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Three kinds of commercial ink-jet printing paper were taken as the research objects, which were represented by sample A, sample B and sample C respectively. Sample A and sample C were domestic products Abbott and Jiayi, and sample B was foreign product Gulou. The structure and composition of the three sample coatings were determined, and the surface properties of the three coatings were analyzed. This helps to understand the performance status of inkjet paper products on the market, and has guiding significance for the study of various factors affecting the performance of inkjet paper coatings. AFM and SEM were used to observe the surface morphology of the three samples. It was found that the coating pigment particles of sample A and sample B had good dispersion uniformity, and the coating pigment particles of sample C aggregated and the dispersion uniformity was poor. The results of cross-section SEM and EDS analysis show that only sample B coating has a double-layer structure, in which the bottom layer is aluminum-based pigment and silicon-based pigment, and the surface layer is only aluminum-based pigment. The coatings of sample A and sample C are single-layer aluminum-based materials. The properties of the coating surface of the three samples were analyzed. The results showed that the basic properties of the three samples met the product quality standards. Among them, the coating of sample B had the highest gloss (74.30%), hardness (3H) and water resistance. In terms of ink absorption, the ink absorption of sample B coating (64.7%) was higher than that of sample C (57.9%), slightly lower than that of sample A (69.2%). Sample B had the best comprehensive performance among the three samples. Finally, a double-layer coating process scheme for improving the performance of inkjet printing paper is proposed, which provides a direction for improving the performance of inkjet printing paper and has practical significance for the research of advanced inkjet printing paper. [ABSTRACT FROM AUTHOR]

Utilizing the iron-carbon microelectrolysis technology to carry out in-depth treatment of waste paper and pulp wastewater, the optimal process parameters were determined based on single factor experiments. In addition, the response surface methodology was employed to optimize the process parameters by analyzing the experimental results. Under the optimized conditions, the excita1tion-emission-matrix spectra and GC-MS were used to analyze the water quality of the treated wastewater. The results showed that the optimal treatment conditions of iron-carbon microelectroly1sis process were initial pH=3.0, filler addition amount 255g L-1, reaction time 120 min, aeration amount 0.9 L min-1, and the COD removal efficiency was 32. 14% under these conditions; the maximum predicted value of COD removal rate calculated under the optimal process conditions was 34.57% from the response surface analysis, which was basically consistent with the experimental results. The results of excitation-emission-matrix spectra analysis showed that the iron-carbon micro1electrolysis process was effective in degrading humic acid and fulvic acid in waste paper and paper wastewater, and GC-MS analysis showed that the relative content of eicosanoids in wastewater was reduced from 43.31% to 4.79% of the original water after the iron-carbon microelectrolysis treat1ment, but a small amount of new pollutants were generated at the same time. [ABSTRACT FROM AUTHOR]

Test paper, a type of paper product chemically treated to produce color changes in response to specific substances, serves as a valuable tool for rapid detection and analysis. This experiment, based on the surface modification of glass fiber filter paper, introduces a heavy metal ion detection test paper designed with the fluorescence sensing characteristics of rare earth complexes. The test paper demonstrates its effectiveness and convenience in detecting heavy metal ions in water sources. The innovative test paper proves highly useful in addressing heavy metal ion contamination in water, emphasizing the significant role of chemistry in advancing ecological civilization. The simplified, safe, and environmentally friendly process of creating the test paper yields a practical and user-friendly product. This experiment not only educates on the general production and testing principles of test papers but also sparks students' interest in scientific exploration and application. The experiment, characterized by its simplicity, repeatability, low entry barrier, environmental friendliness, and safety, possesses a unique color aesthetic, leaving a lasting impression. It is suitable for conducting popular science experiments in public places and promoting awareness in experimental teaching across various educational levels. [ABSTRACT FROM AUTHOR]

With the rapid development of flexible electronics industry, the conventional PET, PEN and other plastic substrates are unable to satiate the requirement due to higher cost and low light extraction efficiency. Paper has broad prospects as a flexible substrate due to its wide access, low-cost and thinness. In this paper, we integrated epoxy resin into sulfuric acid paper to fabricate a new type of substrate: plastic-paper. The plastic-paper has excellent optical properties, mechanical properties as well as water and chemical stability, as found through testing. Results show that the surface flatness and wettability of the paper are improved by the application of epoxy resin coating. The plastic-paper has a high optical transmittance up to 88.25%, reaching the same level with PET substrate. And the plastic-paper also has a high transmittance haze of 62.9%, which is far higher than PET substrate. The plastic-paper has a tensile strength up to 108.4 MPa, along with excellent water and chemical stability. Successful fabrication the organic light-emitting device on the plastic-paper surface and emitted uniform light based on the principle of light-emitting electrochemical cell (LEC), under atmospheric condition. The best device performance with a maximum luminance of 396. 2 cd m-2, a maximum current efficiency of 0.64 cd A-1, which is 2.9 times higher than that of PET substrates, providing more excellent optoelectronic properties. The developed plastic-paper with high optical transmittance and high optical haze holds a great potential in flexible optoelectronic devices. [ABSTRACT FROM AUTHOR]

Traditional paper dyes are easy to fade under photothermal conditions, in contrast. waterborne organic pigments have excellent tinctorial strength and high light and weather resistance, which can meet the requirements of highend paper yarn to coloring efficacy and light fastness of the colorants. However, the lack of chemical and hydrogen bonds between organic pigment particles and plant fibers, and the pigments are difficult to fix in the structure of the paper. In this study, cellulose nanofibers (CNF/TOCNF) were used as the primary skeleton network and carboxymethyl cellulose (CMC) macromolecules were used as the secondorder reinforcement network, together construct a multilevel gradient network to enclose and fix organic pigment particles. The dispersion and fixation of the pigment particles are realized by double coating. The results show that the coloring efficacy and colorfastness of the paper yarn base paper can be improved significantly by using the gradient network to fix the pigment particles, and has a positive effect on improving the strength and roughness of the paper. This study has an important role in solving the problem of coloring technology in the production of high-end paper yarn. [ABSTRACT FROM AUTHOR]

