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The construction of specialty towns is positioned as an important breakthrough and down-to-theground path in the implementation of China's new-type urbanization strategy. It highlights the roles of placebased industrial specialization and agglomeration economics. In this process, the Chinese government plays a supportive and guiding role in enabling and aligning multiple actors to engage with to build new platforms for innovation and entrepreneurial activities that integrate the functions of production, living, and ecology. The specialty towns construction strategy is aimed at promoting people-based urbanization and the regional ability of endogenous development. Given the "top-down" and standardization-led nature of the specialty towns policy program, implementation and practices at the local level are both challenging and problematic. This paper adopts perspectives and concepts from evolutionary economic geography and agglomeration economics to explore the antecedents and mechanisms of urbanization. It emphasizes the geographical spatiality of the program in local implementation. Taking 134 provincial specialty towns of Zhejiang province as research cases, the paper refers to a mixed set of methodologies of on-site, interview-based fieldwork; an online survey; and a document analysis to identify the historical foundations, industry attributes, and development objectives of the specialty towns. It also generates a typology of the 134 specialty towns, as well as a typological guideline regarding policy intervention for the broader implementation of specialty towns in China. Three main types of specialty towns are identified in our study: The first type is built on the basis of state-led, sci-tech industrial parks/new towns, whose development aims are oriented toward the development of new industrial paths. The second type is based on firm-led specialized markets located in small administrative towns that support the upgrading and renewal of existing local traditional industries. The third type is featured by the local presence of place-specific natural or sociocultural resources, and it is based on scenic spots. It is oriented to the development of the tourism economy. In conclusion, this study promotes the incorporation of evolutionary economic geography perspectives into the policy implementation of specialty towns and calls for taking the concepts of history, space, and place into account for a better understanding of these towns. By so doing, future policy methods will not be standardized, quota-based, and top-down. [ABSTRACT FROM AUTHOR]

Objectives: Curve simplification is of importance in automated map generalization; nevertheless, the Douglas-Peucker (DP) algorithm popularly used in map generalization is not automatic, because a key parameter called distance tolerance (ε) must be given by experienced cartographers and needs to be input before execution of the algorithm. Methods: To solve the problem, this paper proposed a method to automatically calculate ε and by which the automation of the DP algorithm is achieved. The method consists of the following steps: (1) A formula is constructed by the Hausdorff distance for calculating the similarity degree (Ssim) between a curve at a larger scale and its simplified counterpart at a smaller scale. (2) 15 linear rivers are selected, and each of them is manually simplified to get their counterparts at seven different scales. The Ssim of each original river and each of its simplified counterpart at a smaller scale can be obtained using the formula constructed by the Hausdorff distance, and 15×7=105 coordinate pairs consisting of (S,Ssim) can be got, and a function between Ssim and S are constructed by the curve fitting using the coordinates. (3) In the meanwhile, the 15 rivers are simplified using a number of ε, and the Ssim of each original river and each of its simplified counterpart at a smaller scale can be calculated using the formula constructed by the Hausdorff distance. In this way, a number of coordinate pairs (ε,Ssim) are got, and a function between ε and Ssim is constructed by the curve fitting. (4) By the function between Ssim and S and that between ε and Ssim, a formula between ε and S can be deducted. Using the formula ε can be calculated automatically, because in a map generalization task S is usually known. After this step, automation of the DP algorithm is achieved. Results: The experiment results show that (1) The proposed DP algorithm can automatically simplify the rivers in a specific geographical area to get the results at different scales; and (2) the resulting river curves generated by the proposed DP algorithm have a high degree of similarity with the ones made by experienced cartographers. Their average similarity degree is 0.927. Conclusion: The proposed DP algorithm can simplify curve features on maps automatically, and the results are highly intelligent and credible. Although only river data is tested in this paper, the principle of the proposed method can be extended to other linear features on maps. Our future work will be on improving the accuracy of the proposed DP algorithm using more river data so that the algorithm can be used in practical map generalization engineering. [ABSTRACT FROM AUTHOR]

Objectives: In recent years, a great breakthrough has been made in the text generation image problem based on generative adversarial networks (GAN). It can generate corresponding images based on the semantic information of the text, and has great application value. However, the current generated image results usually lack specific texture details, and often have problems such as collapsed modes and lack of diversity. Methods: This paper proposes a determinant point process for generative adversarial networks(GAN-DPP) to improve the quality of the generated samples, and uses two baseline models, Stack-GAN++ and ControlGAN, to implement GAN-DPP. During the training, it uses determinantal point process kernel to model the diversity of real data and synthetic data and encourages the generator to generate diversity data similar to the real data through penalty loss. It improves the clarity and diversity of generated samples, and reduces problems such as mode collapse. No extra calculations were added during training. Results: This paper compares the generated results through indicators. For the inception score, a high value indicates that the image clarity and diversity have improved. On the Oxford-102 dataset, the score of GAN-DPP-S is increased by 3.1% compared with StackGAN++, and the score of GAN-DPPC is 3.4% higher than that of ControlGAN. For the CUB dataset, the score of GAN-DPP-S increased by 8.2%, and the score of GAN-DPP-C increased by 1.9%. For the Fréchet Inception Distance score, the lower the value, the better the quality of image generation. On the Oxford-102 dataset, the score of GANDPP-S is reduced by 11.1%, and the score of GAN-DPP-C is reduced by 11.2%. For the CUB dataset, the score of GAN-DPP-S is reduced by 6.4%, and the score of GAN-DPP-C is reduced by 3.1%. Conclusions: The qualitative and quantitative comparative experiments prove that the proposed GAN-DPP method improves the performance of the generative confrontation network model. The image texture details generated by the model are more abundant, and the diversity is significantly improved. [ABSTRACT FROM AUTHOR]

Objectives: The quality of network structure is the key to obtain excellent classification performance. Most of existing deep models are designed by the trial-and-error method. When the same model processes different hyperspectral images (HSIs), different network hyperparameters need to be set artificially to adapt to the data characteristics of different images, greatly increasing the difficulty of network design. Aiming at the problem of deep learning model design in hyperspectral image classification, this paper proposes an automatic network structure search method for HSI classification. Methods: In the proposed method, the differentiable structure search technology is first used to search the network structure on the source HSI data sets, then the deep network model is constructed by stacking cells, and finally the classification performance is evaluated on the target HSIs. It should be pointed out that, the proposed method only conducts one search on the source HSI data sets, and the obtained deep model can be applied to other target HSI classification tasks, which can effectively improve the utilization rate of the model. To improve the generalization ability and classification accuracy of the model, multi-source and multi-resolution HSIs are employed to construct the precollected data set, and the partial channel connection operation is introduced to further improve the search efficiency. Results: Three HSIs inculding Houston, Chikusei and Pavia Center are selected as source data. Four HSIs including University of Pavia, Indian Pines, Salinas and Houston 2018 are selected as the target HSIs. The source data is used to determine the network model and the target HSIs are used to evaluate the classification performance. Experimental results show that the proposed method can automatically search out a universal deep network model suitable for HSI classification task, and this model can achieve better classification performance than the conventional deep learning models. The overall classification accuracies of University of Pavia, Indian Pines, Salinas and Houston 2018 are 98.15%, 98.74%, 97.30% and 74.47%, respectively. Conclusions: Compared with other deep models, the model in this paper is automatically determined by differentiable architecture search algorithm according to the data characteristics of HSIs, effectively improving the classification accuracy of target HSIs while avoiding complex network design. Extensive experiments verify the applicability and effectiveness of the proposed method in HSI classification. [ABSTRACT FROM AUTHOR]

Sweat is the liquid secreted by the sweat glands of the human body and is distributed in all parts of the body, while sweat contains a wealth of information about human health. In addition to water, sweat contains electrolytes, metabolites, heavy metals, hormones, proteins, etc. The levels of electrolytes and other components in sweat can change significantly depending on the physical condition and environmental conditions, so the assessment of human health status can be realized by monitoring specific components in sweat. Compared with other biological fluids, sweat is easy to be collected and shows unique advantages in the field of wearable sensors, especially in health tracking and monitoring during human movement. In recent years, the rapid development of flexible wearable sensors and electronic device technologies has greatly facilitated the research on wearable sweat sensors. Currently, portable devices have been developed to capture the energy in sweat and store it. As the research on flexible sweat sensors continues to deepen, corresponding progress has been made in the design of wearable flexible sweat sensors, which are expected to play a greater role in the fields of healthcare, human movement monitoring, and aerospace. Flexible wearable electronic devices need to match the bending and stretching of human skin without affecting the wearer’s daily activities. Since most of the substrates of traditional wearable sensors are rigid and cannot meet the wearable use of people, the research of flexible substrate materials has become the focus of the field of flexible sensors at this stage. Starting from the types of substrate materials for flexible sweat sensors, this paper described in detail the substrate materials commonly used for sweat sensors in recent years and briefly outlined the applications of flexible sweat sensors in monitoring. Finally, it summarized the current limitations and prospects for future development. Flexible wearable sensors are now becoming the next generation of smart wearable tools, capable of capturing information about the human body and its surroundings in an intelligent, easy and real-time manner. However, there are still some problems. Firstly, in terms of sweat collection and utilization, due to environmental and physiological differences, there are variations in sweat levels in individuals and body parts. The chemical composition of sweat can vary depending on where it is collected and how it is extracted. Age and gender differences also affect the composition of sweat. Secondly, in most cases, polymer films are used as substrates and precious metals as conductive electrodes for sensors; therefore, these sensors have such main drawbacks as poor breathability, wearing comfort and high price. Finally, in addition to the comfort of wearing the sweat sensor and the sensitivity of sweat detection, it is also necessary to consider whether human movement and environmental changes during the wearing process will affect the detection performance and sensitivity. To address the above issues, a standardized and personalized sweat composition database with dynamic fluctuation range can be established in the future, which can lay the foundation for further development and application of flexible sensors. It has become a trend to develop natural and low-cost materials such as textile substrate materials and paper substrate materials for the preparation of wearable textile sweat sensors, which can satisfy the comfort and breathability of their wearing. With the researchers’ in-depth study of preparation methods and practical applications, flexible wearable sensors will be more widely used, and wearable devices are expected to play an important role in the future monitoring of daily health and physical activities, as well as in the prevention, diagnosis, treatment and healing of diseases. [ABSTRACT FROM AUTHOR]

