field investigation that although the decorative form of Aoji dominated by flowers is limited by the embroidery space, in the limited embroidery space, it seems that flowers, leaves and branches are piled up “randomly”, but in fact, they are reasonably distributed through the winding combination of flowers, leaves and branches. This “free” combination form makes the local decorative embroidery patterns more diverse, so that the whole and the local Aoji show full, unified and orderly pattern matching characteristics. [ABSTRACT FROM AUTHOR]

As a traditional pattern in China, the birds-hooking-flowers pattern was widely used in all kinds of textiles in the Tang Dynasty. And thanks to the the Silk Road, the Tang Dynasty communicated frequently with other countries, so that distinctive arts and cultures, technology and crafts were spread to the Central Plains from eastern areas, which had influence on the emergence and evolution of fabrics with birds-hooking-flowers patterns. On the basis of collating archaeological objects and combing through historical documents, this paper made a comparison between the birds-hooking-flowers patterns in the Tang Dynasty textiles and other crafts with birds-hooking-flowers patterns in Central and Eastern Asian for origin tracing. Moreover, the paper explored the changes by longitudinal comparison and analysis of local birds-hooking-flowers patterned fabrics of the Tang Dynasty. This paper drew three main conclusions. Firstly, the birds-hooking-flowers patterns in textiles of the Tang Dynasty were formed under the influence of the Western beribboned bird pattern and the weft pattern weaving technology. Secondly, the birds-hooking-flowers patterns in textiles of the Tang Dynasty showed the evolution process of imitation, innovation and finalization. The patterns showed a stylistic change from dullness to liveliness throughout the whole Tang Dynasty: (i) the first stage of the development of birds-hooking-flowers patterns was influenced a lot from the Sassanid Persian style, and it was the imitation stage of birds-hooking-flowers patterns for the absorption. And the patterns showed as a dull pair of birds standing on the platform composed with flowers or pearl-linked patterns. Besides, the external part was usually decorated with the pearl-linked skeleton roundel; (ii) during the period of prime Tang Dynasty to middle Tang Dynasty, the birds in the were mostly Chinese native ones, with things in their beaks being a symbol of the good wishes. In the aspect of composition, the skeleton of the early boundaries were gradually broke through and the birds showed the dynamic style of flying up high; (iii) from the late Tang Dynasty to the Five Dynasties, the patterns experienced the evolution of localization. The birds-hooking-flowers patterns often showed the combination of a winged bird and a S-shaped long-stemmed twig, which had the similar traits with the bird-and-flower paintings of the same period. Thirdly, the evolution of the birds-hooking-flowers patterns in the Tang Dynasty textiles can be divided into the development patterns of the bird surrounded by pearl-roundel and the bird standing on the platform. The form of the former was influenced by Ling Yang Gong sample, so that the pattern retained the appearance of the roundel skeleton, and pearl-linked motifs were replaced by plant motifs. Later, the skeleton became non-closed circular trajectory to imitate the previous skeleton; The latter pattern was gradually manifested by a single flying bird hooking a twig. And the bird increasingly broke through the boundaries of the flower platform and presented the dynamic posture. Furthermore, the proportion of plant elements increased a lot in the whole pattern, which reflected the aesthetic idea of placement of the landscape. This paper systematically collects, collates and analyses the textiles decorated with birds-hooking-flowers patterns in the Tang Dynasty. And from the perspective of the Silk Road, it traces the source of the motifs, weaving techniques and cultural origins, and explores the changes in the form. The paper gives a view to filling the gap in the study of the birds-hooking-flowers patterns in textiles of the Tang Dynasty. [ABSTRACT FROM AUTHOR]

With the rise of the sports boom and the promotion of health awareness, female consumers’ demand for sports bras is increasing, and sports bra products have attracted the attention of the sports industry and the underwear industry. Traditional sports brands and lingerie brands such as NIKE, Under Armour, Triumph, and AIMER have launched sports bra product lines, and independent sports underwear brands such as Lorna Jane and YVETTE have grown rapidly, so the market competition is increasingly fierce. However, with the improvement of people’s living standards, consumer demand for sports bras has become more diverse and variable. As a result, homogeneous sports bra products can no longer satisfy consumers. Therefore, how to dig the explicit and implicit demand, so as to help enterprises to improve the quality of goods and services is an urgent problem to be solved. In the era of big data, the analysis and mining of user information data has become an important way to obtain user needs and track market conditions in various industries. Among them, online reviews are one of the important carriers of user demand information, and through effective analysis of online review data and extraction of core comment words, we can understand the pain points of products or services and help enterprises evaluate the differences of products and services, and guide the improvement of product design and service quality. To deeply explore the user demands of sports bras, this paper took online reviews of sports bra products as the research object, proposed a research framework based on the BTM model and Kano model, effectively combined two methods of data mining technology and questionnaire survey, and carried out research from the three parts of user demands mining, user demands analysis, and suggestions and countermeasures. This study took Taobao and JD as the collection platforms, selected 10 representative sports bra brands, and crawled 16 248 online reviews using Python language. The BTM model was used to identify the topic, and the number of topics and related topic feature words obtained were used to form the user demand elements of sports bra which contained 6 first-level indicators and 23 second-level indicators. Then, through Kano questionnaire survey and model analysis, the satisfaction index SSI and dissatisfaction index DDSI were established, and the relationship between demand satisfaction and user satisfaction was analyzed to determine the attribute classification of user demands. Furthermore, the requirement degree ω was introduced to further subdivide the importance degree of each requirement element in the same class attribute, and the priority order of user requirements was obtained. The research results show that the user demand dimension of sports bras includes six aspects: functional quality, style design, fabric material, color appearance, service quality, and brand marketing; among the 23 elements of user demand, there are 4 must-be qualities (M), 10 one-dimensional qualities (O), 3 attractive qualities (A), and 6 indifferent qualities (I); according to the priority order, comfort and shock-proof function are the primary factors to establish user satisfaction, bottom circumference, cup size, fabric feel, and breast cushion material are the key factors to improve user satisfaction in product optimization, while customer service attitude, return and exchange service, reputation and word of mouth, and product information are the important factors affecting user satisfaction in service and marketing. This paper realizes the attribute classification and priority ordering of sports bra users’ needs by effectively using online review information and combining with BTM text mining technology and the Kano model, providing a new perspective and a new method for the research of sports bra users’ needs. At the same time, based on the research results, optimization suggestions are put forward from the three aspects of product development, user service and brand marketing, which provides theoretical reference for related enterprises to improve product value and market competitiveness. In the subsequent research, the emotional tendencies of users on different demands will be studied, and the sentiment analysis technology will be used to identify online reviews, so as to locate user demand more accurately and comprehensively. In addition, user demand for sports bras will be affected by factors such as age, exercise frequency, exercise duration and exercise intensity. In the future, the differences in user demand for sports bras under various factors, as well as the correlation degree between each factor and user demand will be further analyzed, so as to provide theoretical reference and basis for the differential design, precision marketing and classification refinement of sports bras. [ABSTRACT FROM AUTHOR]