A total of 479 government procurement contract announcement and 402 original contract texts for paper resources were collected and sorted from the "Government Procurement Contract Announcement System" of the China government procurement network in Double First-Class university libraries. Through statistical and textual analysis, this paper provides a comprehensive analysis of government procurement contracts for paper resources in double-class university libraries. It examines the overall situation and key terms of these contracts, identifies existing problems, and incorporates the latest laws, regulations, and business practices. It presents several optimization suggestions for the standardized management of government procurement contracts for paper resources in university libraries in China. These suggestions include: standardizing the process of signing and announcing contract information, avoiding the indiscriminate application of contract model text, strengthening the compliance review of contract amount/ price terms, refining product quality service standards and breach of contract liability terms, clearly stipulating settlement and payment terms, and refining the performance acceptance terms. These suggestions aim to provide a useful reference for improving the management of government procurement contracts in university libraries. [ABSTRACT FROM AUTHOR]

In order to fully consider the random variation of sieving process parameters,this paper constructs the reliability-based optimization model for reconstituted tobacco process parameters,which taking the percentage of fibers below 12 mesh as the optimization objective,water flow rate and pulp concentration as the design parameters, and the percentage of fibers over 50 mesh as the probabilistic constraint. Firstly, the current process parameters are used as inheritance points for Latin hypercube sampling and screening experiments. Based on this, an initial Kriging model is constructed to fit the implicit relationship between water flow velocity, smoke slurry solid content, and the proportion of fiber mass below 12 mesh and above 50 mesh. And local adaptive sampling (LAS) was carried out to update the Kriging model to ensure the approximate accuracy of key positions at optimization iteration. Finally,Monte Carlo simulation (MCS)-Sequential quadratic programming (SQP) was used to solve the optimization model of screening process parameters. The results indicated that the optimized water flow rate and pulp concentration were 6.31 L/ min and 0.53%, respectively. Under this process parameter, the proportion of fiber below 12 mesh was 13.72%, which was 7.19% higher than before optimization. The proportion of fibers over 50 mesh was 17.65%, which was a decrease of 4.13% compared to before optimization. This method could meet the optimization requirements of screening process parameters for paper making reconstituted tobacco leaves. [ABSTRACT FROM AUTHOR]

Banana fusarium wilt has a significant adverse effect on the banana industry. It is worth noting that fusarium oxysporum f.sp. cubense 4(Foc4) is one of the most devastating and widespread pathogens of banana fusarium wilt in the world. It is a catastrophic threat to the global banana industry. At present, there is still no technology that can cure bananas infected with banana fusarium wilt. Therefore, it is extremely important for banana planting industry to detect banana fusarium wilt in time and do a good job in prevention and control. In order to realize the early accurate detection of banana fusarium wilt race 4, this study proposed a detection method of double probe paper-based sensor based on colloidal gold, which increased the use of signal enhancement probes to increase the binding amount of colloidal gold, thereby reducing the detection limit. Two kinds of colloidal gold particles with different particle sizes were combined with the corresponding detection probes and signal enhancement probes to form a double gold label probe system. The large particle size colloidal gold was used with the detection probe, while the small particle size colloidal gold was paired with the signal enhancement probe. The sample being tested was mixed with this double gold-labeled probe system. The Foc4 target sequence in the sample would be paired with the double gold-labeled probe to form a ' gold-labeled probe-target sequence-T-line probe ' complex, which continued to migrate to the water-absorbing pad. The complex was captured on the test area of the sensor. Within 10 minutes, the test paper would generate a visible target product that could be observed by the naked eye at both the test line and the quality control line areas, thus achieving qualitative detection. For quantitative detection of Foc4, the light intensity of the test strip would be further analyzed using software. The light intensity peak area was obtained and substituted into the standard curve to obtain the concentration of Foc4 detected and realize quantitative detection. Experimental results demonstrate that the detection limit of the dual-probe paper-based sensor is 0.001 nmol/L, which is 100 times of that of the traditional paper-based sensor, and the detection sensitivity is improved. The sensitivity test results demonstrated a strong linear relationship between the concentration of Foc4 and the peak area of the test line light intensity within the concentration range of 0.001-1 000.000 nmol/L. This finding suggests that the sensor can be effectively employed for quantitative detection. To assess specificity, a high concentration of non-complementary probe was utilized as the target sequence for detection and compared with the detection results of samples containing Foc4. The experiment revealed the absence of a red band at the test line when the test paper was detected by the noncomplementary sequence. Importantly, this observation indicated that the presence of the non-complementary sequence had minimal impact on the detection effect, thus affirming the sensor's excellent specificity. Finally, the paper-based sensor was used to detect Foc4 in banana leaves. The average recovery rate was 77.6%-102.3%, and the relative standard deviation was 7.4%-7.7%, indicating that it can be used for on-site detection of Foc4. The detection technology possesses the characteristics of being low-cost and easy to operate. In comparison to traditional detection methods, it enables timely, rapid and accurately determination of the presence of Foc4. Compared with the existing molecular detection technology, the detection can be completed without the need of expensive equipment or specialized personnel. This feature makes it highly suitable for widespread use. The dual-probe paper-based sensor realizes the combination of nucleic acid lateral chromatography detection technology and banana fusarium wilt detection. Its potential for widespread adoption in the early disease warning system of the banana industry is substantial. Furthermore, this technology can be combined with traditional polymerase chain reaction (PCR) and other techniques to facilitate on-site detection of Foc4. [ABSTRACT FROM AUTHOR]

In order to fully reveal the characteristics of university library service innovation and provide enlightenment for the development of library science theories and based on analysis on CSSCI papers of case studies on university library services from 2020 to 2023, the article analyzes the characteristics of innovative service from the dimensions of types, themes and ideas, sorts out the innovation path, and discusses the essence of innovative service of university library. The results show that innovation is most active in basic services and comprehensive services, while the ten “Double First-Class” university libraries holding a higher number of innovative service cases. Among the popular innovation themes, popularity of topics such as reading promotion and information literacy education continued, while topics such as emergency services had a clear trend of concentration and significant characteristics of the times. The highly cited innovation case papers cover multiple topics but tend to be consistent in nature in terms of collaboration, multi-resource structure, and new media application. The essence of service innovation is to seek the best match between resources and needs, while technology is a tool to match resources and needs. [ABSTRACT FROM AUTHOR]

Traditional federated learning faces challenges such as high communication costs, structural heterogeneity,and insufficient privacy protection. To address these issues, this paper proposes a federated learning evolutionary algorithm that applies sparse evolutionary training algorithm to reduce communication costs and integrates local differential privacy protection for participants’ privacy. Additionally, it utilizes the NSGA-Ⅲ algorithm to optimize the network structure and sparsity of the global federated learning model, adjusting the relationship between data availability and privacy protection. This achieves a balance between the effectiveness, communication costs, and privacy of the global federated learning model. Experimental results under unstable communication environments demonstrate that, on the MNIST and CIFAR-10 datasets, compared to the solution with the lowest error rate using the FNSGA-Ⅲ algorithm, the proposed algorithm improves communication efficiency by 57. 19% and 52. 17%, respectively. The participants also achieved（3. 46, 10-4） and（6. 52, 10-4）-local differential privacy. This algorithm can effectively reduce communication costs and protect participant privacy without significantly compromising the accuracy of the global model. [ABSTRACT FROM AUTHOR]