Ribbons, as an ornament worn by officials in the Song Dynasty, not only recorded the real face of official life in the Song Dynasty, but also carried the historical memory of social development in the Song Dynasty. The rank of the officials in the Song Dynasty can be distinguished by the different brocade patterns on the ribbons they wore. Therefore, the ribbon patterns of official clothing in the Song Dynasty are of great value to study the hierarchical system of official clothing, social ideology and artistic characteristics of Song brocade. Based on ancient documents and fabric image data, this paper made an in-depth analysis of the evolution of official clothing ribbons in the Song Dynasty, the characteristics of their patterns and the cultural implications. Three major important conclusions were drawn. First, the ribbon was an ornament to show the power and responsibility of officials. Initially, officials determined the crowns and ribbons according to the level and divided them into three grades. During the Kangding period, the clothing system was revised again. With the joining of Fangsheng brocade, the ribbons were divided into fourth grades. In the second year of Yuanfeng, to unify official names and positions, and balance rights and responsibility, the crowns and ribbons were determined according to official positions, so the Song Dynasty clothing system tended to be mature and stable. Second, the ribbons were used to identify the rank of officials according to their different brocade patterns. Influenced by the traditional social order and neo-Confucianism in the Song Dynasty, the ribbon patterns not only had the beauty of harmony, unity, symmetry and balance, but also had the beauty of continuous repetition and moderate contrast rhythm, with high artistic value. Third, as a symbol of the traditional hierarchical order, the ribbons conveyed changing ideas in an explicit or implicit way. They were conducive to the safeguarding of national governance and the continuation of the inherent hierarchical order, satisfied the pursuit and desire of officials for their status, and were easy to cultivate good self-drive morality of officials, thus enhancing the cohesion of the ruling team and safeguarding the long-term stability of the country. This paper systematically and deeply collected, collated and analyzed the evolution of the ribbons worn in official clothing of the Song Dynasty, clarified the names, users and scope of application of the ribbon patterns, summarized the artistic characteristics and cultural implications of the ribbon patterns. It is helpful to improve the inheritance of hierarchical order information in the Song Dynasty, restore the original appearance of official life, ideology and aesthetic expression in the Song Dynasty, and have a deeper understanding of the ribbon patterns, which has certain reference value for exploring the hierarchical system of official clothing in the Song Dynasty. With the change of dynasties and the development of the times, ribbons no longer have the function of highlighting the status of the wearer and conveying the value of honor, but the meaning of happiness and health contained in them has been loved by people until now, and is widely used in modern textile pattern design. [ABSTRACT FROM AUTHOR]

China is the world’s largest producer and exporter of silk products, as well as a major consumer of silk products. Luster, as one of the main components of the visual style and appearance of silk products, is an important indicator for evaluating the appearance quality of silk fabrics. Therefore, the testing and evaluation of the luster of silk fabrics is of great significance for better style of products and enhancing the visual appearance of the fabrics. The evaluation methods for the luster of fabrics are mainly divided into subjective evaluation methods and instrumental testing methods. Subjective evaluation methods rely on human subjective perceptions with unstable consequences. The instrumental methods can only measure the luster of part surface of the fabrics. When the luster distribution of the fabrics is uneven, the test results are inaccurate. Comparison with other evaluation methods, there are many advantages on the technology of image processing. However, in most studies of luster evaluation based on image processing, the models established can only perform well for specific sample sets with poor generalization abilities. The reason is that the effective features of fabric luster images remain to be further studied in the construction of the key luster features of fabric images. In this paper, white, blue, black, pink and brown silk crepe satin plain fabrics were selected as samples, and the samples were washed by a programmable standard washing machine. The spectral data of the samples were collected by a spectrophotometer, and the subjective scores of the samples were obtained through visual experiments. Exploratory cluster analysis was carried out on the collected data set to obtain the structural characteristics of the data set, and correlation analysis and factor analysis were carried out to explore the influencing factors of the subjective evaluation of fabric luster. The results show that in the color space CIE L*a*b*, a* and b* have a correlation of-0. 45 with the subjective evaluation of samples, while the correlation between color brightness and subjective evaluation is low. In the general linear model analysis of the effects of a* and b*, it is found that the change of fabric color significantly affects the subjective cores of fabric luster. The results of factor analysis show that the change of spectral reflectance of samples has the highest impact on the subjective score of fabric luster in the wavelength range of 530 nm to 560 nm. On this basis, the image analysis of fabric luster was carried out in this paper, and features such as non-uniformity, luster grade and highlight ratio of the image were constructed. These three features can better reflect the contrast characteristics of the highlights and background brightness of the fabric, and it is concluded that the contrast characteristics of the highlights and background brightness of the fabric are the key factors to evaluate the luster of the fabric based on image processing technology. In the human visual system, there is a phenomenon that enhances higher gray level and reduces lower gray level when human eyes are gazing at different grayscale edges. It is the high contrast between the bright spots and the background of silk fabrics that makes silk fabrics have a shiny luster. Compared with neural network or other integrated learning models, this method has more intuitive indexes, and is different from other fabric luster evaluation technologies based on image processing. It does not require learning and training on a specific sample set, so it will have a more promising application prospect.   [ABSTRACT FROM AUTHOR]

In recent years, silver halide double perovskites have been widely studied as potential environmentally friendly alternatives to lead-based hybrid halide perovskites. Recently, a novel lead-free double perovskite single crystal Cs2AgFeCl6 was synthesized experimentally. It is a semiconductor with cubic structure, and its absorption spectrum can extend to 800 nm. In this work, the electronic structures and optical properties of Cs2AgFeX6（X = Cl, Br, I） were investigated by using the first-principles method based on the density functional theory, and the inherent relevances between the two were discussed. Also, the influences of the change of X-site element on the properties of the materials were analyzed. The charge density calculation results show that from Cl to I, Fe-X bond gradually weakens, namely the binding capacity of atoms to charges weakens. On the other hand, the band gap widths of the three materials gradually decrease. Cs2AgFeCl6 and Cs2AgFeBr6 have band gaps of 1.40 eV and 0.91 eV, respectively, while Cs2AgFeI6 exhibits metallic nature. The spectral characteristic peaks of double perovskite Cs2AgFeX6 is obviously redshifted with the increase of X-site atomic number, and the three materials all process remarkable light absorption in visible to infrared region. The absorption coefficient of Cs2AgFeCl6 at 534 nm is 21.28×104 cm-1, and that of Cs2AgFeBr6 at 712 nm is 20.54×104 cm-1. Cs2AgFeX6 has an extremely wide absorption peak in the infrared band over 1200 nm, and the absorption coefficient can reach up to 10×104 cm-1. This paper provides theoretical guidance for the wide application of Cs2AgFeX6（X = Cl, Br, I） in the field of optoelectronic devices. In recent years, silver halide double perovskites have been widely studied as potential environmentally friendly alternatives to lead-based hybrid halide perovskites. Recently, a novel lead-free double perovskite single crystal Cs2AgFeCl6 was synthesized experimentally. It is a semiconductor with cubic structure, and its absorption spectrum can extend to 800 nm. In this work, the electronic structures and optical properties of Cs2AgFeX6（X = Cl, Br, I） were investigated by using the first-principles method based on the density functional theory, and the inherent relevances between the two were discussed. Also, the influences of the change of X-site element on the properties of the materials were analyzed. The charge density calculation results show that from Cl to I, Fe-X bond gradually weakens, namely the binding capacity of atoms to charges weakens. On the other hand, the band gap widths of the three materials gradually decrease. Cs2AgFeCl6 and Cs2AgFeBr6 have band gaps of 1.40 eV and 0.91 eV, respectively, while Cs2AgFeI6 exhibits metallic nature. The spectral characteristic peaks of double perovskite Cs2AgFeX6 is obviously redshifted with the increase of X-site atomic number, and the three materials all process remarkable light absorption in visible to infrared region. The absorption coefficient of Cs2AgFeCl6 at 534 nm is 21.28×104 cm-1, and that of Cs2AgFeBr6 at 712 nm is 20.54×104 cm-1. Cs2AgFeX6 has an extremely wide absorption peak in the infrared band over 1200 nm, and the absorption coefficient can reach up to 10×104 cm-1. This paper provides theoretical guidance for the wide application of Cs2AgFeX6（X = Cl, Br, I） in the field of optoelectronic devices. [ABSTRACT FROM AUTHOR]