How to manage the mining activities in nature reserves is a common issue faced by countries with mining industries. The planning of protected areas has long existed in these countries, and many policy adjustments have been made to meet the need to balance the protected areas and the mining areas, which provides experience for China to further differentiated management of mining rights in nature reserves. Taking the United States, Australia, Canada, Finland and other countries as examples, this paper summarizes the management modes of mining activities in nature reserves in different mining stages, such as mining right authorization, mining operation and mining right withdrawal. The paper concludes the common characteristics from four aspects: national reserve planning, legal system, organization construction and management mechanism. At the same time, combined with the contradiction between the ecological red line and mining activities in China, suggestions are put forward. [ABSTRACT FROM AUTHOR]

Ultrasound has been gradually applied to the field of cerebral small vessel disease (CSVD) due to its unique advantages. This paper summarized the studies related to ultrasound in CSVD, and summarized the relationship between CSVD and various evaluation indicators of vascular ultrasound. What’s more, this paper described the role of ultrasound in the evaluation and diagnosis of multi-system diseases such as heart, brain, and kidney coexisting with CSVD, and provided a theoretical basis for comprehensive and effective evaluation of CSVD by ultrasound. [ABSTRACT FROM AUTHOR]

Aiming at the source of farmland backwater and the characteristics of farmland retreat water pollution, this paper summarizes the domestic and international source control measures and ecological purification technology that can be used to treat farmland retreat water. After years of development and application, source control measures can reduce the amount of receding water and receding water pollution load at the source, which is a key strategy to control retreat water・ Ecological treatment technology has become the best retreat water treatment method available in rural areas because of its ecological benefits, construction costs and other advantages・ This paper summarizes the existing non-point pollution treatment modes, and provides a kind of ecological retention and purification of farmland retreat water treatment ide-血, and finally looks forward to the future development direction of farmland receding water treatment technology and provides reference for the future management of farmland retreat water. [ABSTRACT FROM AUTHOR]

Overseas military bases, a very important strategic fulcrum, are the forefront of a country's military operations and safeguarding national interests outside the country. In different periods, the contraction and expansion of overseas military bases can reflect the country's space strategy and growth laws. This paper analyzes the evolution of the space-time pattern of military bases outside the United States from the end of the 19th century to the present, summarizes the existing organizational models, and reveals the internal dynamics of the evolution of overseas bases. The study finds that the evolution of military bases outside the United States has gone through five major stages. The first stage is the slow westward extension of the Pacific Ocean, the second stage is to accelerate the eastward entry into the Atlantic Ocean, the third stage is the east-west expansion in both directions, the fourth stage is an extensive global layout, and the fifth stage is a comprehensive reduction and layout adjustment. In the process, the spatial location of military bases outside the United States has formed three main types, including island type, continental coastal type and inland type. The overseas military bases of the United States have realized the coverage of key strategic channels in the world, and the military radiation to major countries and important sea areas through the coordination of base groups and the configuration of forces and arms. Finally, based on the military, political, and economic dimensions, this paper reveals the dynamic mechanism of the evolution of the military base structure outside the United States from the aspects of national homeland security, geostrategic evolution, diplomatic relations with major countries, and energy and transportation. [ABSTRACT FROM AUTHOR]

Poverty is at the forefront of Africa's efforts to achieve the United Nations' 2030 Sustainable Development Goals (SDGs). China's aid to Africa takes poverty eradication as its starting point and goal. Does the spatial distribution of China's aid to Africa take into account the spatial distribution of Africa's poor population? This paper used "Aid Spatial Difference" to measure the difference between the spatial distribution of China's aid to Africa and the spatial distribution of the poor population in Africa. Based on the geocoded data of China's aid to Africa and the population data of Africa from 2000 to 2014, this paper adopted Standard Deviation Ellipse method to analyze the spatial-temporal evolution relationship between China's aid to Africa and African poor population. This paper tested that spatial-temporal evolution relationship from two perspectives, the number of aid projects and the amount of aid. This paper finds that the spatial distribution of China's aid to Africa favors Africa's poor population. It is especially prominent in the location of aid projects, the growth rate of aid to Africa and the change of the gravity center of aid amount. This is consistent with China's purpose of prioritizing poverty eradication and helping Africa to achieve the UN's 2030 SDGs. [ABSTRACT FROM AUTHOR]

The Arctic Passage connects the most strategic and economically developed regions in the world, and its opening is of great strategic significance. The geodetic region of Arctic Pas‐ sage can be considered from three dimensions: Arctic region, in-flight buffer, and route extension area. Based on the geodetic influence region of the Arctic Passage, this paper summarizes the globalization and grouping characteristics of the geopolitical pattern of the Arctic Passage. Based on the combination of distance and shipping income, this paper explores the combination of political actors based on countries, and puts forward the stereoscopic circle layer structure of the geopolitical pattern of the Arctic Passage: A five-tier structure inside out with different interests and positions centered on the Arctic Ocean. On the basis of the analysis of the shipping interests, propositions and policy systems of each circle structure, the relationship between the internal and external cooperation and competition among the circles is discussed. The analysis shows how to balance the inner-most Arctic Passage Coastal States' claims of "Internal hydration" and the institutionalized jurisdiction with the freedom of navigation in other circles will be the focus of future games, the competition and cooperation among and within the circles will gradually change with the change of resources and interests and the promotion of the process. [ABSTRACT FROM AUTHOR]

The rise of Artificial Intelligence Generated Content (AIGC) exemplified by ChatGPT heralds the arrival of a new era of AI, which will inevitably reshape the way people interact with information. In this evolving landscape, information literacy education in colleges is set to experience a profound restructuring of its content frameworks and instructional models. This paper provides a review of research and teaching practices related to information literacy education in the context of AIGC both domestically and internationally. It delves into the advantages and limitations of AIGC and examines the opportunities and challenges which poses to the field of information literacy education. Building on this analysis, the paper proposes innovative ideas for the advancement of information literacy education, encompassing two dimensions: the enrichment of instructional content and the transformation of teaching methods. [ABSTRACT FROM AUTHOR]

Objective This study aims to elucidate the international frontier research trends and literature distribution related to prostatitis and pathogenic microorganisms through bibliometric and visualization analyses. Methods Data were collected from the Web of Science core collection database. We searched and collected research papers related to prostatitis and pathogenic microorganisms published in the past 25 years, and conducted analyses of citation, co-authorship, co-citation, bibliometric coupling, and co-occurrence. Results A total of 512 research papers were included, of which the total number of papers published and total citations in the United States far exceeded those in other countries. Nickel from Queen's University was the most cited author and organization. The most cited paper was published by Krieger. The keyword "Escherichia coli" has been a research focus in this field from 2015 to present. Conclusions Our results provide a comprehensive overview of the development process, current situation, research hotspots and possible future directions of the research on prostatitis and pathogenic microorganisms. it is expected to provide accurate and valuable reference for researchers in related fields to carry out follow-up research work. [ABSTRACT FROM AUTHOR]