Considering the uncertainty of market demand, the uncertainty of the number of returned products and the risk of facility interruption, the carbon quota policy and the construction of new energy facilities are taken as the key factors affecting the decision-making. A dual-objective robust optimization model with minimum total cost and carbon emissions of supply chain network is established, and a Prim-NSGA II algorithm is designed to solve the model. The effectiveness of the algorithm is verified by comparing with the IGD and SM indexes of the traditional NSGA II algorithm. The optimal network planning scheme under different uncertainties and the management countermeasures under different parameters are obtained. The results show that the algorithm achieves the purpose of accelerating the convergence speed and maintaining the diversity of the population. It is verified that the robust optimization model can realize the comprehensive improvement of the robustness, economic and environmental benefits of the closed-loop supply chain network, and provide decision-making basis for decision makers to formulate specific carbon emission reduction schemes. [ABSTRACT FROM AUTHOR]

The study aimed to explore the nutritional value of sea buckthorn by-products and the antibacterial effects of their extracts on Escherichia coli. The experiment employed the sodium nitrite-aluminum nitrate method to determine flavonoid content, while alcohol extraction and water extraction methods were used to extract active substances from sea buckthorn by-products. The antibacterial effects of sea buckthorn by-product extracts on Escherichia coli were investigated by the filter paper method, perforation method, and broth dilution method. The results showed that the dry matter (DM) content of sea buckthorn by-products was 97.98%, ash content was 3.41%, crude protein (CP) content was 12.87%, and crude fat (EE) content was 22.48%. With the increase of sea buckthorn by-product addition, gas production showed a decreasing trend. Among alcohol extraction and water extraction methods, the constant broth dilution method exhibited the best antibacterial effect. In the alcohol extraction method, the filter paper method showed good antibacterial effect with an inhibition zone of 14.6 mm. In the water extraction method, the filter paper method did not exhibit a significant inhibition zone, and the perforation method was not significant in both alcohol extraction and water extraction methods. The study suggests that sea buckthorn by-products have rich nutritional value, and alcohol extraction is more effective in inhibiting Escherichia coli compared to water extraction. [ABSTRACT FROM AUTHOR]

[Objective] The influence of the container soldering time on the appearance and internal quality of the finished cigarette was clarified. [Method] This paper independently developed a set of tools for measuring the tightness of strip transparent paper. With the tightness of strip transparent paper, the depression of strip transparent paper, the conventional chemical composition of tobacco, the release amount of conventional flue gas composition and the sensory quality as measuring indicators, the influences of different container soldering time on the quality of finished tobacco were compared. [Result] When the soldering iron temperature is lower than 135 ℃ and the time is less than 2 min, it has no significant influence on the dimness of the cigarette box, the tightness of the transparent paper, the chemical composition of the tobacco, the emission amount of the flue gas and the sensory quality. When the cigarette machine stops for a short time (no more than 2 minutes), it can start production normally without considering the influence of the fine container soldering iron. After the machine stops for more than 2 minutes, the strip cigarette staying on the soldering iron of the beautiful container should be taken out in time to avoid affecting the product quality. [Conclusion] The study provides a reference for the optimization of transparent paper packaging in cigarette production. [ABSTRACT FROM AUTHOR]

BACKGROUND: Due to the unstable drug release rate of uniaxial bone scaffolds, multi-structure composite printing methods have been sought in and outside China in recent years. Currently, coaxial drug-loaded bone scaffolds, which combine drug-loaded sustained release system with bone transplantation and repair technology, not only replace the defective bone after implantation, but also release drugs slowly, providing a microenvironment conducive to bone formation at the implant site. OBJECTIVE: To explore and assess the in vitro antibacterial properties of uniaxial and coaxial minocycline hydrochloride bone scaffolds. METHODS: Rapid prototyping technology was used to prepare uniaxial hydroxyapatite/silk fibroin-polyvinyl alcohol scaffold, uniaxial hydroxyapatite/silk fibroin-polyvinyl alcohol scaffold, coaxial hydroxyapatite/silk fibroin-polyvinyl alcohol scaffold, and coaxial hydroxyapatite/silk fibroin-polyvinyl alcohol scaffold, respectively, which were named S1, S2, T1 and T2. The morphology, porosity, degradation performance, in vitro sustained-release performance and cytotoxicity of scaffolds were characterized. Four kinds of bone scaffolds were immersed in PBS to prepare the extracts at different time points (1, 3, 5, 7, 14, 21, and 28 days). The qualitative filter paper was placed into the extract for 24 hours. The filter paper was co-cultured with Porphyromonas gingivalis and Fusobacterium nucleatum for 72 hours. The bacteriostatic effect of four groups of scaffolds was detected by the agar diffusion method. RESULTS AND CONCLUSION: (1) Scaffold characterization: Four groups of scaffolds were well formed. The surface of micro-wires in the S1 and S2 groups was dense and smooth, and the surface of micro-wires in the T1 and T2 groups was rough. Porosity was between 40%-47% and met the requirements of bone scaffolds. Compared with the S2 group, sustained release time was longer in the T2 group. The sustained release concentration of the drug was between 1- 10 μg/mL for a long time, which was more conducive to bacteriostasis and osteogenesis. After 10 weeks of immersion in PBS in vitro, the degradation rate of the coaxial printed bone scaffold was faster than that of the corresponding uniaxial printed bone scaffold, and the degradation rate of the coaxial loaded bone scaffold was lower than that of the coaxial non-loaded bone scaffold. The four groups of scaffold extracts were co-cultured with osteoblasts respectively. CCK-8 assay displayed that the cell proliferation rate was greater than 75%, which met the requirements of biocompatibility. (2) In vitro antibacterial effect: S1 and T1 did not have antibacterial activity. S2 and T2 had an obvious antibacterial effect. Under the extraction solution on day 28, the diameter of Porphyromonas gingivalis and Fusobacterium nucleatum inhibition zone in the S2 group was smaller than that in the T2 group (P < 0.05). (3) These findings exhibit that hydroxyapatite/silk fibroin-polyvinyl alcohol scaffolds with coaxial minocycline have good physical properties and bacteriostatic properties. [ABSTRACT FROM AUTHOR]