In view of the fuzzy relationship between the characteristic parameters of rock rolling motion, an accurate and fast prediction system for the characteristic parameters of rock rolling motion is constructed on the basis of its sensitivity analysis. In this paper, the grey correlation method (GRA) is introduced firstly, and the sensitivity and significance of the influencing factors of rockfall motion, such as initial velocity, slope friction angle, rockfall mass, normal recovery coefficient and tangential recovery coefficient, are studied by taking the horizontal motion distance, bounce height, collision energy and other rockfall motion characteristics as the target parameters. Then, the Gaussian process regression model is used to establish the prediction model of the rolling stone movement characteristic parameters, such as horizontal movement distance, bounce height, collision energy, which avoids the tedious modeling and calculation process of traditional numerical simulation software for rolling stone movement. The engineering case proves that the Gaussian process regression (GPR) model has the highest accuracy in predicting the horizontal distance and total kinetic energy of rolling stones. Therefore, the sensitivity analysis and prediction model of rolling stone movement characteristic parameters constructed in this paper can quickly obtain the rolling stone movement characteristic parameters, which has important practical value for the design and construction of retaining structures. [ABSTRACT FROM AUTHOR]

Flood disaster is one of the most serious natural disasters. The poor drainage system, related data and technology limitations, and high vulnerability of townships lead to the urgent need for technical support in townships. Spatial information technology is mainly used in flood disaster research with passive remote sensing and GIS. However, passive remote sensing data is difficult to obtain and is mainly used for post-disaster assessment. In this paper, we propose a GIS-based method for township-level flooding and inundation risk analysis to serve predisaster assessment of flooding. The Hedian Town, Suizhou City, Hubei Province is taken as the study area, and the open source data information is applied to analyze the rainfall and waterlogging processes in different recurrence periods based on historical rainfall, soil and terrain characteristics, classify the flooding risk level, and provide evacuation suggestions. The results show that the research results are basically consistent with the field research and can reflect the flooding risk in the study area more accurately. The method of this paper can provide effective data and technical support for scientific decision-making on flood disaster at the township level. [ABSTRACT FROM AUTHOR]

Lagerstroemia is a native plant in China, which has been cultivated for more than 1 500 years. It is an excellent summer flower woody plant, and is widely used in urban landscaping because of its beautiful color, long flowering period and the advantage of purifying air. The germplasm resources of Lagerstroemia indica are extremely rich. There are about 60 species of Lagerstroemia in the world, 40% of which are in China. The results of national and regional investigations have laid a good foundation for the study of L. indica. In recent years, the cultivation and application of new cultivars have been increased in various regions. The breeding method is mainly traditional breeding, and many new cultivars with good characters and high market value have been cultivated. With the rapid development of breeding technology and molecular biology, a breakthrough has been made in the researches on molecular assisted breeding of L. indica. In this paper, the classification research, germplasm resources, breeding research and introduction and application of L. indica were reviewed. We systematically sorted out the germplasm resources of L. indica in China, including 24 wild species and 350 cultivars, discussed the research process and development trend of breeding of L. indica at home and abroad, and summarized the current situation of introduction and application research. In regard to the current research status of L. indica, this paper offered reflections on future research directions to enhance investigations of L. indica, improve germplasm resource banks, and establish information sharing channels; efforts on breeding should be expanded beyond flower color, fragrance, plant type, resistance and extension of flowering period; and biological and intelligent technologies should be leveraged to strengthen breeding techniques and accelerate innovation in L. indica germplasms. Continuous application forms for L. indica resources should be developed according to local conditions to fully realize their value. [ABSTRACT FROM AUTHOR]

This paper first summarizes the source, distribution and harm to human body of microplastics in the water environment・ Primary and secondary micro plastics can enter the drinking water through surface runoff and sewage plant effluent, which can be absorbed by human body and cause a variety of toxic effects. Then, the treatment principle, removal effect, advantages and disadvantages of new technologies such as membrane technology, magnetic separation, electrocoagulation, photocatalytic degradation and biodegradation were discussed, focusing on the research progress and effectiveness of new technologies・ Finally, the prospect of experimental research and subsequent disposal is put forward・ This paper summarizes the research progress of microplastics removal technology in water environment, in order to provide reference for further reducing energy consumption, improving the removal rate of microplastics in water environment and forming a stable process in the future. [ABSTRACT FROM AUTHOR]

This paper systematically summarizes the ecological restoration efficiency of different aquatic plants on slightly polluted water bodies, such as rivers・ Explain the purification mechanism of aquatic plant restoration water body and analyze the influencing factors (temperature, transparency, pollutant concentration) and the interaction mechanism of aquatic plants in the purification process・ The results showed that the pollutant removal rate of Hg, Fe, Cu and Zn were 32. 6% 〜39・ 7%, 44・ 9% ~ 51 ・ 4%, 63・ 7% ~ 70. 5%, 74・7% ~79・4%, respectively. The removal rate of Co, Ni, Cu, and Zn were 44. 7% 〜45. 3%, 55. 7% ~ 59・ 3%, 64・ 8% ~69・ 4%, and 61.3% 〜65. 4%, respectively. This paper can provide a theoretical basis for the preferred work of aquatic plants in ecological restoration projects. [ABSTRACT FROM AUTHOR]

This paper first describes the key problems that limit the development of metal-halide coordination polymer(XCP) materials, such as poor thermal stability, moisture resistance, heavy metal exudation and so on. Then it is mentioned that the halogen coordination atom is introduced into the traditional coordination polymer・ This strategy can not only effectively improve the light absorption capacity of the material, but also stabilize the excited electrons, which is of great significance to enhance the photocatalytic performance of the materiaL This paper further reviews the research on the photocatalytic degradation of organic pollutants, selective organic synthesis, hydrogen production from water cracking and CO2 reduction of halogenated metal coordination polymer materials, and prospects the application of such materials in the field of photocatalysis・ In order to construct long-term stable XCP to achieve efficient photocatalysis, to provide theoretical reference for expanding the application scale and exploring the structure-activity relationship between structure and performance. [ABSTRACT FROM AUTHOR]

[Purpose/Significance] In order to better realize the goal of digital transformation of education and digital transformation of university libraries, university libraries should strengthen the team building of high-level and high-quality librarians, so as to improve librarians' digital literacy levels and serve the independent training mode of high-level talented professionals in universities. Most of the existing digital literacy research studies farmers, college students, and teachers, whereas few studies focus on the digital literacy of librarians in teaching assistant positions. With the gradual deepening of the digital transformation of libraries and the application of educational technology, the improvement of librarians' digital literacy is particularly important. Therefore, this study aims to establish the correlation between educational technology and librarians, and explore the ways to improve librarians' digital literacy from the perspective of educational technology application, in order to fill in the gaps of current research. [Method/Process] Based on the literature analysis and research background at home and abroad, this paper comprehensively explored the connotation of digital literacy, and the connotation and characteristics of educational technology; through the combination of "online + field", this paper reviewed the practical application of educational technology at home and abroad in university libraries from two aspects of similarity and difference, and discussed the necessity and correlation of librarians to improve their digital literacy. From the three aspects of media literacy, data literacy and ethical literacy, the pathway for librarians to improve their digital literacy was constructed. [Results/Conclusions] This paper extracts three important qualities needed in the application of educational technology, and constructs the way to improve the quality of librarians, so as to improve the effective utilization rate of educational technology and find out the position of educational technology in the library service. Due to the realistic factors such as time and research object, this study still remains in the theoretical aspect, and we need further verify our method's feasibility and practicality. In the future, we will further study the influencing factors of how to improve the digital literacy of librarians, and then improve our method of improving the digital literacy of librarians from the aspects of digital literacy education object, education content, education method, education mode and education evaluation, so as to realize the feasibility of our method. educational technology; university libraries; librarian; digital literacy [ABSTRACT FROM AUTHOR]

[Purpose/Significance] Aiming at the semantic missing and incomplete problems in the process of image organization and retrieval, a framework for semantic description of images in social media is proposed to enrich the existing theoretical system of image description, improve the efficiency and utilization of image retrieval, and provide a reference for the realization of the automatic semantic annotation of images. [Method/Process] First, we conducted a survey and analysis of research progress related to image description both domestically and internationally, summarizing the existing theories of image description and annotation, metadata specifications, and related technical methods. Second, based on the image metadata standards and the theory of hierarchical and categorical description of image features, we constructed a semantic description framework for social media images, focusing on seven layers: external feature layer, content layer, object layer, relationship layer, scene layer, event layer, and emotional layer. We also elaborated in detail the various semantic layers and their interrelationships. Finally, we verified the feasibility of the image semantic description framework by describing the examples of character images and landscape images. [Results/Conclusions] The results of the descriptive examples of character images and landscape images indicate that the image semantic description framework can eliminate the "semantic gap" in image description through semantic associations between different layers, and achieve a multi-faceted, multi-dimensional, and multi-level structured and semantic description of the external and content features of images. It has strong portability and flexibility. However, there are also certain limitations and areas for improvement in this paper: 1) Based on the image semantic description framework proposed in this paper, a prototype system based on image annotation needs to be developed; 2) The images posted by users on social media are closely related to the situation, and they are more likely to express emotions. In the future, more research on the semantic layer of images can be conducted based on the text information posted by users; 3) Future research can further explore the application of deep learning in image and text fusion to achieve more accurate event and emotion recognition. By constructing a more complex neural network structure, the event and emotion information in the image can be deeply mined and fused; 4) When describing images, the study should pay attention not only to static visual features, but also to consider the dynamic course of events. Future frameworks could attempt to combine static and dynamic information to provide richer, more vivid descriptions of images. [ABSTRACT FROM AUTHOR]