Adult stem cells are found throughout the body and play an important role in tissue growth, development, aging, and wound healing. Stem cell regenerations are tightly regulated in normal tissues. Abnormal stem cell regeneration is closely associated with many diseases such as malignant tumors, obesity, aplastic anemia, etc. Heterogenous stem cell regeneration within living organisms is a complex dynamical system behavior. The abnormal cell proliferation includes processes of establishing a new balance along with cell plasticity and cell-to-cell interactions. Il is a significant research topic to quantitatively describe the biological process of abnormal cell growth. This paper establishes a computational model of stem cell regeneration that incorporates proliferation and differentiation indicators of cells, as well as indicators of abnormal proliferation heterogeneity. Through the established model, the process of microenvironment changes - induced abnormal cell growth and the entropy evolution dynamics are studied. Moreover, the relationship between entropy dynamics and kinetic parameters under different proliferation conditions. Results show that during abnormal cell growth induced by microenvironmental changes, there exists a correspondence between entropy and the number of cells, which is independent of the pathway of microenvironmental changes. In addition, the dependence of entropy on cell number shows different behaviors during the abnormal proliferation and the recovery process, which suggests the irreversibility of the microscopic biological process. This paper presents a quantitative characterization of the entropy changes during abnormal cell growth through a physics perspective. Il provides a new research approach for quantitative studies of the heterogeneous stem cell regeneration process. [ABSTRACT FROM AUTHOR]

This paper explores the political writing of Eileen Chang (1920-1995) and elucidates her radical potential as a political-world writer. Despite being predominantly viewed as anti-Communist works, Chang's novels The Rice Sprout Song (1954) and Naked Earth (1954) possess complicated political dimensions. This paper examines the "politics of aesthetics" of the novels by analyzing their incisive critiques of power structures, the syntax of political ideology, and the collective conditions of life. Additionally, it highlights the novels' potential to engage in dialogue with contemporary political debates. This paper is divided into four parts. First, it analyzes how the novels depict the rule of law and police order in the "naked earth"; second, it shows the triplex power relations in the novels between ruling power, the people, and their lives; third, it reveals the origin and structure of "naked earth," embodying the theological regime of political authority; fourth, it argues that Eileen Chang responds to the world through political writing, fully establishing the contemporary value embodied by both herself and her novels, transcending geographical and temporal constraints. [ABSTRACT FROM AUTHOR]

In this paper, a new type of low frequency broadband perforated metamaterial sandwich plate is designed to suppress the transverse vibration between the plates. The unit cell of the structure is composed of the upper and the lower layer plates, spiral plates, cylindrical oscillators and support components. Among them, the spiral plate with four threaded holes is connected with the upper and lower plates through the support parts on both sides, and the oscillator is fixed at the center of the plate by bolts. The finite element analysis of the cell is carried out by COMSOL Multiphysics, and the energy band structure and resonance mode of the infinite periodic structure are obtained. In addition, the transmission transmittance of the finite-period structure is calculated. The results show that the structure generate two wide band gaps of low frequency vibration, and the vibration attenuation is obvious in the band gap range. Furthermore, this paper unveils the mechanism of the band gap, optimizes structural parameters, achieves low-frequency coupling of the two band gaps, and provides band gap configurations that meet the practical engineering requirements. [ABSTRACT FROM AUTHOR]

In order to solve the problem of thermal conductivity test of large-size diamond, the ϕ100 mm sample holder of vertical mode and In-Plane mode was designed for the NETZSCH LFA467 HyperFlash instrument. The test results of the ϕ100 mm sample holder are proved to be credible from both principle and test results. From the theoretical analysis, it is concluded that the change of sample boundary conditions brought by the new sample holder has little effect on the test results. The thermal conductivity test results of the ϕ100 mm sample holder in the In-Plane mode are 6. 5% higher than that of the standard sample holder, and the thermal conductivity test results of the ϕ100 mm sample holder in the vertical mode are 3. 6% higher than that of the standard sample holder. The test results are still within the acceptable range. The ϕ100 mm sample holder designed in this paper can test ϕ100 mm samples at most, which helps to protect the integrity of samples. In this paper, the non-destructive testing of thermal conductivity of large-size diamond by laser flash method is realized. [ABSTRACT FROM AUTHOR]

Based on the panel data of 30 provincial administrative regions from 2011 to 2021, this paper empirically tests the impact of the livestock and poultry forbidden zone policy on the cost efficiency of beef cattle breeding in China with the help of double difference model. The results showed that the policy of the livestock and poultry forbidden zone had an obvious promotion effect on the cost efficiency of the beef cattle breeding industry in China, and the influence degree was 0.074. Transportation infrastructure, farmers' investment level, beef cattle slaughter rate, and economic development level all had a significant positive impact on the cost efficiency of beef cattle breeding, and transportation infrastructure had the strongest positive promotion effect. There are obvious regional differences in the impact of livestock and poultry forbidden area policy on the cost efficiency of beef cattle breeding, which was manifested in the stronger promotion effect on ordinary beef cattle producing areas. Therefore, the paper puts forward some policy suggestions, such as rationally delineating livestock and poultry forbidden areas, accelerating the improvement of transportation infrastructure and developing beef cattle breeding industry according to local conditions, so as to provide a useful reference for accelerating the high-quality development of the beef cattle breeding industry. [ABSTRACT FROM AUTHOR]

Based on the agricultural trade data released by the Ministry of Commerce, this paper uses the methods of literature research and statistical analysis to analyze the impact of trade friction between China and US on China’s agricultural trade and its future trend. The research draws the following conclusions: The friction has greatly reduced the trade of major agricultural products such as soybeans and cotton imported from the United States, the total trade of agricultural products and exports to the United States. At the same time, frictions are complex and persistent, and the trend of agricultural trade is difficult to predict. According to the research, this paper puts forward the following suggestions: first, promote the peaceful dialogue between China and the United States and build a trade environment;second, actively explore diversified agricultural products markets and prevent the risk of import concentration;third, promote the transformation of agricultural products trade and enhance international competitiveness;fourth, accelerate the reform and development of agricultural scientific research and adjust the structure of agricultural production. [ABSTRACT FROM AUTHOR]

Under the background of rural revitalization, even the superposition of multiple effects such as resources, market and policies, the development of rural leisure tourism in ethnic minority areas took up the “natural time” and “geographical” conditions, and at the same time, it faced the dilemma of “talents”. Talents have become the biggest weakness restricting the development of rural leisure tourism in ethnic minority areas. This paper analyzed the new opportunity and connotation of the development of rural leisure tourism in ethnic minority areas. Then it pointed out that the development of rural leisure tourism in ethnic minority areas needed five types of talents, including management talent, planning and development talent, cultural creativity talent, ecological protection and marketing talent. Based on the high-quality development of rural leisure tourism in ethnic minority areas, this paper put forward suggestions, for example perfecting the mechanism of education and training, constructing the system of education and training, innovating the way of education and training, and activating the power of education and training. [ABSTRACT FROM AUTHOR]