Carbon nanotubes as novel nanomaterials, which are widely used in biomedical field. Through the respiratory tract, digestive tract, and circulation, carbon nanotubes can come into contact with vascular endothelial cells and damage the endothelial cells. In this paper, the factors effecting the damage of carbon nanotubes to endothelial cells was reviewed, and the effects of carbon nanotubes on endothelial cell inflammation, monocyte adhesion, lipid accumulation, endothelial permeability, angiogenesis, and pro-coagulant ability were reviewed. Meanwhile, this paper reviewed that carbon nanotubes promote the formation of atherosclerotic plaques and the impairment of blood-brain barrier function by damaging endothelial cells in animal experiments, so as to provide a reference for decision-making on the application of carbon nanotubes in biomedical field [ABSTRACT FROM AUTHOR]

Based on the theory of spatial form analysis characteristics, this paper investigated and studied the elderly care service system of Shimen County, Changde City, Hunan Province. Based on the environmental characteristics of the remote rural areas in the county, such as high cold and barren, dispersed human settlements, and blocked traffic, this paper conducted POI spatial analysis through Arc GIS and applied nuclear density analysis to visualize the data of elderly care facilities in Shimen County. The coupling law between the characteristics of the spatial form environment and the rural old-age service system in Hunan is explored, and the interactive process of the reconstruction of the rural old-age service system promoted by the action subjects such as counties, townships, rural communities and community residents is explored. The study found: The reconstruction of the rural elderly care service system is a complex dynamic process, which is affected by the geographical space environment and human customs, etc. It is necessary to analyze and improve the hierarchical structure of the county and rural elderly care service from the three levels of macro-, mesoscopic-and micro, and select a reasonable old-age service model according to the gradient difference of the three-level county and rural elderly care service system, so as to improve the multi-level old-age service pattern in which each fulfill his responsibilities. To realize the effective connection of the three-level elderly care service system in the village. [ABSTRACT FROM AUTHOR]

Aiming at the problems of incomplete efficiency composition, limitation to single working condition calculation and lack of power loss analysis in the current efficiency model research of hydro-mechanical continuously variable transmission（HMT）, this study establishes a full-condition efficiency model of HMT considering the power loss of transmission components and accessories. Firstly, the general efficiency model of HMT variable pump-quantitative motor is established, and the relevant parameters are recognized according to the efficiency test data; then the efficiency models of other HMT transmission mechanisms and accessories are established, and the complete HMT efficiency model is obtained by combining the efficiency models of each part. Based on the self-developed HMT, the calculation is carried out to obtain the full working condition efficiency map and the loss power of each component mechanism, the test bench is built, and the efficiency test is carried out on the HMT to validate the accuracy of the model, and the average absolute errors of the efficiencies of the HM1 section and the HM2 section under full working condition are 0.027 3 and 0.026 1, respectively, which improve the accuracy of the HM1section and the HM2 section by 64.59% and 55.46% respectively, comparing to the accuracy of the comparative methods. Combined with the efficiency diagram and power loss situation to analyze the HMT efficiency characteristics and influencing factors, the results show that: 1) the HMT efficiency model in this paper is mainly affected by the load and the displacement ratio e of the hydraulic unit, and the influence of the input speed is not significant; 2) the main influencing factors of this paper’s HMT efficiency model are the load under the low load, and the displacement ratio under the high load; 3) the power loss of the pump motor has the greatest influence on the HMT efficiency, and the hydraulic loss power is large when e ＜ 0. The HMT efficiency is low; when e = 0, the hydraulic loss power is 0, and the HMT efficiency reaches the highest; 4) the power loss of gears and clutches does not have a negligible impact on the HMT efficiency, and the consideration of the power loss of other accessories is conducive to the improvement of the modeling accuracy. Measures to improve the efficiency of HMT:1) Try to avoid HMT working under power cycling conditions for a long time, and recommend operating at purely mechanical points and their nearby work points under the premise of prioritizing load demand and ensuring engine economy; 2) Avoid prolonged low load operation, and should be kept in high load conditions; 3) Select high-efficiency hydraulic unit or improve the transmission efficiency of the hydraulic unit by improving the parameters; 4) Improve parameters to reduce power loss under the premise of meeting the performance requirements of gears and clutches. [ABSTRACT FROM AUTHOR]

Dietrich Bonhoeffer was appointed by the Confessing Church to organize a seminary at Finkenwalde during the Kirchenkampf. What he taught and published during this period were those concerning Christian spirituality, sermons, and biblical interpretation, rather than his renowned specialized fields, that is, systematic theology and philosophical theology. The purpose of this paper is to analyze the contents of and to highlight the distinct principles followed in Bonhoeffer’s biblical interpretation works less well-known to theological scholarship. This paper points out, the two interpretation principles Bonhoeffer advanced in that particular moment of faith crisis were what he called “Christ in the Old Testament” and “Contemporizing the Texts,” to strengthen the faith of the believers on the one hand and to resist the potential threat from liberal Protestants’ historical-critical method, on the other hand. Finally, the paper argues that the biblical and pastoral works that Bonhoeffer devoted to at Finkenwalde were not for the sake of avoiding to stand on the front line of Confessing ChurchNazi conflict, but rather a theologically necessary adjustment according to the actual raison d’être. [ABSTRACT FROM AUTHOR]

Chiral pesticide enantiomers often show different bioactivity in controlling harmful organisms. It is of great significance to pay attention to the selective activity of chiral pesticide enantiomers to promote the reduction and efficiency of pesticides and to develop green agriculture. In this paper, according to the research status of enantioselective activity of chiral pesticides, the research on enantioselective activity mechanism is summarized into two aspects: On the one hand, computer simulation technology is used to analyze the binding ability between enantiomers and active sites of target molecules, and a few of them have also carried out biological experiments; on the other hand, the study explored the differences in absorption, transportation and metabolism of chiral pesticide enantiomers in biological systems by means of radioisotope tracing and quantitative analysis of metabolites. This paper aims to provide reference for the identification of highly active activity chiral pesticide monomers and the development of new green pesticides with high efficiency and low risk. [ABSTRACT FROM AUTHOR]