Aiming at the target search task, considering the existing problems of unreasonable initial distribution of UAVs and poor consistency of start and end time of swarm tasks in the existing coverage path planning algorithms, this paper designs an equal-time tendency region segmentation algorithm based on the initial scenario of realistic UAV cluster centralized deployment. The optimization goal of the algorithm is to minimize the maximum waiting time of individuals in the UAV swarm, and the task time of the UAV is affected by changing the size of the UAV search area. The algorithm has a secondary structure. The first level is the initial coarse segmentation, which solves the problem of too many iterations of boundary points. In the second level, the task time deviation value is used as the adjustment value to ensure the unity of task time. The simulation results show that the algorithm designed in this paper is more suitable for the scene of concentrated UAV delivery. The algorithm successfully reduces the task waiting time between UAV individuals. It facilitates the secondary scheduling of resources and the synchronous execution of multi-order tasks. [ABSTRACT FROM AUTHOR]

For the lack of command and control modeling principles and mechanisms in the current end-to-end campaign tactical level simulation for unmanned air combat, this paper systematically combs and studies the recent research in unmanned air campaign tactical simulation. Combined with the relevant research, this paper explored the principles and methods of different C2 modeling at different simulation levels and established a C2 simulation system suitable for the characteristics of CISE in unmanned air combat. Further, theoretical and practical guidance is provided for innovative demonstration and evaluation methods of CISE through the effectiveness evaluation support of unmanned air combat tasks. [ABSTRACT FROM AUTHOR]

This paper discusses the reliability deployment of Service Function Chain (SFC) on the hybrid satellite network based on SDN architecture. Firstly, this paper describes the reliability protection problem of SFC, establishes the underlying network and SFC request model, and then establishes the reliability requirement model of network service function and the reliability requirement model of LEO satellite link, and clarifies the optimization goals and constraints. Then, a reliability-based satellite service function chain protection method is proposed, including a reliability protection algorithm based on deep reinforcement learning and a reliability backup algorithm based on LEO satellite node and link. Experiments show that the proposed reliability-based satellite service function chain protection method can improve the SFC request acceptance rate, reduce the average delay, and maintain high request acceptance on hybrid satellite networks based on SDN architecture. [ABSTRACT FROM AUTHOR]

In the ship information big data system, aiming at the problems such as long time consuming, distortion of thermal map effect and poor tracking or lag in the roaming of map software when the client requests a large amount of historical data from the server and draws heat map in real time, this paper proposes an improved real-time generation strategy of map map of ship history activity. Based on the thermal map generation method with the idea of pixel clustering, this strategy uses the image enhancement algorithm based on nonlinear transformation and pixel complement method to correct and optimize the display distortion problems existing in the head map. On this basis, the dynamic loading and drawing strategy and multi-thread real-time mapping strategy are proposed to generate the heat map of the ship’s historical activities. Experiments show that the strategy proposed in this paper has been improved in the efficiency of heat map drawing, mapping effect and interactive experience of map software. [ABSTRACT FROM AUTHOR]

Daylily(Hemerocallis citrina Baroni) had been increasingly widely focus on duo to its exceptional edible, ornamental, and medicinal plant. The lack of new superior cultivars and the single breeding methods have limited the healthy and rapid development of the daylily industry in long time. Tissue culture offers a range of benefits, including a high propagation coefficient, short growth cycle, unrestriction by seasons, uniform seedling quality, and reduced nursery land usage. Therefore, the use of tissue culture technology for rapid expansion is of great significance on its market development, application, and promotion. In this paper, aiming to provide a reference for dealing with various problems in the tissue culture of daylily, improve the survival rate of daylily seedlings, and provide a theoretical basis for the genetic transformation of daylily and the factory breeding for new superior varieties of daylily, daylily was taken as the research object to describe the intrinsic influencing factors in the tissue culture process, including the genotype of plant material and the type of selected explants, and the extrinsic influencing factors, including the period of explant sampling, the type of basic medium, plant growth regulators, and culture conditions. It was found that the tissue culture system for daylily was currently in an immature state, characterized by uncertainties regarding explants and their collection standards, challenges in inducing callus tissue, lack of consistency in optimal culture medium formulations, and low survival rates for transplanted regenerated plants. To address these issues, further exploration is needed to develop a suitable regeneration system for daylily and enhance the management of transplanted tissue-cultured seedlings. Furthermore, the challenges of contamination, browning, and vitrification in tissue culture were outlined in this paper, the future prospects of tissue culture for daylily was also delved into. [ABSTRACT FROM AUTHOR]

Most plant chloroplast genomes are double-stranded circular DNA with a conserved tetrad structure, non-recombination, haploid, uniparental inheritance, moderate evolutionary rate, and highly conserved sequence and structure, and may provide useful information for the evolution of plants. Due to abundant tea germplasm resources, their complex origin, evolution and classification remain largely elusive, resulting in hindering their efficient protection and innovative utilization. In recent, the rapid development of chloroplast genome sequencing technologies has been greatly promoted and being changed into the third-generation sequencing. About 33 sequenced chloroplast genomes from tea plants have been published on NCBI, and the gene types and gene sequence characteristics of chloroplast genomes in tea plants have been partially revealed, and used in the study of classification, identification, origin, evolution, and albino mechanism for tea plants. However, many chloroplast genomes of tea resources remain undeciphered. While reviewing the origin, inheritance, and basic characteristics of plant chloroplast genomes, the paper focused on the review of the sequencing technology, genomic features, gene types, and gene sequences of the published chloroplast genomes from tea plants. The paper briefly presented the application status of tea plant chloroplast genome and finally, and discussed the future application and development direction of tea plant chloroplast genomes. [ABSTRACT FROM AUTHOR]

Wind power generation is of great significance to solve the problem of global energy shortage, and accurate prediction of wind power power is helpful to the reasonable dispatching of wind power grid connection and the reliable operation of power grid. In this paper, a hybrid deep learning model based on variational mode decomposition (VMD), bidirectional long short-term memory network (BiLSTM) and whale optimization algorithm (WOA) is proposed for short-term wind power prediction. First, VMD decomposes the original wind power into multiple sub-modes, effectively reducing the series volatility. Then one BiLSTM model is established for each sub-mode, and WOA is used to optimize the parameters in BiLSTM to improve the efficiency and prediction performance of the hybrid model. Finally, the results of each sub-model are superimposed to obtain the final prediction results. In the experiment, different comparison models are established to illustrate the effectiveness and superiority of the improved strategy. The results show that the hybrid model proposed in this paper has higher prediction accuracy in wind power prediction. [ABSTRACT FROM AUTHOR]

The conductivity of white water in the recycled paper making system is the key factor affecting the efficiency of wet-end additives and the main technical difficulty in wet-end control of recycled paper recycling. This article explores the factors affecting the conductivity of white water in recycled paper pulp by simulating the closed cycle of white water during the papermaking process. The experimental results indicate that the closed cycle of the white water system in recycled pulp papermaking will lead to a significant increase in the conductivity of the white water. The accumulation of inorganic salts is one of the reasons for the increase in conductivity of white water, but when inorganic salts accumulate to dynamic equilibrium, the increase in conductivity caused by inorganic salts does not exceed 5% of the initial conductivity. Under the closed cycle of white water, the organic electrolyte formed by starch degradation and deterioration is the main cause of the continuous increase in the conductivity of white water in recycled pulp. Low temperature and fungicide treatment can effectively suppress the increase in the conductivity of circulating white water. [ABSTRACT FROM AUTHOR]

Diamond possesses an ultra-high thermal conductivity and a wide band-gap. Its electrical resistance could be adjusted for the semiconductor application by increasing the electron and vacancy content introduced by doping different elements. Therefore, diamond is thought to be the final wide band-gap semiconductor materials. This paper firstly introduces the synthesis of diamond by high-pressure and high-temperature (HPHT) method, and then systematically reviews the current status and developments of diamond doping by HPHT. The effects of single-element doping, such as N, B, P, and S, as well as multi-elements co-doping in the diamond crystal growth and its electrical properties are analyzed. In additional, this paper summaries the study diamond doping using first-principle calculation. HPHT annealing could effectively change the combinations of doped elements and the associated vacancies and their distribution. This paper reviews the adjustment of nitrogen-related color centers in diamond by HPHT annealing, elucidating the formation mechanisms of various nitrogen-related color centers. Finally, This paper prospects the potential optical and electrical properties of doped diamonds, highlighting the importance of theoretical calculations and experimental methods for multi-element co-doping investigation to enhance the performance of doped diamonds. [ABSTRACT FROM AUTHOR]