The sea area where the cross-sea bridge is located has the characteristics of deep water, high waves and high flow velocity, and the wave current force is one of the control loads of the foundation structure. In this paper, a calculation method for wave current forces of bridge foundations with complex bridge piers-cap-pile foundations was established by constructing a wave and flow model of pile foundation, bridge piers and cap structure, and combining with the results of wave and flow coupling flume model test. The method has reliable calculation accuracy and high calculation efficiency. The error between the model and the physical model is less than 10%, and the calculated value is slightly safe. The method proposed in this paper has been applied to the comparison and selection of foundation structures for the Dongwuyang cross-sea bridge, and a better design scheme has been obtained. The research results can be applied to the calculation of wave current force for similar cross-sea bridges and offshore wind power foundations, providing convenience for the comparison and selection of foundation structure schemes in the early stage of construction. [ABSTRACT FROM AUTHOR]

Gradient stiffened plates are widely used in aerospace, automotive, transportation and other fields for their excellent performance. Aiming at the gradient structure of gradient plate which leads to the problem of excessive computation and low efficiency of homogenization and two-scale optimization design, this paper adopts a machine learning method to build an artificial neural network with microstructure deformation parameters as input and equivalent stiffness coefficients as output, to realize the efficient prediction of equivalent stiffness. In the optimization process, this paper introduces unit design variables characterizing the deformation of the single cell to achieve explicit control of the local deformation of the gradient plate, and introduces mapping function node design variables to ensure that the local deformation of the single cell during the optimization process is consistent with the mapping function, which facilitates the decoupling of the twoscale optimization results. Numerical examples verify the effectiveness and correctness of the proposed method. [ABSTRACT FROM AUTHOR]

Roll forming is a plastic processing technology that gradually bends metal strips and sheets laterally using sequentially arranged forming dies. Due to its low cost, high efficiency, and flexibility, it has become one of the important technologies for light weighting, energy saving, emission reduction, and safety improvement in various fields such as new energy, aerospace, and rail transportation in China. However, the complexity and discreteness of the process, uneven material thickness properties, and low level of equipment informatization and flexibility automation have made it similar to a “black box”, making it difficult to predict product quality, highly dependent on manual experience for production debugging, limited in formable cross sections, and unstable in yield. Therefore, this paper proposes a data-driven intelligent roll forming equipment (system) and introduces in detail its technical architecture and characteristics. By building a data architecture based on artificial intelligence, this system collects, screens, integrates, stores, and analyzes discrete data in traditional roll forming. Meanwhile, it integrates digital twins, artificial intelligence, contour detection technology, and multi-agent collaborative control to construct a self-correcting production mode that can replace manual experience. For the new energy vehicle industry, this paper provides a case study of using this system to solve springback control of structural components of roll-formed battery packs. Finally, suggestions and prospects for the development of this system are given. [ABSTRACT FROM AUTHOR]

For the problem of underwater single- eye non- contact measurement of fish size, it is usually necessary to measure the distance of underwater fish to obtain the three-dimensional information of its surface, this paper proposes a fish distance measurement scheme based on the laser triangulation method and conducts research on underwater laser ranging technology. According to the principle of optical path, multiple parameters need to be measured for ranging, which makes the process complex, error-prone, and slow in calculation. This paper first corrects the distortion of the image and restores its authenticity through Zhang Zhengyou's calibration method. The OpenCv open-source library is used to recognize the laser contour on the surface of the fish body, and a self-defined algorithm improves the accuracy of contour recognition. Centroid analysis is applied to the laser contour to obtain the centroid coordinates of laser brightness. By analyzing the displacement relationship between the coordinates of the laser image points and the spatial coordinates, a polynomial regression model with a one- variable fifth- order is fitted to predict the distance, simplifying the parameters. The experimental results indicate that the laser center of gravity recognition is not continuous, but can accurately identify on the fish body. The average error of the ranging model is 5. 6 mm. In 80% of the tested samples, the error of the predicted results is within 7. 0 mm, and the maximum error is within 2 cm of calibration, which meets the required accuracy for fish body distance measurement. The research suggests that this method can provide reference for further acquisition of surface three-dimensional information of fish body size. [ABSTRACT FROM AUTHOR]

Light, including its spectrum, intensity, and photoperiod, is a crucial environmental factor in aquaculture as it regulates the endogenous rhythms of crustaceans and influences their growth,physiology,and metabolism. The aquatic environment in aquaculture directly impacts the propagation of light. When light reaches crustaceans, it is absorbed and scattered by the air and water, resulting in relatively weak light intensity. This paper provides a brief description of how light propagates in the aquatic environment and discusses the photoreceptor function of crustaceans. The aquatic environment absorbs and scatters light,which is then received by the compound eyes of crustaceans. This process subsequently influences the secretion of hormones in crustaceans. This paper highlights the effects of light spectrum,intensity,and cycle on the growth, development, behavior, feeding, survival, molting, egg laying, reproduction, and apoptosis-related gene expression levels of crustaceans. These findings provide theoretical references for aquaculture production. The study results indicate that blue light and green light have greater penetration in the aquatic environment, which benefits the growth, digestion, molting, and spawning of crustaceans. Crustaceans exhibit varying adaptability to light intensity, and the specific light intensity should be determined based on the culture method and species. For instance, Portunus trituberculatus shows the fastest growth under 800 Lx, whereas Penaeus chinensis grows most effectively under 300 Lx. During the spawning and reproduction stages,a low light environment facilitates crustacean ovary maturation and successful reproduction. Extending the light cycle appropriately (14L :10D or 18L:6D) promotes crustacean feeding, larval development, and ovary maturation. Clarifying the influence mechanism of light on the growth and physiology of crustaceans, as well as determining the optimal light parameters for each growth stage and critical period of development,holds significant practical implications for aquaculture production. Presently,China's aquaculture industry lacks accurate regulation of light parameters, indicating an immature application of light systems. Therefore, the future application of LED lighting in aquaculture represents an important step towards promoting the intelligent development of the fishery industry. [ABSTRACT FROM AUTHOR]

In analytical chemistry, performance evaluation parameters for quantitative analysis methods include the spiked recovery, relative standard deviation, calibration curve and its correlation coefficient, linear range, error bar, limit of detection, sensitivity, selectivity, stability, etc. A deep understanding and proficient application of the above parameters are fundamental competencies for professionals in analytical chemistry. However, less than half of the students possess an adequate grasp of these common evaluation parameters, and could not distinguish parameters with similar meanings from the questionnaire survey for most senior undergraduates and postgraduate students. This deficiency is attributed to existing textbooks that merely introduce basic concepts of these parameters without illustrating their practical applications. Additionally, no comprehensive literature has systematically presented examples of how to apply these parameters. This paper carefully selects multiple cutting-edge articles from the highly-cited journal Analytical Chemistry, to vividly and thoroughly explain the standard applications of each evaluation parameters, replacing the previous one-dimensional theoretical descriptions. The goal of this work is to guide students in gaining a deep, intuitive understanding of how to effectively evaluate analytical methods and results based on these parameters, and to enable proficient and accurate expression in future scientific research. This paper aims to serve as a reference for improving the scientific and practical aspects of teaching evaluation parameters. [ABSTRACT FROM AUTHOR]