In the research and practice of multi-agent systems, formation path planning is particularly crucial, as it not only ensures the safe operation of agents but also enhances the efficiency of the system in task execution. This study introduces a multi-agent formation path planning method adapted for dynamic and complex environments, ensuring the system’s real-time responsiveness in dynamic obstacle avoidance and formation shape maintenance. This paper develops two core algorithms： One is dedicated to local motion planning and the other is focused on global path planning. The local motion planning algorithm iteratively uses semidefinite programming and quadratic programming to identify obstacle-free convex regions around agents and optimizes formation parameters through continuous convex optimization techniques. This approach effectively addresses the issue of multi-agent formation avoiding dynamic obstacles, ensuring the stability of the formation while adhering to environmental constraints. In the global path planning phase, this concept is further utilized by sampling obstacle-free convex regions in free space, combined with constraint optimization to calculate transitional formations between the initial and target formations, and employing graph search algorithms to find the optimal path to the target formation. This paper utilizes MATLAB to build a complex warehouse environment with both dynamic and static obstacles to verify the effectiveness of the method. It also compares the approach with the virtual structure method and probabilistic roadmap (PRM), demonstrating its superiority in terms of efficiency and accuracy. [ABSTRACT FROM AUTHOR]

The fish bone active camber (FishBAC) is a kind of mechanism which depends on structural deformation to realize changes in airfoil camber. Compared with traditional discrete flaps and lifting devices, it can achieve wing curvature changes while maintaining the continuity and smoothness of the aerodynamic surface. However, relying on structural elastic deformation to achieve the basic characteristics of wing curvature may lead to potential aeroelastic problems. This paper investigates the potential aeroelastic issues of flexible wings from two aspects of structural characteristics and aeroelastic characteristics. In the aspect of structure analysis, an equivalent structural model of FishBAC is established based on Euler beam theory, and a segmented stiffening method is employed to enhance computational efficiency while maintaining accuracy for non-uniform beam structures, which is verified by the finite element analysis. In the analysis of aeroelastic characteristics, the aeroelastic behavior is investigated based on an equivalent rigid-flexible coupled model and unsteady aerodynamic theory. The findings indicate that consideration of structural flexibility is essential in FishBAC modeling, as neglecting it may lead to deviations in predicting aeroelastic characteristics. The results show that the static aeroelastic characteristics can be exactly predicted under the driving torque of less than 1.5 N·m. Additionally, using the airfoil model proposed in the paper to consider the rigid-flexible coupling characteristics of the structure and predict the bending flutter that occurs in the flexible section, the simplified model maintains consistency in flutter velocity prediction compared with MSC Nastran. [ABSTRACT FROM AUTHOR]

This paper systematically reviews the research advancements in indium oxide (In2 O3)-based gas-sensitive materials and focuses on their potential applications in environmental monitoring and safety. It provides an in-depth analysis of the structure, properties and gas sensing mechanisms of indium oxide, detailing the impact of various synthesis methods (such as hydrothermal and chemical vapor deposition) on the microstructure and performance of the materials. Additionally, this paper discusses the applications of modification techniques, including element doping, material loading and semiconductor compositing in enhancing gas sensitivity. It also analyzes current research challenges and future directions, offering significant perspectives and directions for further research and application of indium oxide-based gas-sensitive materials. [ABSTRACT FROM AUTHOR]

The existing change detection methods are difficult to balance local features and global features, and the boundary between change objects and backgrounds is blurred, so this paper proposed a remote sensing image building change detection method based on local-global feature coupling and boundary guidance. In the encoding stage, the method adopted parallel convolutional neural network and Transformer to extract the local features and global representation of remote sensing images, respectively. At different scales, the local-global feature coupling module fused local features and global feature representation to enhance the expression ability of image features. In addition, it introduced the boundary guidance branch to obtain the prior boundary information of the change objects, so that its guide change map can highlight the structural characteristics of the building and promote the accurate boundary location. This paper conducted experiments on the LEVIR-CD and WHU datasets, resulting in F1-score of 91.25% and 91.27%, IoU of 83.90% and 83.95%, respectively. The experimental results show that the method has a great improvement in the detection accuracy and good generalization ability. [ABSTRACT FROM AUTHOR]

In order to solve the drawbacks of existing brain extraction network, i. e., complex network structure, large amounts of parameters and low inference speed, this paper proposed a novel network 3D UNeXt for fast and effective brain extraction. 3D UNeXt greatly reduced parameters and the number of floating point operators(FLOPs), and achieved promising results with the combination of 3D convolution, 3D MLP and multi-scale feature fusion. 3D UNeXt used U-Net as the basic architecture and employed 3D convolutional modules to obtain local features in encoding stage. Specifically, the proposed 3D MLP module at the bottleneck stage enhanced the extraction of global features and long-range dependencies among them. In decoding stage, this paper designed a lightweight multiscale feature fusion module to effectively fuse multiscale low-level features and high-level counterparts. In detail, the 3D MLP module performed linear shift operations in three different axes to obtain global receptive fields from different dimension features and establish long-range dependencies among them. This paper compared 3D UNeXt with other counterparts on three datasets: IBSR, NFBS, and HTU-BrainMask. Experimental results show that the 3D UNeXt is superior over other baselines in terms of network parameters, FLOPs, inference accuracy, and inference speed. [ABSTRACT FROM AUTHOR]

Cooperative encryption and decryption is an important research direction in secure multi-party computation. It can achieve data protection and privacy protection safely and efficiently. To solve the problem of high computational complexity in the offline calculation phase of existing SM4 collaborative encryption and decryption schemes, this paper proposed a new SM4 collaborative encryption and decryption scheme based on oblivious polynomial evaluation. The scheme utilized pre-calculated polynomial sets and sets of polynomial values to complete S-box collaborative computation in the online stage, thereby improving the performance of the online calculation stage. This paper proved the correctness and security of the proposed scheme, and compared with four different schemes, the results show that the computational efficiency of the proposed scheme is significantly higher than that of other schemes. This shows that the proposed scheme can complete SM4 cooperative encryption and decryption safely and efficiently. [ABSTRACT FROM AUTHOR]

Federated learning is a kind of advanced distributed machine learning algorithm, which realizes multi-party cooperative training while ensuring the user's control over the data. However, the existing federated learning algorithms have many problems in dealing with Non-IID data, gradient information leakage and dynamic user offline. To solve these problems, this paper proposed a gradient hidden safe clustering and privacy-protecting federated learning based on quaternion, zero sharing and secret sharing techniques. Firstly, it used quaternion rotation technology to hide the first-round model gradient and achieve secure clustering stratification without altering the gradient feature distribution, so as to solve the performance degradation issue caused by Non-IID data. Secondly, this paper designed a chain zero sharing algorithm, using single strategy to protect the user model gradient mask. Then, it used the threshold secret sharing to improve the robustness against offline users. Multi-dimensional comparison with other existing algorithms shows that the accuracy of SCFL is improved by about 3.13%~16.03% under the Non-IID data distribution, and the overall running time is improved by about 3~6 times. Mean while, the security of information transmission is guaranteed at any stage, satisfying the design goals of accuracy, security and efficiency. [ABSTRACT FROM AUTHOR]