Based on the literature and personal experience, this paper summarizes the clinical manifestations and treatment of macular, parapillary and peripheral choroidal neovascularization (CNV). For macular CNV, the article focuses on the causes and countermeasures of those treated with anti-vascular endothelial growth factor (VEGF) but without response. As for polypoidal choroidal vasculopathy (PCV), the characteristic findings of optical coherence tomography (OCT) may take a role of screening before indocyanine green angiograph (ICGA). The optimal management for PCV recently is intravitreal injection of anti-VEGF combined with photodynamic therapy (PDT). The author also describes the fundus manifestation, fluorescein angiography (FFA), OCT findings, as well as various etiology, intervention and prognosis of parapillary CNV. For the peripheral CNV, clinical manifestation, management, differential diagnosis especially with choroid melanoma are discussed in detail. A recent research which suggested that Peripheral exudative hemorrhagic chorioretinopathy (PEHCR) might be a member of pacychoroidal spectrum disease is briefly mentioned in the paper. [ABSTRACT FROM AUTHOR]

BACKGROUND: Traditional 3D dental segmentation methods usually utilize predefined spatial geometric features, such as curvature and normal vectors, as the reference information for tooth segmentation. OBJECTIVE: To propose an algorithm for complex 3D dental segmentation and deeply explore the correlation between segmentation results and application scenarios. METHODS: A 3D dental segmentation algorithm based on dual stream extraction of structural features and spatial features was established, and the modular design of split flow was used to avoid feature confusion. Among them, the attention mechanism on the structural feature flow was used to capture the finegrained semantic information required for tooth segmentation, and the Tran Net based on the spatial feature flow was used to ensure the robustness of the model to complex tooth and jaw segmentation. This algorithm verified its effectiveness and reliability based on clinical datasets including healthy dental jaws and complex dental jaws such as missing teeth, malocclusion and dentition crowding. The segmentation performance of the model was measured in terms of overall accuracy, mean intersection over union, and directional cut discrepancy. RESULTS AND CONCLUSION: The overall segmentation accuracy of this algorithm in the clinical data set is 97.08%, and the segmentation effect is superior to that of other competitive methods from the qualitative and quantitative perspectives. It is verified that the structural feature flow designed in this paper can extract more precise local details of tooth shape from coordinate and normal information by constructing an attention aggregation mechanism, and the spatial feature flow designed in this paper can ensure the robustness of the model to complex teeth such as missing teeth, dislocated teeth, and crowded dentition by constructing a transformation network (Tran Net). Therefore, this tooth segmentation algorithm is highly reliable for clinicians' practical reference. [ABSTRACT FROM AUTHOR]

pathways. Vitamin B, deficiency increases the risk of cardiovascular and neurological disorders in human. Unlike plants and microbes, humans and other animals cannot synthesize vitamin B, de novo and must acquire it from their diets. Therefore, it is of great significance to study the vitamin B, biosynthesis pathway and to biofortify the vitamin B, content in plants. There are many enzymes involved in the vitamin synthesis pathway, such as pyrimidine synthetase (THIC), thiazole synthetase (THI1), thiamine phosphate synthetase (TH1), thiamine monophosphatase (TH2) and thiamine pyrophosphate kinase (TPK). In this paper, the biological functions of vitamin B, in plants, biosynthetic pathways and functions of synthesis-related genes were summarized based on the latest research progress, and the progress of biofortification through metabolic engineering was reviewed. This paper may highlight opportunities for further improving the content of vitamin B, in plants. [ABSTRACT FROM AUTHOR]

In order to solve the problem that the assessment method of urban water resources vulnerability too subjective and not taking into account the finite rationality of natural person and the psychological behavior characteristics of regret avoidance, which resulting in the distortion of the evaluation results, this paper proposed an urban water resources vulnerability assessment method based on OWA operator empowerment and regret theory. The DPSIR model was used to construct 29 evaluation indexes from the following five aspects including driving force, pressure, state, influence and response. OWA operator was used to reorder the decision data, which fully considered the location and size of data, so as to weaken the negative effect of extreme decision data on weight. The difference between the utility value of decision data and the ideal utility value in the regret theory was selected as the basis to evaluate the subjectivity of experts, so as to realize the objectification of the subjective data of decision making and improve the objectivity of the evaluation results. Finally, this paper evaluated the water resources vulnerability of Zhengzhou from 2017 to 2022, and compared the evaluation results with those of AHP and regret theory, OWA operator and fuzzy mathematics. The results show that the evaluation results of urban water resources vulnerability assessment method based on OWA operator empowerment and regret theory are basically consistent with the evaluation results of other methods, all of which are considered as severely vulnerable water resources in Zhengzhou City. However, the evaluation results of this method have less relative error and are more close to the actual situation, which can be better used for the assessment of urban water resources vulnerability. [ABSTRACT FROM AUTHOR]

The planting structure and spatial distribution of crops are the basis for the estimation of crop losses in flood disasters. In order to meet the accuracy requirements for rapid assessment of crop losses in flood disasters, it is urgent to build a real-time crop survey and disaster assessment method that combines remote sensing technology with ground surveys. Taking the rainstorm and flood disaster in Henan Province in 2021 as an example, this paper comprehensively used satellite remote sensing data and real ground object sample data obtained from field research to carry out a research on the fine classification of crops in Weihui City, Xinxiang, Henan Province, combined with the flood inundation duration calculation results based on remote sensing data, to assess the damage of crops in this flood disaster event in Weihui City. The results show that: a) The main types of flood disasters in Weihui City are high water level intrusion floods in rivers and waterlogging and stagnation in low-lying areas. b) The types of disaster-affected features are corn, the main crops, green forests around roads, and urban areas of Weihui City. The disaster assessment method for flood crops based on multi-source remote sensing data and real ground object samples proposed in this paper has high accuracy and timeliness. [ABSTRACT FROM AUTHOR]

The 20th National Congress made arrangements to comprehensively promote the rural revitalization strategy, and the academic community has carried out a lot of theoretical research results on the effective connection between poverty alleviation and rural revitalization strategy. However, there is a lack of examination of the effective connection between the two strategies from the special geographical field of the counties that have been lifted out of poverty. Taking Yu’an District of Lu’an City as a research sample, the paper analyzes the problems and gaps in industrial development, human settlement environment, cultural construction, government management and other aspects in the effective connection of the two strategies. It is proposed to promote industrial poverty alleviation and industrial prosperity, promote ecological poverty alleviation and ecological livability, promote cultural poverty alleviation and rural civilization, party building poverty alleviation and scientific governance. Thus, the paper explores the realistic path to promote the effective connection between the county poverty alleviation and rural revitalization. [ABSTRACT FROM AUTHOR]

The construction of operation mode and materialized operation of Shaanxi Alliance is an important exploration of the reform of agricultural science and technology system and mechanism innovation, an effective way to improve the innovation system of agricultural science and technology in Shaanxi Province, and an important measure to implement the strategy of high-quality agricultural development and rural revitalization. This paper is based on Shaanxi alliance management system and operation characteristics, with agricultural science and technology collaborative innovation as the goal. The paper learns from the operation mode of China’s industrial technology innovation alliance, the operation mode of agricultural science and technology innovation benchmark alliance and the collaborative innovation mode of Shaanxi agricultural science and technology project of Shaanxi Alliance, and scientifically summarizes the current operation mode of Shaanxi Alliance. At the same time, combining with the existing problems and instability in the operation of the Shaanxi alliance, the future operation mode of the Shaanxi alliance is innovatively constructed from the strategic positioning of the materialized operation of the alliance. In order to run the materialized Shaanxi alliance, this paper envisions three paths of the materialized operation of the Shaanxi Alliance. [ABSTRACT FROM AUTHOR]

Based on the field trips, this paper conducts a comparative study on the competitiveness of major industries in the planting industry in Zhenyuan County. The paper builds an index system for industrial competitiveness evaluation through Analytic Hierarchy Process. An overall score and ranking of the competitiveness of the planting industry are produced based on Delphi method assignment and matrix calculation, which provides a strategy for the agricultural sector to select leading industries that can be guided and supported in the future, as well as puts forward suggestions for the development of local agricultural industries. [ABSTRACT FROM AUTHOR]

In order to meet the growing grain demand in China, the consumption of nitrogen fertilizer in paddy fields will continue to increase in the future, but the nitrogen fertilizer recovery rate in China is only about 30% at this stage. In view of the current situation of large nitrogen loss in paddy fields in China, this paper summarized the current situation and environmental effects of three major nitrogen loss pathways in paddy fields, namely, ammonia volatilization loss, nitrification and denitrification loss, nitrogen leaching and runoff loss, and analyzed the effects of agricultural measures, rainfall, soil types and rice genotypes on nitrogen loss in paddy fields. Based on the research results of domestic and foreign scholars in recent years, this paper proposed the current countermeasures to reduce nitrogen loss in paddy fields, and prospected the future research on measures to reduce nitrogen loss in paddy fields. [ABSTRACT FROM AUTHOR]