Experiential education is widely recognized as an effective teaching method for nurturing students’ problem-solving abilities and fostering innovative thinking through hands-on activities. Furthermore, the field of 3D printing of alloy materials has garnered significant attention in the realm of electrocatalysis. This paper aims to synergize experimental education with 3D printing of alloys, exploring its impact on students and educational outcomes. Initially, the paper introduces the importance and role of experimental education and the characteristics and potential applications of alloy materials. Subsequently, the potential utilization of 3D printing technology in the fabrication of alloys is discussed. To enhance students’ engagement, learning motivation, and scientific literacy, they actively participate in designing and conducting experiments. The primary objective of this research is to provide novel ideas and methodologies for educational practices, cultivating students’ scientific thinking and practical abilities. Additionally, it aims to foster a greater number of innovative talents in the field of materials science and engineering. [ABSTRACT FROM AUTHOR]

Taking the organic chemistry experiment “Synthesis of Aspirin” as an example, this paper discusses the specific implementation measures of integrating ideological and political education into the organic chemistry laboratory course through five steps: determining ideological and political teaching objectives, mining ideological and political elements, selecting ideological and political carriers, conducting ideological and political practice activities, and conducting ideological and political evaluation. Adopting a progressive teaching model, this paper proposes several suggestions and measures for the effective implementation of ideological and political education in laboratory courses. [ABSTRACT FROM AUTHOR]

In order to accurately predict the undrained shear strength of saturated soft loess in engineering construction site, this paper derives a generalized body-strain equation in e p -ln ′ space, based on the K0 consolidated soft loess model that takes into account structural properties and anisotropic characteristics. The structural stress ratio is also introduced to reflect the influence of soil consolidation history on the undrained strength of the soil, and on this basis the theoretical model for calculating the undrained shear strength of K0 consolidated soft loess is derived in compliance with the body strain law under undrained conditions. The result shows the calculation model proposed in this paper can predict the undrained strength of saturated soft loess more accurately. The relationship between the main parameters of the model and the undrained strength of the soft loess is further explored by parametric analysis, which shows that the undrained shear strength ratio of the soft loess is negatively correlated with the plasticity parameter and positively correlated with the structural parameter and structural stress ratio. [ABSTRACT FROM AUTHOR]

Meperfluthrin is one of the top-selling sanitary insecticide species in the domestic market, drawing widespread attention due to its environmental safety risk. In this paper, zebrafish was used as an experimental model to assess the cardiac developmental toxicity and oxidative damage caused by acute exposure to meperfluthrin in embryos and larvae. The acute toxicity assessment revealed that meperfluthrin is highly toxic to zebrafish embryos with a 72 h-LC50 of 0.756 μg/mL. After exposure to different doses of meperfluthrin (0, 0.2, 0.4, 0.8 μg/mL) for 72 h, the larvae from 0.4 and 0.8 μg/mL dose-treated groups showed deformities, including spine and tail curvature, pericardium and yolk sac edema, significant reduction of heart rate and hatchability, and incomplete embryonic development (shorter body length, smaller head, and eye area). Moreover, meperfluthrin of 0.2, 0.4, and 0.8 μg/mL induced atrial and ventricular differentiation in larvae, and down-regulated the expression of cardiac function-related genes myl7, myh6, and vmhc. It also increased the content of malondialdehyde (MDA), as well as decreased the activities of antioxidant enzymes such as superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GSH-Px), resulting in the accumulation of reactive oxygen species (ROS) in the heart of larvae. The results of this paper indicate that meperfluthrin exposure has significant toxicity to the cardiac development of zebrafish embryos and is associated with oxidative damage. [ABSTRACT FROM AUTHOR]

W ith the continuous deepening of (Jhinas green environmental protection concept, the corporate social rcsponsihilitj7 (CSR) reports of listed companies have gradually become an important indicator for evaluating the future value of enterprises. Based on the order effect theory of psychology: this paper focused oil the plicnomciion of the fonvaid presentation of the environmental information chapter in (JSR reports, constnictcd the location measurement variables of the cnvironmciital inlbrmation chapter with the (JSR reports of A-share listed companies in Shanghai and Shcnzlicn Stock Exchange from 201 1 to 2021, and explored the impact of the presentation order of the environmental chapter on institutional investors through empirical research. The results showed that: (1) The forward presentation of the environmental information chapter in CSR reports led to an increase in institutional investorsf shareholding ratio, which was still valid after a series of robustness and endogeneity tests. (2) The heterogeneity analysis showed that the differential effect of the fonvard presentation of the environmental information chapter on institutional investors was mainly reflected in corporate cnvironmciital awareness, and the characteristics of institutional investors, i.c., the environmental pctformancc level, environmental information disclosure quality, and industry environmental sensitivity of listed companies, all affected the role of the environmental information chapter in institutional investorsf shareholding ratio. (Compared to non-invcstmcnt-oricntcd institutional investors, investment-oriented institutional investors were more susceptible to the impact of the fonvard presentation of the environmental information chapter, of which QFII and insurance institutional investors were more affected by the order of the environmental information chapter location.③ The economic conscquciiccs of the forward presentation of the environmental information chapter in CSR reports were mainly reflected in the improvement of the future value of enterprises. This result was tested on different value measurement variables. In low-Tohiiifs QJisted companies, the incremental effect of the fonvaid presentation of the environmental information chapter oil the future value of the enterprise was more significant. Further rcscaich showed that institutional investors could keenly perceive the economic consequences of the fonvard presentation of the environmental Liifbrmatioii chapter, and this conclusion indirectly confirmed the smart money? effect of institutional investors by favoring listed companies with low Tohinfs Q and the fonvard presentation of the environmental information chapter. This paper analyzes the impact of the order of the environmental information chapter oil institutional investorsf investment decisions, providing empirical evidence for the order effect of the environmental information chapter location in CSR reports and broadening the research field of psychological order effects in the capital market. It lias significant implications for improving the disclosure system of (JSR reports, strcngtlicning the supervision of disclosure, and increasing the usefulness of institutional investorsf dccision-making. [ABSTRACT FROM AUTHOR]