Aimin at the copyright problem surrounding 3D models of neural radiation fields focused on implicit representation, this paper tackled this issue by considering the embedding and extraction of neural radiation field watermarks as inverse prob-lems of image transformations, and proposed a scheme for protecting the copyright of neural radiation fields using invertible neural network watermarking. This scheme utilized 2D image watermarking technology to safeguard 3D scenes. In the forward process of the invertible network, the watermark was embedded in the training image of the neural radiation field. In the re- verse process, the watermark was extracted from the image rendered by the neural radiation field. This ensured copyright protection for both the neural radiation field and the 3D scene. However, the rendering process of the neural radiation field may result in the loss of watermark information. To address this, the paper introduced an image quality enhancement module. This module utilized a neural network to recover the rendered image and subsequently extract the watermark. Simultaneously, the watermark was embedded in each training image to train the neural radiation field. This enabled the extraction of watermark in- formation from multiple viewpoints. Experimental results demonstrate that the watermarking scheme outlined in this paper effectively achieves copyright protection and highlights the feasibility of the proposed approach. [ABSTRACT FROM AUTHOR]

Aiming at the situation of imperfect spectrum sensing of cognitive radio in actual cognitive ultra-dense network sce- narios, this paper proposed a resource allocation scheme based on imperfect spectrum sensing. The target was to maximize the energy efficiency of secondary network in cognitive ultra-dense network with imperfect spectrum sensing while taking into ac- count cross-tier/co-tier interference constraints and ensuring users quality of service. And this paper constructed the energy efficiency optimization problem based on the network model, which was a mixed integer non-convex programming problem, then transformed it into an equivalent convex optimization problem by the time-sharing relaxation method and Dinkelbach me- thod, and finally used the Lagrangian dual method to get its optimal solution, thereby obtained the sub-channel and power allo- cation strategy for optimal energy efficiency. Based on this, this paper proposed an iterative sub-channel and power allocation algorithm. In order to trade off the computational complexity, this paper also proposed a practical sub-channel and power allo- cation algorithm. Simulation results show that the proposed algorithms effectively improve energy efficiency. [ABSTRACT FROM AUTHOR]

Multi-source energy supply is an effective way to increase the proportion of clean energy and assist manufacturing enterprises in green and low-carbon transformation. However, due to factors such as season and weather, renewable energy output fluctuates, affecting the stability of energy system supply. To address this problem, this paper constructed an uncertain integer programming model for the coupling optimization of enterprise production operation and energy planning, using interval numbers to describe the uncertain information of energy output. At the same time, it proposed a multi-objective hybrid whale swarm algorithm by designing multiple group fusion strategies and external file update strategies, which effectively utilized the optimization characteristics of each algorithm to improve overall performance and obtain a better Pareto solution set. Finally, it demonstrated the feasibility and effectiveness of the proposed model and solution method through comparative experiments on algorithm performance and energy strategies. At the same time, the advantages and competitiveness of the algorithm designed in this paper to solve uncertain optimization models and the multi-source energy supply mode can effectively help enterprises achieve energy conservation, emission reduction and sustainable production goals have been verified. [ABSTRACT FROM AUTHOR]

With the widespread application of machine learning models, researchers have gradually recognized the limitations of such methods. Most of these models are black-box models, resulting in poor interpretability. To address this issue, this paper proposed a rule-based interpretable model and rule reduction method based on ensemble learning models, which included generating optimized random forest models, discovering and reducing redundant rules, and other steps. Firstly, this paper proposed an evaluation method for random forest models, and optimized the key parameters of random forest models based on the idea of reinforcement learning, resulting in a more interpretable random forest model. Secondly, the rule sets extracted from the random forest model were subjected to redundancy elimination, resulting in a more concise rule set. Experimental results on public datasets show that the generated rule sets perform well in terms of prediction accuracy and interpretability. [ABSTRACT FROM AUTHOR]

In the context of zk-SNARK, MSM emerges as the predominant computational bottleneck. To address this problem, this paper proposed a GPU-based parallel MSM computation approach. Firstly, the method performed fine-grained task decomposition of MSM to enhance algorithmic computational parallelism, fully leveraging the extensive parallel computing capabilities of GPU. Additionally, it reduced data transfer overhead by employing shared memory for the parallel reduction of sub-MSM tasks within the same window. Secondly, the method introduced a window partitioning strategy based on thread-level task load analysis of the underlying computational modules to search for the optimal scalar window, thereby minimizing the computational cost of MSM subtasks. Lastly, the method optimized the data storage structure used for scalar form transformation and mitigated latency issues in the large-scale scalar form conversion process by employing data overlap transfer and hidden communication time. This paper implemented the MSM parallel computation method based on CUDA on NVIDIA GPU and established a comprehensive zero-knowledge proof heterogeneous computing system. Experimental results show that the proposed method achieves an acceleration ratio of 1.38 times compared to the current state-of-the-art MSM calculation module of cuZK. The overall system based on the improved MSM is 186 times better than the industry-popular Bellman, and 1.96 times better than cutting edge heterogeneous version Bellperson, validating the effectiveness of the approach. [ABSTRACT FROM AUTHOR]

To effectively address the real-time updates of passenger demand orders on online carpooling platforms, this paper proposed an algorithm for continuously assigning orders to drivers with unfinished orders. The proposed algorithm ensured an increase in driver earnings while enhancing the dispatch efficiency of the carpooling platform. Specifically, this paper developed a double-layer scheduling model which maximized the total driver revenue on the basis of the service quality and operational costs of the carpooling system, and proposed a double-layer algorithm for this model. The bottom layer involved the construction of a model for the carpooling routing problem, which was solved by using an improved genetic algorithm. The upper layer determined the order of task assignments, which adopted the greedy algorithm to call the model in the botton layer and compared revenue changes to obtain the final scheduling result. The model demonstrated its effectiveness and feasibility through a specific example, validating the prompt determination of order matching results and travel routes. The calculated results faithfully reflect real-world scenarios. Comparative experiments shows that the model not only achieves the goal of increasing driver earnings, but also effectively reduces delay time and travel distances. This has positive reference significance for related studies on carpooling scheduling problems in the context of real-time order updates. [ABSTRACT FROM AUTHOR]