With global economic growth and the expansion of the dredging industry, large cutter suction dredgers have become key equipment in this field. This paper is focused on enhancing the efficiency of the super-large cutter suction dredger "Tiankun". By analyzing the challenges of this vessel in rock dredging engineering, a "Dredge-Transport separation" logistical strategy is introduced. To accomplish this goal, it is recommended to develop a split trailing suction hopper dredger specially designed to cooperate with "Tiankun". This paper discusses in detail the issues of compatibility between split trailing suction hopper dredger and "Tiankun" in terms of main dimensions and hopper capacity, fast berthing operations, hopper structure and strength, dredging system, and the vessel's general layout. A novel split trailing suction hopper dredger has been proposed, which can fully meet the needs of coordinating with the rock dredging and transporting operations of the "Tiankun", and achieve a "Dredge -Transport separation" logistical approach. It can carry out later spot dredging operations, reduce the occupation period of the "Tiankun", and thus significantly enhance the overall economic benefits. [ABSTRACT FROM AUTHOR]

Sonar images are prone to problems such as low contrast, low resolution, and edge distortion, so it is difficult to accurately separate effective signals from noise when removing noise from sonar images, resulting in reduced image contrast, unclear edge contours, and severe detail loss after denoising. Therefore, this paper proposes a sonar image denoising algorithm based on adaptive Wiener filtering and 2D-VMD (Two Dimensional Variational Mode Decomposition). First, a noisy image is decomposed using 2D-VMD to obtain a series of sub modes with different center frequencies. Effective modal components are obtained via correlation coefficients and structural similarity, then processed by adaptive Wiener filtering, and finally the filtered modal components are reconstructed to remove noise. The experimental results show that the proposed image denoising algorithm achieves the best results in terms of correlation coefficient and structural similarity, with a peak signal-to-noise ratio slightly lower than that of NSST domain denoising. Taking into account objective data and visual effects, the algorithm proposed in this paper achieves the best performance in image details and edge preservation after removing noise. [ABSTRACT FROM AUTHOR]

Cognitive communication research with Chinese characteristics is both the theoretical innovation and practical exploration in the interdisciplinary fields of communication and cognitive science. In recent years, under the context of interdisciplinary research, cognitive communication research in China is no longer limited to the discussion of its disciplinary boundary and its legitimacy. According to the former literature, researchers have discussed the three main topics of cognitive communication: the knowledge system of cognitive communication, the framework of cognitive neurocommunication and the applied research of cognitive communication. However, the discipline construction of cognitive communication in China is still in the stage of exploration. Both how to form an independent and original cognitive communication knowledge system and how to put the theoretical vision in the local context and respond to the social problems need to be explained and to be closely integrated with Chinese characteristics in the cognitive communication research. In order to systematically illustrate the Chinese characteristics of cognitive communication research, this paper focuses on four basic questions: what to construct, why to construct, how to construct and what to do. Then, this paper constructs a four-dimensional framework which includes the value system, the dynamic system, the knowledge production system and the application system. This paper (1) discusses the theoretical construction with Chinese characteristics in the value system. (2) integrates the background of disciplinary development and the trend of technological development into the dynamic system of cognitive communication research. (3) focuses on the theoretical innovation based on practice in the knowledge production system. (4) then explores the implement of cognitive communication with Chinese characteristics in overall strategic needs of the country. This study suggests that, under the construction of philosophy and social sciences with Chinese characteristics, cognitive communication with Chinese characteristics needs to ascertain the value orientation, characteristic and research objective. Under the impetus of practice power, discipline development power and tool power, cognitive communication continues to have Chinese characteristics. Cognitive communication with Chinese characteristics needs to be completed in terms of establishing the guiding position of Marxism, integrating multi-theory and solving important problems, which can reflect Chinese characteristics in academic research, theoretical construction and problem-orientation. Finally, in the insight of cognitive pattern, exploration of cognitive mechanism and innovation of cognitive tools, the research result of cognitive communication can be used in practical applications. Compared to previous research, this paper has made extensions in the following aspects: Firstly, this paper has constructed the interactive and complex four-dimensional framework for the study of cognitive communication with Chinese characteristics, which suggests the essential requirements of Chinese characteristics in cognitive communication. At the same time, it explores the approach to the local study of cognitive communication, hoping to establish a subject status in constructing original theories, to keep up with local practice and respond to real problems. Secondly, this paper, closely related to the practice of socialist construction with Chinese characteristics, explores the possible practical aspects of cognitive communication, aiming at exploring and solving real problems. The four-dimensional framework helps to explicit the essence, the development motivation, the implementation approach and the application of the study of cognitive communication with Chinese characteristics, which helps to form the Chinese style of cognitive communication, to expand the Chinese research team of cognitive communication, and to infuse Chinese style into the international academic exchange of cognitive communication, which makes the future cognitive communication research move towards the construction direction of "Chinese characteristics" and finally, the cognitive communication discipline with Chinese characteristics will be constructed. [ABSTRACT FROM AUTHOR]

News activities are inherent human activities, and news needs are basic human needs. News activity is a natural part of the daily world, a part of daily activities throughout human history. Besides, news activity is a daily activity that can surpass any artificial media mediation, and it is also a daily activity with the longest history. Professional journalistic activities do not and cannot replace the natural journalistic activities and “life-oriented” journalistic activities in the daily life world. In today's information society and digitalized environment, news activities are becoming more and more closely intertwined with people's daily lives. Accordingly, the relationship between news activities and people's daily lives has become an increasingly important aspect of journalism. However, in contemporary research of contemporary Chinese journalism, scholars have focused extensively on the relationship between news and politics, economy, and culture, and there still has been a noticeable lack of attention given to the relationship between news and daily life. This oversight poses a clear deficiency in constructing a comprehensive independent knowledge system of contemporary Chinese journalism. Recognizing this gap, this paper uses the method of analyzing and interpreting to initiate a preliminary discussion on the relationship between news and daily life from three aspects: daily (life) news itself, daily news and non-daily news, and the relationship between non-daily news and daily life, and puts forward these main insights as follows. Firstly, daily news is the life news that people spontaneously and consciously communicate and exchange in their daily lives, and it is the news about daily life itself and the changes in its surrounding environment. In the process of exchanging daily news, people create opportunities for leisure and chatting, create the possibility of mutual communication and understanding, and using daily news as medium to construct or maintain a certain kind of relationship in life. Secondly, daily life news has different production and communication subjects, different communication content and methods, and different functional roles and goals from professional news and other non-professional news. Thirdly, non-daily news is the basic medium for people to communicate with each other in different life worlds, and it is also the key medium for communicating between the daily life world and the non-daily life world. Finally, the complete news world is composed of all news phenomena and news activities, and the complete symbolic world of news is jointly composed of daily news and non-daily news. To truly understand the news world and reveal the inner law of human news activities, it is necessary to explore the mystery of the complete news world. In a word, this paper believes that the relationship between human beings and news is the overall relationship in news activities, and the problem of the relationship between human beings and news is the general problem of journalism. And the relationship between news and daily life is the foundation of the relationship between people and news, which is an important research object that journalism should pay attention to and should be an indispensable part of building a complete and independent knowledge system of contemporary Chinese journalism. [ABSTRACT FROM AUTHOR]

Paradoxes persistently reside within organizations, and the digital intelligence change amplifies the existing contradictions and chaos. This highlights the prominence of paradoxical elements or the emergence of diverse paradoxes. Moreover, the process of digital intelligence change is inherently a process of addressing paradoxes, and the differentiated responses to paradoxes engender dual effects of either amplification or attenuation. This underscores the cruciality of effectively managing paradoxes for successful digital intelligence change. While research has already validated the importance of addressing paradoxes within organizations and has explored the management of digital intelligence change paradoxes from the perspectives of attitudes, behaviors, and traditional capabilities, further investigation is needed to delve into the exploration of sustaining the effectiveness of paradox management in the context of digital intelligence change. This paper explores the core question of what capabilities are needed to ensure the sustained coordination of paradoxes in order to effectively drive organizational digital intelligence change. Building upon the examination of paradoxes and their management in the context of digital intelligence change, the concept of paradox synergy capability is proposed from the perspective of dynamic capability, integrating the core features of paradoxes of digital intelligence change and their management. Paradox synergy capability characterizes the capability-based view of responding paradoxes of digital intelligence change, which refers to the capability of an organization to promote the realization of change goals by breaking through organizational established boundaries. It involves engaging in multiple coordination processes of interconnecting and transforming the paradoxical bipolar elements that are formed by the continuous conflict between digital and traditional elements. This paper identifies the two dimensions of paradox synergy capability while precisely defining its connotation. Specifically, based on managing the immersive paradoxes formed by the breaking of established organizational boundaries, and the expansive paradoxes formed by proactive crossing of established organizational boundaries, the paradox synergy capability can be divided into two dimensions, namely, internal immersive paradox synergy capability and external extension paradox synergy capability. Meanwhile, this paper explores the impact of paradox synergy capability on the effectiveness of digital intelligence change, including digital intelligence business transcendence, organizational structure change and digital intelligence performance. Furthermore, this paper provides prospects for future research in four aspects. First, there is a need to further validate the effectiveness of the concept and dimensions of paradox synergy capability. Second, on this basis, it is important to examine the promotion mechanism and process mechanism of paradox synergy capability on digital intelligence change. Third, exploring the cultivation mechanism of paradox synergy capability at different levels, such as the organizational level, the employee level, and the technological level. Fourth, conducting cross-level research on paradox synergy capability. The theory contributions of this paper are as follows: Firstly, this paper directs the attention towards the context of digital intelligence change and identifies the underlying principles and core characteristics that give rise to paradoxes in this process. This lays the groundwork for constructing targeted capabilities to address the paradoxes of digital intelligence change and further deepen the research on paradoxes. Secondly, different from existing research that explores the management of paradoxes in digital intelligence change from the perspectives of attitudes, behaviors, and traditional capabilities, this paper incorporates the essential requirements of boundary openness and sustained coordination in paradox management into a dynamic capability framework, proposing the concept of paradox synergy capability and further deepening the research on paradox management in the era of digital intelligence. Lastly, it demonstrates the impact of paradox synergy capability on multiple concepts related to digital intelligence change, expanding the research on digital intelligence change from a capability perspective. Simultaneously, it aims to provide theoretical guidance for facilitating effective implementation of organizational digital intelligence change. [ABSTRACT FROM AUTHOR]