The reduction of greenhouse gases and atmospheric pollutants is an important component of environmental and climate governance. Synergizing the reduction of air pollution and carbon emissions is a general starting point for advancing the comprehensive green transformation of economic and social development, which is helpful for the construction of a beautiful China and the achievement of the goals of reaching peak carbon emissions and carbon neutrality. This paper systematically reviews the concept, category, and quantitative evaluation methods of promoting the synergistic effects of air pollution control and carbon emission reduction, and compares the characteristics and applicability of comprehensive top-down, bottom-up, and mixed synergistic effect evaluation models. We also analyzed and summarized the application of synergistic effects in policies to achieve a single target and collaborative control in various countries, with the purpose of providing empirical guidance for China's relevant policies to exert synergistic governance effects. From a technical perspective and combining the direct and indirect links between pollutants and greenhouse gases, this paper analyzes the deep-rooted causes of the synergistic effects, explores the driving forces of key industries such as electric power, industry, and transportation to help reduce pollution and carbon emissions, and summarizes four key scientific issues in comprehensive evaluations of synergistic effects from a management science perspective. The standardization of the comprehensive evaluation process and the interdisciplinary intersection of various evaluation processes reflect the complexity of the evaluations, and it is necessary to analyze the production and transmission processes of greenhouse gases and pollutants, as well as the direct and indirect links between the two and their mechanisms impacting health. The diversity of time, space, and evaluation object selection in comprehensive evaluations leads to uncertainty in the results. Therefore, it is necessary to rely on gradually mature big data collection and storage technology to strengthen the synergistic control and quantitative mapping of the impact on emission levels, health levels, emission reduction costs, and agricultural and ecological systems. Enhancing the comparability of comprehensive evaluations is conducive to the mutual confirmation and comparative analysis of different results. It is also necessary to reasonably calculate the comprehensive benefits of synergistic control in different dimensions. The focus of evaluations at the national, regional, and urban levels varies greatly, so it is necessary to clarify the pollution and carbon reduction governance system and strengthen the hierarchical nature of the evaluations in order to promote more scientific implementation of policies by management departments at all levels to achieve the synergistic effects of carbon emission reduction and air pollution control. [ABSTRACT FROM AUTHOR]

Glucose is the most important biological energy donor, is the source of energy and metabolism of living cells, and plays an important role in cell signaling. Abnormal glucose metabolism is frequently associated with diabetes mellitus, retinopathy, Alzheimer's disease, and cardiovascular diseases. Sodium-glucose cotransporter 2 (SGLT2) is one of the transporters involved in the maintenance of glucose homeostasis. It mediates the reabsorption of glucose by the kidney and plays an important role in maintaining the stability of plasma glucose. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) can reduce the reabsorption of glucose in the kidney and have a positive impact on blood glucose, blood pressure, body weight, etc. This paper summarizes the current research progress of SGLT2 and its inhibitors, the structure and key sites of SGLT2 and the mechanism of SGLT2i. In particular, in recent years, it is found that the protective effect of SGLT2i on kidney and cardiovascular is more obvious, and it can also resist the occurrence and development of tumor cells. Finally, this paper summarises and discusses the current bottlenecks in research related to SGLT2i and provides new ideas for future structure-based drug optimisation of inhibitors. [ABSTRACT FROM AUTHOR]

Knee osteoarthritis (KOA) complicated with osteoporosis (OP) is a chronic degenerative bone disease commonly found in postmenopausal women. Also, it's an important risk factor affecting the quality of life and mental health of middle-aged and elderly women. Currently, the etiology and pathogenesis of KOA complicated with OP are not clear in Western medicine, and the correlation between KOA and OP is also controversial. Based on the pathological characteristics of KOA and OP and the physiological characteristics of postmenopausal women, this paper summarized the etiology and pathogenesis of KOA complicated with OP into four aspects: Weakness, Stasis, Phlegm, and Depression. Besides, this paper sorted out the progress of modern medicine and original research related to KOA complicated with OP based on these four aspects mentioned above and explored the similarities of etiology and pathogenesis of KOA complicated with OP between traditional Chinese medicine and Western medicine. Therefore, it's better to understand the pathogenesis and development of postmenopausal KOA complicated with OP more comprehensively and scientifically. [ABSTRACT FROM AUTHOR]

Due to the random growth mechanism of the seed region in the weakly supervised semantic segmentation task, the weakly supervised semantic segmentation network often suffers from wrong segmentation and missed segmentation problems. To address the above problems, it processed a boundary-assisted weakly supervised semantic segmentation network. The network provides a reference for the growth of seed regions by utilizing boundary information and semantic information, so that the seed regions can naturally grow to the target boundary and correctly differentiate the target categories when the non-target object block or overlapp the target, and generate pseudo-pixel masks that can cover a more complete target. This paper used the pseudo-pixel mask as the supervisory information to train the segmentation network, which can improve the problem of mis-segmentation and omission by the pseudo-pixel mask that cannot cover the target region accurately, and improve the accuracy of the weakly supervised semantic segmentation network. It evaluated the network on the generalized dataset PASCAL VOC 2012 validation and test sets,and the mIoU reaches 71.7% and 73.2%, respectively. The experimental results show that the performance of the network in this paper outperforms that of most of the current weakly-supervised semantic segmentation methods at the image level. [ABSTRACT FROM AUTHOR]

According to the problem of the current RGB-D feature extraction network used for pose estimation was too large, this paper proposed a lightweight improved XYZNet RGB-D feature extraction network. First, this paper designed a lightweight sub-network BaseNet to replace ResNet18 in XYZNet, which made the network scale significantly reduced and obtained more powerful performance. Then, this paper proposed a re-parameterized multiscale convolutional attention (Rep-MSCA) sub-module based on depth separable convolution, which enhanced the ability of BaseNet to extract contextual information of different scales, and constrained the amount of parameters in the model. Finally, in order to improve the geometric feature extraction ability of PointNet in XYZNet with a small parameter cost, this paper designed a re-parameterized residual multi-layer perceptron (Rep-ResP) module. The floating point operations (FLOPs) and parameters of the improved network are 60.8% and 64.8% lower, the inference speed is 21.2% higher, and the accuracy of the mainstream datasets LineMOD and YCB-Video is 0.5% and 0.6% higher. The proposed model is more suitable for deployment in scenarios where hardware resources are tight. [ABSTRACT FROM AUTHOR]

Direct volume rendering is widely used in scientific visualization. The transfer function largely determines the effect of rendering results. Explosion data is large-scale complex time-varying volume data. The value range and distribution of its pressure field will change drastically with time. In order to realize continuous tracking of shock wave propagation characteristics, this paper proposed an automatic transfer function design method based on scalar-temporal gradient (STG) 2D space. Combined with the physical laws in the explosion process, the method divided the STG space into multiple states and summarized the transition laws between states. It encoded the propagation characteristics of shock waves with state transition chains (STCs) of a certain length, called time-varying features. The color assignment in the transfer function took time-varying features as the basic unit, which was done automatically through a complete state transition chain. The opacity in the transfer function used a piecewise non-linear curve based on the pressure change rate, highlighting the characteristics of severe pressure changes. The paper selected two typical large-scale explosion scenarios to verify the method. The rendering results all contain a wealth of clearly distinguishable shock wave propagation characteristics. The results showed that the generated transfer function can stably and accurately capture the propagation characteristics of shock waves in the whole-time dimension. [ABSTRACT FROM AUTHOR]

To address the low-quality problem of automatic extraction of ABAC policies, this paper proposed an automatic ex traction and optimization enhancement method of ABAC policies driven by access control logs. Firstly, the method constructed an ensemble learning model to map user behavior and permission allocation into a policy logic tree, identifying the relevance and underlying patterns of access authorization decisions to generate preliminary policies. Secondly, the method employed two algorithms of single attribute optimization and rule hinary reduction to deeply optimize the policies, simplifying policy structure and compressing policy scale. Finally, the method proposed an error metric-based rule conflict resolution approach to enhance mutually exclusive, complete ABAC policies. Furthermore, the method used policy performance balancing algorithm of a multi-objective optimization to achieve the optimal model selection for different scenario requirements. This paper tested and verified on balanced datasets and sparse datasets respectively, the experimental results demonstrate that the method achieves a highest accuracy of 96.69% on the balanced dataset, compresses the policy seale to 19.7% of the original. On the sparse dataset, the highest accuracy reaches 87.74%, with the policy scale compresses to 23% of the original. This method balances the prediction accuracy and structural simplicity of policies, and is applicable for both balanced logs and sparse logs, ensuring the access control system can implement efficient and secure access authorization management in practical applications. [ABSTRACT FROM AUTHOR]