Dynamic 3D mazes present more challenging environments for reinforcement learning due to their uncertainty and incomplete information. Conventional reward functions can lead to slow and ineffective task training. This paper proposed an event-triggered integrated rewards scheme to solve the problem of finding multiple targets in a dynamic maze using reinforcement learning. The scheme expressed the various behavioral states in the 3D maze as events, which in turn derived the rewards. This paper divided rewards into environmental rewards and internal rewards. Environmental rewards directly related to the 3D maze mission and included node rewards reflecting the mission objectives and constraint rewards reflecting the mission constraints. Internal rewards linked to the agent's emotional state during the learning process and encompassed both judgement and mood rewards. The average performance of the integrated reward shows a 54.66% improvement compared to the upgraded reward. The results suggest that the integrated reward scheme offers benefits by increasing satisfaction with task completion, promoting exploration, and boosting training efficiency. [ABSTRACT FROM AUTHOR]

This paper proposed a particle swarm algorithm based on pyramid layer topology to optimize energy consumption trajectories of industrial robots. The algorithm introduced a pyramid layer topology to sort and stratify the particles thus improving the competitive strategy of the algorithm and increasing the population diversity. The algorithm introduced a new cooperation strategy to update the speed and position of the particles. It introduced a victory percentage to adaptively adjust the weight coefficients of the particle swarm algorithm and improved the search efficiency of the particles. In order to verify the effectiveness of the algorithm, this paper tested it on the set of test functions and compared it with other eight variants of particle swarm algorithms. The results show that the performance of the proposed algorithm has significant advantages. Finally, it applied the algorithm to industrial robot trajectory planning. Simulation experiments show that the algorithm can effectively solve the optimal trajectory of the robot's energy consumption, and the energy consumption of the robot is significantly reduced, which meets the kinematics and dynamics constraints of industrial robots. [ABSTRACT FROM AUTHOR]

This paper aimed to optimize the node selection problem in existing oracle machine schemes in the blockchain environment in order to improve the accuracy and reliability of oracle machine node selection. This paper introduced ORLM, a deep reinforcement learning based middleware for blockchain prophecy machine node selection. This middleware considered the consumption of multiple nodes under different service demands and modeled the reputation value of the prophecy machine nodes to sick the reputation value of the oracle machine data-providing nodes, thus avoiding the selection of nodes with malicious history as much as possible. With the deep reinforcement learning DQN algorithm, the middleware is able to optimize the process of selecting nodes for better node selection with security. The experimental results show that the oracle middleware is able to better satisfy the service requests of users. And it has high scalability and availability. It proves that the introduction of deep reinforcement learning to optimize the oracle node selection is a feasible direction. [ABSTRACT FROM AUTHOR]

At present, it is a general trend to introduce intelligent detection and control into traffic signal control system, especially reinforcement learning and deep reinforcement learning methods show great technical advantages in scalability, stability and extensibility, and have become a research hotspot in this field. This paper studied traffic signal control tasks based on reinforcement learning, systematically sorted out the classification and application of reinforcement learning and deep reinforcement learning in the field of intelligent traffic signal control on the basis of extensive research results on traffic signal control methods, and summarized feasible solutions to large-scale traffic signal control problems by using multi-agent cooperation. This paper classified and summarized the factors affecting the traffic scene of large-scale traffic signal control, put forward the current challenges and potential research directions in this field from the perspective of improving the performance of traffic signal controllers. [ABSTRACT FROM AUTHOR]

Semantic segmentation plays a crucial role in various fields such as medical image analysis and battlefield situatio- nal awareness. However, a single client often cannot provide a sufficient quantity and diversity of training data for the model. Therefore, it is necessary to train semantic segmentation models from distributed data, which exhibits complex and diverse characteristics. To prevent data privacy breaches and safeguard data security, the application of federated learning in the col- laborative training of semantic segmentation models across multiple clients has become a hot research topic in the field. Buil- ding upon the definition of federated semantic segmentation, this paper conducted a comprehensive analysis around the key characteristics of data heterogeneity and label deficiency in distributed complex data samples. The study encompassed a review of issues, methods, and exemplary model instances in federated semantic segmentation, evaluating the applicability and cha- racteristics of different methods, summarizing current application outcomes. The paper also proposed potential research oppor- tunities to address the issues of data heterogeneity and label deficiency. The research provides insights and references for the development of federated semantic segmentation methods and related studies tailored for distributed complex data samples. [ABSTRACT FROM AUTHOR]

As a global research topic, leather artifacts have been studied even longer than other materials. And the archaeology and research on them is more abundant in foreign countries. The technology of leather manufacturing, an ancient craft, has a long history of development, and can be traced back to the Paleolithic Age, which is almost as long as the history of human civilization. Therefore, the study of leather artifacts and their historical development is of great significance to the restoration and protection of leather artifacts. After reviewing earlier literature and books, this paper had a preliminary understanding of the unearthed situation and status of ancient leather abroad. With further reading, it finally analyzed and summarized the unearthed leather artifacts from nearly 39 regions of five continents. The structure of this paper is composed of three aspects: the situation of foreign leather artifacts, the characteristics of cultural relics and the leather tanning techniques. Firstly, it analyzed and summarized typical archaeological sites with abundant resources such as the Austrian salt mine, Danish marsh, Rome leather factories in Europe, Asia, Africa and so on, to understand the time, burial environment and uses of unearthed leather artifacts, so as to analyze the tanning process. Europe is rich in unearthed artifacts dating back to prehistoric times, including Iron Age hide fragments from the Italian ice fields, prehistoric hide fragments of shoes from the Swiss ice fields, and more than 200 Iron Age hides from the Hallstatt salt mine in Austria. The Pazyryk tombs of the Iron Age in the Altai Mountains of Asia provide important information for understanding the natural beast art style of the Altai Mountain areas. Egyptian leather, affected by the Nubian culture in Africa, is rich in colors and materials. Through reviewing the history and development of ancient leather in many areas, this paper further analyzed the tanning process, which could provide clues and information for the protection of ancient leather artifacts. Secondly, the ages of leather artifacts were divided into Neolithic Age, Bronze and Iron Age, A.D. to the 5th century A.D., and Middle Ages, and the characteristics of leather artifacts in different ages were analyzed by taking study areas as examples. For instance, in the Neolithic period, people used the serrated edges of stones and cherts to cut animal skin, and stitched leather with bone needles, bone spurs or plant fibers. The leather that Otzi the icaman wore in the late Neolithic period was made of animal tendons sewn by plants as stitches, which confirmed the characteristics of this era. Finally, the ancient leather tanning techniques were mainly plant tanning, mineral tanning, smoke tanning and oil tanning. Through understanding the leather artifacts of 39 regions, the characteristics of ancient tanning process were analyzed and compared. The result of the tanning process depends on a number of factors, such as the type of hides (bull or cow hides), breeds (cow or sheep leather), living conditions (animals’ health condition), the quality of the raw hides, the properties of different parts of the same hide and the tannin. With the plant tanning as an example, the source of plant tannins and the differences in functional groups in tannins affect the efficiency of tanning and the properties of tanned leather. Based on the published literature on leather artifacts, this paper widely collects, collates and analyzes the distribution of foreign leather artifacts and their characteristics, and summarized four ancient leather tanning techniques. Sorting out the relevant data of leather artifacts in 39 regions and understanding the human living environment and cultural history can help further study the development of leather in the context of the times. The study of various uses of leather can enrich the development of leather tanning technology, and research on tanning technology and tannins used is of great significance for the restoration and protection of leather artifacts. The tanning process of many unearthed leather artifacts is hard to determine. Thus, the analysis of four ancient tanning processes summarized by predecessors is emphasized in this paper to compare the differences between tanning techniques. The aim is to determine the tanning method of unearthed leather artifacts with more advanced and non-destructive technology and methods and to fill the gap of tanning information of leather artifacts for the protection and restoration. And this paper clarifies the development characteristics of the world leather artifacts and provides a reference to enhance the international study level of leather artifacts in China. [ABSTRACT FROM AUTHOR]