Unlike traditional organizational structure, participants and actors in digital platform-based ecosystems are gathered together in a loosely coupled network structure. How to coordinate different types of participants to achieve value creation is a great challenge for the platform. In the meanwhile, scholars also paid great attention to the governance issues in digital platform-based ecosystems. However, the current research on the dynamic governance mechanism for digital platform-based ecosystems is relatively insufficient, especially lacking of focus on in-depth exploration of the governance mechanism during the whole life cycle of digital platform-based ecosystems. This paper adopts a theoretical analysis method to analyze the dynamic governance mechanism for digital platform- based ecosystems and summarizes the important features, goals and key challenges of digital platform-based ecosystems at different evolutionary stages. Ultimately, we draw the following conclusions. Specifically, in the emergence phase, the digital platform-based ecosystem needs to implement an open-based governance model, which can be implemented through decoupling strategies, open access, designing value creation modes, providing resource information, symbiotic promotion strategies. In the oscillation phase, it is required to implement the control-based governance model, which controls negative factors that may affect the development of the platform by setting access rights, system feedback, dispute resolution mechanisms, behavioral control, external relationship control, and regulating the transaction process to screen complementarities. In the normative phase, it is required to implement the institutionalization-based governance model, which controls negative factors that may affect the development of the platform by allocating consultation procedures, limiting the power of owners, granting autonomy to complementors and ensuring procedural fairness to safeguard complementors. In the renewal phase, it involves the implementation of a change-based governance model to realize the transformation of the platform by improving platform quality, focusing on complementors' responses, focusing on cutting-edge digital technologies, designing collaborative organizations, and facilitating mutual growth. Compared with previous literature, this paper expands on the following aspects: first, previous studies are mostly based on a static perspective, while this paper adopts a dynamic perspective to analyze the important features, goals and key challenges of the evolution of digital platform-based ecosystems in details. Second, previous studies mostly focus on the governance mechanism fordigital platform-based ecosystems at a certain point in time or during a period of time, while this paper portrays the whole lifecycle process of digital platform-based ecosystems' governance mechanism. Third, while previous studies have focused on digital platform-based ecosystem either from the standpoint of platform owner or from the standpoint of complementors, this paper focuses on the perspective of the interaction between platform owner and complementors to explore the dynamic governance mechanism for digital platform-based ecosystems. To a certain extent, the research reveals the internal logic of the dynamic evolution and governance for digital platform-based ecosystems, which helps to understand the development process of digital platform-based ecosystems from the perspective of the whole life cycle, provides decision-making guidance for digital platforms at different stages, and offers ideas for platform owner to better handle the relationship with their complementors. [ABSTRACT FROM AUTHOR]

The mutual trust between the government and citizens is important for their relationship. In particular, public administrators' trust in citizens directly affects their willingness to listen to and adopt citizens' ideas. However, the research on trust in citizens currently is insufficient. This article develops a cultural framework and tests the hypotheses with data from about 4,000 public administrators. The results show that Chinese public administrators' trust in citizens on average is at a moderate level. From a cultural perspective, we focus on three types of independent variables: cultural traits in terms of public administrators' personality and values, public administrators' identification with society and culture, and the channels through which public administrators receive information about society and culture. The results of the regression analysis show that Chinese public administrators' trust in citizens is positively influenced by their propensity to trust, public service motivation, belief in paternalistic leadership, and the use of traditional media for information access. At the same time, it is negatively influenced by public administrators' hierarchical orientation, face-saving, and the use of internet-based media for information access. Overall, culture is an important source of public administrators' trust in citizens. The research question in this article has both theoretical value and policy implications. On the one hand, public administrators' trust in citizens is an important concept in the field of democratic governance and citizen participation, but the research is still in its infancy domestically and internationally. On the other hand, trust in citizens is one of the micro-psychological foundations of macro policy discourses such as adhering to the mass line, developing the whole-process people's democracy, and building a service-oriented government that the people are satisfied with. Research on these policy discourses has been largely normative and at the macro level. This paper uses the perspective of culturalism to expand the study of public administrators' trust in citizens from three aspects. First, important public management variables such as public service motivation and information access have been included in the analysis; second, some important cultural contextual variables were included in the analysis, especially beliefs in paternalistic leadership, administrators' hierarchical orientation, and face-saving, which are closely related to the Confucian tradition; third, a nationwide sample is used to test the hypothesis in a larger geographical range and with more types of public administrators. This article has implications for the construction of China's independent knowledge system of public administration. It not only expands the theoretical perspectives and explanatory variables in general but also incorporates variables with Chinese characteristics that are directly related to Chinese culture. Through the study of the formation mechanism of public administrators' trust in citizens, this paper helps discover and explain the action-level micro- mechanism of Chinese modernization. [ABSTRACT FROM AUTHOR]

In recent years, with the rapid development of modern information technology, intelligent algorithms have been deeply embedded in all aspects of social life, which not only promotes the continuous development of human economy and society to intelligence, but also promotes the overall pattern of society to intelligence, providing technical guidance for the efficient and orderly operation of national governance and becoming an important driving force for the modernization of national governance level and governance capacity. In this context, how to promote the algorithm technology to be more effectively embedded in government governance at this stage, how to counter the origin of technology while giving full play to technical benefits, and how to better achieve the goal of maximizing public value become an urgent proposition of the times. In this paper, an analytical framework is built from the three dimensions of "technology-power-rules" to study the embedding of algorithms into government governance. Taking the practice of embedding algorithms into different scenes of government governance as the observation window, the operational logic and value implication of enabling government governance by algorithms are explored, and it is proposed that algorithm technology can promote public decision-making to be more rational, algorithm power can promote governance behavior to be more inclusive, and algorithm rules can promote government governance to be more fair. At the same time, it focuses on the risks and challenges that may be brought by the application of algorithms with technical, power and rule attributes in government governance practice, such as the black box of algorithm technology blocking the identification of public responsibility, the power of algorithm weakening the autonomy of government and people, and the preference of algorithm rules leading to the loss of governance justice. Combined with the government governance practice in China, it is proposed that in order to promote the intelligent algorithm to be more effectively embedded in government governance and better realize the goal of maximizing public benefits, efforts should be made to promote the moderate transparency of algorithm technology to clarify the chain of responsibility, standardize the operation of algorithm power and adhere to the humanistic governance concept. Different from the "negative theory of algorithm" and "positive theory of algorithm" held by the existing research results, this paper recognizes that the algorithm has both positive and negative external benefits to government governance from the two dimensions of efficiency and value, and focuses on how to avoid or reduce the possible risks and challenges of the algorithm to government governance from the three levels of technology, power and rules, and amplify the positive benefits of the algorithm to the governance process, so that the intelligent algorithm can be truly and effectively embedded in government governance, and promote the quality and efficiency of social governance. [ABSTRACT FROM AUTHOR]

The rapid progress in digital government practices has led to advancements in theoretical research, with theoretical development guiding the implementation of these practices. This paper systematically reviews the research hotspots of digital government from three perspectives: policy guidance, organizational support, and technological governance. These perspectives reflect the interdisciplinary and complex nature of digital government research. The practice of digital government, grounded in digital technology and literacy, has reshaped government responsibilities and governance models, bringing about profound changes in organizational management. This highlights key research directions and trends that future digital government should prioritize. Compared to previous literature, this paper expands on three aspects. Firstly, it clarifies the developmental context of foundational theories of digital government, emphasizing the equal importance of technological governance and collaborative governance. The ultimate objective is to construct a government that is holistic responsive, and democratic, meeting the diverse needs of the general public. Secondly, starting from specific propositions, the hotspots and key issues of digital government research were identified. The relationships between these issues were discussed, emphasizing the crucial importance of understanding the connections among these issues. Extensive empirical research is needed to delve into the logical embedding of digital technology in organizational operations and the evolutionary logic of digital policy changes. It is essential to comprehensively understand the overall development level and driving mechanisms of various dimensions and elements of China's digital government. Thirdly, the paper proposes a series of policy recommendations to support government digital transformation from the perspective of optimizing digital government practices. The research in this paper reveals the interactive process between technology and policy, and the interplay of organizations to some extent. This interaction process involves policy guiding technology, technology adapting to the organizational structure and culture of government institutions, and the organization maintaining consistency with policy and technology. Additionally, the future development of digital government should prioritize not only the research, innovation, and application of digital technology but also the study of the government itself. By emphasizing elements such as technological ethics, organizational operations, policy processes, political interests, rights maintenance, public participation, openness, transparency, fairness, and convenience, it is crucial to examine the process and adaptability of embedding digital technology into these elements. [ABSTRACT FROM AUTHOR]