In wireless communication system, IRS can regulate the phase shift of reflecting units to reflect signals, which is used to enhance user signals and suppress eavesdropper signals and solve the problem of secure communication between hase station and users. To address this issue, this paper proposed a secure communication scheme for multi IRS assisted multi user multiple input single output system, with the goal of maximizing system weighted sum secrecy rate. This scheme firstly decom posed the problem of maximizing weighted sum security rate into two subproblems; transmission beamforming and artificial noise vector optimization, and multi-IRS phase matrix optimization. And then, this scheme transformed each subproblem into a simple convex subproblem for solution by using methods such as semidefinite relaxation, citation theorems, auxiliary variable substitution, and first-order Taylor approximation. Finally, this paper obtained the maximum weighted sum secrecy rate by se quentially solving two convex optimization subproblems based on the alternating optimization algorithm. The numerical simula tion results show that the proposed algorithm scheme can effectively enhance the secure commmunication performance of the sys tem compared with the other three schemes, and indicate that multiple IRS deployments can achirve better system security than a single IRS. [ABSTRACT FROM AUTHOR]

In recent years, the accurate management of business processes has received more and more attention, so conformance checking technology as one of the business process management elements is becoming more and more essential. The existing conformance checking technology is mainly from the perspective of the control flow of the model, without considering the data in the business process or the impact of data changes on the business process. To solve above problems, this paper proposed a business process conformance checking method based on data impact. Firstly, the method analyzed the impact of data on the expected behavior of deviant activities through the dependency relationship between data and behavior in the business process modeling notation (BPMN) model, and obtained the expected behavior sets of deviant activities. Secondly, it introduced the decision model and notation (DMN) decision table into the BPMN model to fully capture the relationship between the data context and the behavior context of the current instance execution, so as to distinguish between valid data changes and abnormal data changes and found the effective expected behavior sets of deviation activities. Finally, this paper proposed an effective conformance checking method by designing various cost functions of the impact of data on deviation activities. Com- pared with existing work, the results show that the proposed method improves the conformance of business process. This method can successfully capture the adaptive behavior of responding to deviant activities, making business processes more accurate and reasonable in complex and changeable environments. [ABSTRACT FROM AUTHOR]

Most of the current research on opinion evolution models and their dynamic rules in the field of public opinion has overlooked offline networks, leading to an inadequate reflection of the actual process of opinion dissemination. To solve the above problem, this paper employed an online-offline social network mapping method to obtain the topology structure of the online-offline social networks. Then, it constructed an online-offline supernetwork model, integrating the information of the opinion event situation to form an opinion evolution simulation environment. Finally, it formulated the dynamic interaction rules for the online-offline supernetwork model using principles of communication theory, enabled the simulation of opinion dynamics. This paper applied the proposed model to analyze specific event instances, and the cosine similarity between the simulation results and the actual development of opinion events reached 0. 99, with an average difference of 1%. The experimental results show that the presented model achieves better simulation performance compared to other methods, validating the correctness and effectiveness of the online-offline supernetwork model and the opinion dynamical interaction rules. [ABSTRACT FROM AUTHOR]

Aiming at the redundancy characteristics of the redundant manipulator and the relevant RRT* algorithm had issues with low search efficiency, unstable convergence and not fully considering the influence of the geometric configuration and self-motion characteristics of the redundant manipulator’s end effector on path planning in applications for planning the end-effector path, this paper proposed an improved strategy. Firstly, this paper introduced a sampling point selection method based on the angle between the root and end node connection, along with the establishment of a target proximity region. This method dynamically switched between improved sampling methods and random sampling methods based on the number of successful continuous samples. Subsequently, this paper combined the bidirectional tree expansion strategy with the aforementioned method. Finally, the initial feasible path was reconnected twice to obtain the optimized path. Through verification, it had been improved that the Bidirectional Tree RRT* method could effectively enhance search efficiency, convergence, and path optimality. The introduction of virtual collision bodies and capsule collision bodies could also effectively respond to the impact of the structure and motion characteristics of the end effector of the redundant manipulator. This paper used the Mujoco physics simulation engine to validate the movement of the redundant manipulator. This paper demonstrates that this strategy can plan a more optimal feasible end-effector path for the redundant manipulator. [ABSTRACT FROM AUTHOR]

In order to alleviate the inherent information differences between different user social spaces and interest spaces in recommendation systems and the problem of ignoring high-order neighbors, this paper proposed AGCRSR. Firstly, the algorithm used a mapping matrix in the embedding layer to convert the initial feature vectors into adaptive embedding. Secondly, it intro- duced an attention mechanism to aggregate different aspects of user embeddings, and used a graph convolutional network to li- nearly learn the potential representations of users and items. Finally, it used the adaptive module to aggregate user representations and predict the final recommendation results of users for the project using the inner product function. This paper conducted comparative experiments on the LastFM and Ciao datasets and compared with other baseline algorithms. The experimental results show that the recommendation performance of the AGCRSR is significantly improved compared to other algorithms. [ABSTRACT FROM AUTHOR]

Aiming at the complexity of the judicial case decision-making environment and the fuzziness of evaluation information, this paper proposed an interval-valued Fermatean fuzzy Hamacher-TODIM multi-attribute group decision-making method based on GRA-GCRITIC and improved weighted bidirectional projection. Firstly, considering the differences in evaluation information of each index under each evaluation scheme by experts, this paper proposed a GRA-GCRITIC method, which integrated grey relation into CRITIC to determine the comprehensive weight of indicators more objectively and reliably than obtaining a single indicator weight. Secondly, considering the subjective and objective relationship, this paper used the trust relationship to improve the weighted bidirectional projection method. The approach utilized the similarity between the membership and non- membership degree matrices of expert individual and group evaluation information to obtain expert weights. Finally, considering the decision-makers loss aversion psychology, this paper extended the TODIM method, which incorporated the Hamacher operator, to an interval-valued Fermatean fuzzy environment. And a specific case used this method to obtain the comprehensive ad- vantage and ranking. It verifies the feasibility and flexibility of the proposed method. [ABSTRACT FROM AUTHOR]