Based on the basic position of comprehensively building a socialist modernized country, Xi Jinping puts forward the major theoretical propositions of “creating a new form of human civilization with Chinese path to modernization” and “building the modern civilization of the Chinese nation”, emphasizing the continuous development of Chinese civilization in the “two combinations”, especially “ the second combination”, so as to provide a broader and deeper cultural space and a solid foundation of civilization for Chinese path to modernization. The existing literature on the internal relationship between Chinese path to modernization and Chinese civilization is still in its infancy, and there is a lack of systematic and rational interpretation of the specific connotation and significant value of Chinese path to modernization in inheriting and developing Chinese civilization. This paper adopts the method of literature research and systematic analysis, and on the basis of systematically combing Xi Jinping's important statements on Chinese path to modernization, Chinese civilization, modern civilization of the Chinese nation, and new forms of human civilization, summarizes Xi Jinping's core views on the internal relationship between Chinese path to modernization and Chinese civilization, excavates the specific connotation of Chinese path to modernization to inherit and develop Chinese civilization, and systematically and scientifically explains its significant value. Compared with the previous literature, this paper has made extensions in the following three aspects: first, from the theoretical, historical and practical aspects, it expounds the logical way of Chinese path to modernization to inherit and develop Chinese civilization. This paper argues that the continuous development of Chinese civilization in the construction of Chinese path to modernization benefits from Marxism's correct understanding of the interaction between modernization and civilization development, the CPC's high awareness of creating modern civilization of the Chinese nation and promoting cultural innovation, and the practical needs of building a solid foundation of civilization for the socialist path with Chinese characteristics in the new era. Second, it reveals the profound connotation of Chinese path to modernization in inheriting and developing Chinese civilization from three aspects: the logical starting point, overall layout and value pursuit of Chinese path to modernization. This paper believes that the logical starting point of "people supremacy" in Chinese path to modernization has inherited and developed the people-oriented ideology of Chinese civilization, the Five-sphere Integrated Plan has inherited and developed the cultural genes of Chinese civilization, such as benefiting the people and providing them with stability and prosperity, and following the rules of nature, and the pursuit of universal values has inherited and developed the cultural concepts of Chinese civilization, such as peaceful development, staying open and inclusive, embracing the world with a global vision. Thirdly, it systematically explains the great value of Chinese path to modernization in inheriting and developing the Chinese civilization from three aspects: endowing Chinese path to modernization with a deep foundation of civilization, breaking the western civilization myth of "modernization = westernization", and constructing the discourse system of the modern civilization of the Chinese nation led by the CPC. From the perspective of "the second combination", this research systematically explains the logical way, specific connotation and value implication of the continuous development of Chinese civilization in Chinese path to modernization, deepens the discussion on the internal relationship between Chinese path to modernization and Chinese civilization to a certain extent, and is conducive to guiding all sectors of society to strengthen the inheritance of civilization in the construction of Chinese path to modernization, realizing the creative transformation and innovative development of Chinese excellent traditional culture. [ABSTRACT FROM AUTHOR]

This paper analyzes the geological features and drilling fluid loss situations in the China's Sea Basin, identifying the challenges in leak prevention and plugging technology in this area. These include prevalent formation fractures with micro to millimeter-scale multi-scale cracks, and even the coexistence of fractures and cavities, which pose difficulties in choosing appropriate plugging materials and lead to a low success rate for first-time plugging. Moreover, there are extensive sections of weathered crust in the formation, coupled with highly developed fractures and severe fragmentation in some strata, resulting in secondary development of fractures, critical fluid loss or even non-return fluid loss. In response to these challenges, this paper synthesizes a type of gelation plugging agent, BFD-1, using polyvinyl alcohol, polypropylene acid, and organics with hydroquinone structures as raw materials. Experimental results show that the compressive strength of the artificial loose rock core increased by 19.34% after being soaked in 4% BFD-1 aqueous solution. Based on BFD-1, field plugging materials were combined to create drilling fluid systems for leak prevention and plugging for lost channels with different size. The drilling fluid exhibits excellent circulation-lost-control and cementing capabilities, and effectively prevents pressure transmission. The research results provide support for the subsequent lost-circulation control technology in this area. [ABSTRACT FROM AUTHOR]

The majority of postmenopausal osteoporosis (PMOP) is due to deficiency of the spleen and kidney. Acupuncture and moxibustion take significant advantages in the treatment of postmenopausal osteoporosis. By regulating the function of the spleen and kidney, acupuncture and moxibustion achieve the clinical purpose of treating osteoporosis. By summarizing the theoretical origin of PMOP in ancient Chinese medical acupuncture books, this paper explains the etiology and pathogenesis of PMOP in Chinese medicine, and starts from the etiology and pathogenesis of PMOP based on the theory of warming, upping, electroacupuncture, moxibustion in the supervision of the arteries, acupoint burying, acupoint injection and fire needle, etc. Combining acupuncture treatment mechanism with bone metabolism from the perspective of regulating Qi and blood in the whole body and breeding each other in successive days, this paper provides a new treatment idea for acupuncture treatment of PMOP. [ABSTRACT FROM AUTHOR]

Low-light image segmentation is always the difficulty of image segmentation. The low contrast and high fuzziness caused by low light make this kind of image segmentation much more difficult than general image segmentation. In order to improve the accuracy of semantic segmentation in low light environment, this paper proposed a semantic segmentation model of low light scene with filtering light style under noise guidance(SFIS) according to the characteristics of low-light image. The model comprehensively used signal-to-noise ratio as prior knowledge, and adopted different distance interaction for different noise regions in the image by guiding the self-attention operation in the long distance branch and the feature fusion of long/short distance branches. This paper also further designed an illumination filter, which was a module that further extracted the illumination style information from the overall style of the image. By alternately training the illumination filter and the semantic segmentation model, the lighting style gap between different lighting conditions was gradually reduced, so that the segmentation network could learn illumination invariant features. The proposed model outperforms the previous work on the dataset LLRGBD and achieves the best results. The mIoU on the real dataset LLRGBD-real reaches 66.8%, it shows that the proposed long and short distance branch module and the illumination filter module can effectively improve the semantic segmentation ability of the model in low light environment. [ABSTRACT FROM AUTHOR]

Implementing fast and accurate hand detection on embedded devices mainly face two challenges. Firstly, it is difficult for complex deep learning networks to achieve real-time hand detection. Secondly, the complexity of the scene leads to a decrease in the accuracy of hand detection algorithms based on RGB color images. Unlike mainstream RGB image based detection technologies, this paper adopted a lightweight hand detection algorithm based on ToF infrared images to attain precise and swift hand detection within the infrared images. Firstly, this paper gathered 22 419 static infrared images using this self-engineered equipment, thereby establishing an infrared dataset tailored for hand detection. Subsequently, it enhanced a general object detection algorithm to create a lightweight hand detection network known as Retina Hand, using two different lightweight networks, MobileNetV1 and Shuffle NetV2, as the backbone network of the model. Furthermore, this paper proposed an attention-enhanced feature pyramid structure called Attention-FPN. This structure integrated attention mechanisms to enhance the detection process. Ultimately, this paper conducted comparative experiments on the infrared dataset against conventional methods to validate the effectiveness of the method. [ABSTRACT FROM AUTHOR]

TANGRAM block cipher algorithm employs a bit-slice approach and is compatible with multiple software and hardware platforms. In response to TANGRAM-128/128 algorithm, this paper proposed a design plan which used Verilog HDL for FPGA implementation. This paper firstly provided an introduction to the characteristics and processed of TANGRAM algorithm and presented a scheme for reducing resource consumption using a finite-state machine for 44 rounds of encryption and decryption computation. Secondly, the engineering implementation of the FPGA algorithm was completed by the domestic Gaoyun platform and subjected to functional simulation and data correctness validation. Furthermore, relevant tests were performed on Quartus II 13.1.0 platform for comparison. Test results show that, based on Cyclone IV E EP4CE40F29C6 chip from Altera, TANGRAM block cipher algorithm has a maximum clock frequency of 138. 64 MHz and an encryption/decryption speed of 403.30 Mbps. While based on the GW2A-55 chip from Gaoyun, the maximum clock frequency is 96.537 MHz and the encryption/decryption speed is 280. 80 Mbps. [ABSTRACT FROM AUTHOR]

With the development of computer vision technology and the popularization of intelligent terminals, facial recognition under mask occlusion has become an important part of character identity information recognition. The large area occlusion of masks poses great challenges to the learning of facial features. To solve this problem, this paper proposed a multi feature fusion based masked face recognition algorithm based on contrastive learning. This algorithm improved the traditional face feature vector learning loss function based on the triple relationship. It proposed a loss function based on the multi-instance relationship, which fully excavated the intra-modal and inter- modal correlation between multiple positive and negative samples of the masked face and the full face. Then, the features with high discrimination ability were learnt from the face. Meanwhile, it combined the local features such as eyebrows and eyes, as well as global features such as contours, to learn the effective feature vector representation of the masked face. This paper compared it with the benchmark algorithm on real masked face datasets and generated masked face data. The experimental results show that the proposed algorithm has higher recognition accuracy than the traditional triple loss function and feature fusion model. [ABSTRACT FROM AUTHOR]