Aiming at the path planning problem of mobile robot in dynamic environment, this paper proposes a fusion algorithm (IHHO-IDWA) of Improved Harris Hawk Algorithm (IHHO) and Improved Dynamic Window Algorithm (IDWA）. First of all, this paper proposed a fusion adaptive chaos and core population dynamic division strategy, a fusion golden sine strategy and a dynamic cloud optimal disturbance resolution strategy to improve the performance of and solve the lack of search performance in the late stage of the Harris Eagle algorithm. In addition, in view of the problems that the dynamic window algorithm has a long planned path and easy to fall into deadlock, it proposed three improvement strategies to solve them: Firstly, add sub-functions to ensure that the algorithm can plan a shorter path; secondly, propose an adaptive weight strategy, balance the local obstacle avoidance ability and global search performance of the algorithm; thirdly, set the initial heading angle to avoid path redundancy. Finally, through numerical experiments of test functions, CEC2014 functions, and static and dynamic path planning experiments, it is verified that the performance of IHHO and IDWA in this paper has been significantly improved; through the 50×50 large-scale dynamic map, it is verified that the path planned by the fusion algorithm is shorter than that planned by the control group algorithm. 11.51%, proving the superiority of the method in this paper. [ABSTRACT FROM AUTHOR]

Aiming to address the issue that current ridesharing solutions mostly focus on serving online passenger requests and overlook offline ones, leading to underutilization of taxi resources, the paper proposes a probability-based routing ridesharing optimization algorithm that relies on mining historical travel trajectory data. This algorithm calculates a regional probability transition matrix from historical spatiotemporal data of passenger requests and utilizes this matrix to optimize the recommended ridesharing routes for taxis. It presents a solution that integrates historical data with the ridesharing problem, effectively increasing the taxi’s passenger capacity. By ensuring the offline passenger acceptance rate and online passenger tolerance, the algorithm employs a relaxed-time metric to predict and evaluate the passenger tolerance time for the entire path in O（n） time, and use the Dijkstra algorithm to plan routes through detour areas, minimizing the detour distance for taxis. This paper validates the effectiveness of the algorithm by using the realworld DiDi GAIA dataset, and the results demonstrate that the proposed algorithm outperforms the baseline algorithm by 12% in terms of the number of service requests served. [ABSTRACT FROM AUTHOR]

In reiw of the importance of finding high-quality literature from massive literature, this paper proposed a literature evaluation index-citation structural diversity. It analyzed the feasibility of this model as a literature evaluation index through data analysis experiments on large-scale datasets, and then proposed an improved model to make it more suitable for citation network analysis. The data analysis results show that the structural diversity of citation network is significantly linearly related to the paper citation number, and the structural diversity of citation network is an essential factor affecting the citation number change trend after the publication of the literature. In 85.8% of the citation prediction experiments, structural diversity has im- proved the performance of models. The combined structural diversity has a prominent effect in the long-term citation prediction experiment, with a maximum increase of 22. 19%, an average increase of 14. 55% for the determination coefficient R2, and a maximum increase of 22.76%, an average increase of 17.34% for the mean square error MSE. [ABSTRACT FROM AUTHOR]

In recent years, GNN has developed rapidly, and the performance of related models in knowledge graph link prediction tasks has been significantly improved. To explain the performance improvement, the researchers need to extract the sub graph patterns learned by the GNN. However, the interpretation accuracy of existing GNN interpreters in typical multi-relational graph data scenarios such as knowledge graphs has not been verified, and related tools have not yet been implemented, resulting in difficulty in extracting interpretation subgraphs. In response to this problem, this paper proposed a knowledge graph link prediction model that converted a multi-relational knowledge graph into a uni-relational graph. The model combined the entities in the knowledge graph into new nodes and the relationship as a new node. Node features generated a new graph with only a single relationship, and trained a denoising autoencoder on the new graph to obtain link prediction capabilities, and finally used a GNN interpreter to generate subgraph explanations. Experiments on three benchmark datasets show that the relative AUC index of the link prediction model based on single-relational transformation is significantly improved compared with Grall. without transformation. Finally, this paper selected the FB15K-237 dataset to conduct explanatory subgraph extraction experiments, and verified the effectiveness of the model in directly extracting link prediction explanations. [ABSTRACT FROM AUTHOR]

Since the objects in remote sensing images have the characteristics of arbitrary direction, dense distribution and large scale differences, object detection in remote sensing images has become a challenging problem. Aiming at this problem, this paper systematically reviewed the work related to rotating object detection in deep learning remote sensing images in recent three years. Firstly, this paper introduced the representation method and characteristics of rotated bounding box. Then, it analyzed the existing methods of rotating object detection in remote sensing images from four aspects: the feature extraction network, the generation of rotating anchor and candidate bounding box, the label allocation and sampling strategy, and the loss function. Next, it introduced the commonly used remote sensing image datasets for rotated object detection, and compared the performance of different algorithms. Finally, this paper prospected rotating object detection in remote sensing images. [ABSTRACT FROM AUTHOR]

In the era of e-commerce, accurately predicting user purchase intentions has become a crucial factor for enhancing sales efficiency and optimizing the customer experience. Addressing the limitations of traditional ensemble strategies, which often suffer from subjective biases during the model design phase, this paper introduced an adaptive evolutionary ensemble learning model to predict user purchase intentions. This model adaptively selected the optimal base learners and meta-learners, incorporating both the predictive information from the base learners and the differential information between features to expand the feature dimensions, enhancing prediction accuracy. Moreover, to further refine the predictive capabilities of the model, this paper designed a binary adaptive differential evolution algorithm for feature selection, aiming to identify features that significantly influence the prediction outcome. Research results show that the binary adaptive differential evolution algorithm outperforms traditional optimization algorithms in global searches and feature selection. Compared to six common ensemble models and the DeepForest model, the proposed evolutionary ensemble model achieves a 2.76% and 2.72% increase in AUC value, respectively, and effectively mitigates the impacts of data imbalance [ABSTRACT FROM AUTHOR]

Conventional centralized image classification methods faced challenges due to data privacy issues and limitations in computing resources, rendering them inadequate for practical applications. Existing federated learning frameworks relied on central servers, and there were security challenges such as single points of failure and data poisoning attacks. To address these issues, this paper proposed a novel image classification scheme that combined privacy-preserving federated learning and blockchain technology. The scheme achieved reliability and security in image classification tasks within a distributed environment. This approach trained the image classification model through federated learning and uploaded to the blockchain network for verification and consensus. During the classification phase, the model obtained the final classification result through weighted combination. Experimental results demonstrate that the proposed scheme ensures the accuracy of image classification while protecting user privacy. In conclusion, this paper provides an effective approach to address data privacy and security concerns in image classification, and presents a positive exploration towards improving classification accuracy. [ABSTRACT FROM AUTHOR]

The REST API has become an important way to access and use cloud services, Web, and mobile applications. It is urgent to solve the problem of how to carry out automated testing on these APIs to ensure the security and reliability of services. Although there are numerous research results on REST API automation testing, there is still a lack of comprehensive analysis and summarization of testing techniques. This paper firstly summarized the development history of REST API automation testing, then refined the general process of testing by combining the features of REST API automation testing. Next, this paper elaborated the technical features of existing achievements from four aspects: pre-processing, test case generation, test case execution and monitoring, and result analysis, and compared and analyzed their advantages and disadvantages. Finally, it discussed the shortcomings of the current research, proposed possible solutions, and explored the next research direction. [ABSTRACT FROM AUTHOR]