Nisu and Muji of the Yi nationality and Tuliao of the Zhuang nationality are ethnic groups from the Mengzi area of Honghe Hani and Yi Autonomous Prefecture. These three settlements may overlap or become closely connected, showing a distribution state that “the ethnic groups live among each other, while some live in concentrated communities of their own”. Despite the different languages of each ethnic group, people in the three ethnic groups can all use the local dialect of Mengzi for communication and have long had intersections in production and life. Thus, the daily dresses of the three ethnic groups shows a unified trend that is difficult to distinguish from the outside world. Therefore, the analysis of the evolution of the three costumes is conductive to interpreting the phenomenon of costume acculturation and revealing the deep reasons for their cultural blending and symbiosis. Based on field research, this paper provides substantial evidence such as image data, clothing objects and ancient literature, and analyzes the evolution and causes of the daily dresses of the three ethnic groups. As shown by the research, the daily dresses of the three ethnic groups have experienced an evolutionary process from dissimilarity to convergence, as specifically reflected in three aspects. First, the daily dresses of the three ethnic groups in the Qing Dynasty are quite different from the current gradually convergent dresses. Due to the policy of bureaucratization of native officers and the influence of Han culture, their tops gradually evolve into the “Da Jin Yi” style, with lapels leaning towards the right side. The “Zhuiji” (a cone-shaped hair bun atop the head) is replaced by the “Baotou” (a headdress that wraps the head with a headscarf), but the separate style of upper and lower garments persists. Second, due to the geographical proximity of their respective settlements as well as frequent interactions such as intermarriage and economic exchanges in various forms, the customs of the three ethnic groups gradually merge, inducing to a closer resemblance in clothing. However, distinctive elements of each ethnic group are still retained in their clothing. On the one hand, the typical wear for females in the daily dress of the three ethnic groups includes wearing tops, pants, and Baotou, with a focus on apron adorned with distinctive patterns around the chest and abdomen. Nonetheless, there are differences in apron decorations, embroidered shoe styles, and headwear designs among them. On the other hand, paper-cutting embroidery is a common technique for the costume of the three ethnic groups. This decorative craft is most exquisite among the Nisu women, while Muji and Tuliao females have largely lost the paper-cutting skill. Furthermore, the disappearance of the Zhuang language has gradually detached females’ clothing from its ethnic system. The blending and mutual influence of cultures inevitably assimilates their clothing, ultimately presenting a distinct “Yi” style. Third, as a new cultural construction phenomenon, the current clothing image results from the interaction, integration, acceptance, and adaptation among the three ethnic groups. It not only maintains the aesthetic characteristics and regional features of each ethnic group in terms of patterns and styles, but also absorbs and draws upon elements of Han clothing culture. Thus, the clothing finally shows the acculturation characteristics of the blending of multiple cultures. This paper takes the integration and evolution of females’ daily dresses of the three ethnic groups as the starting point. Based on the field research, clothing data are collected from these groups. Besides, historical literature is combined with oral accounts from cultural inheritors. The study is aimed to clarify the characteristics, similarities, and differences of typical daily dresses since the Qing Dynasty. Additionally, the paper seeks to gain an insight into the reasons behind the three ethnic groups’ mutual integration, so as to shed light on exploring cultural identity and cultural blending among different ethnic groups. [ABSTRACT FROM AUTHOR]

Globally, design management and its related concepts have attracted much attention from experts and scholars in design, sociology, economics and other related industries, and the design policy research involved in design management is gradually becoming one of the core elements for countries to promote the development of the fashion industry, condense the characteristics of the regional fashion culture and build fashion centers. Looking back at history, economic development, capital accumulation and national development are all closely linked to the prosperity of the textile industry. The prosperity of the textile industry has undoubtedly provided a solid foundation for the rise of the fashion industry. Although there are differences in the development paths and methods of the fashion industry in various countries, the active intervention and guidance of the fashion industry at the national level is a common theme, which is manifested in design management and policies. Take Britain as an example, the country has introduced a series of policies driven by official design organizations, which include strategic planning at the national level as well as policy measures proposed by industry associations, all of which have helped the fashion industry to become an important pillar of its economic development. As modern industry attaches great importance to design innovation and economic development, governments are gradually realizing the industrial benefits and economic value brought by design, and are committed to promoting research on the formulation and implementation of design industry policies. However, the formulation and improvement of design policy do not happen overnight, but through years or even decades of gradual evolution and optimization, which is is particularly obvious specially in fashion design, a unique economic field and cross-disciplines. In this paper, through combing the development of design policy and fashion industry in Britain, interpreting typical cases from a historical perspective, analyzing the logic between design policy and fashion industry, and summing up the historical experience and value of the contribution of design policy to the development of the regional fashion industry, the paper aims to provide a clear picture of the development of the fashion industry in Britain. Firstly, the design policy was placed in the context of design management for the corresponding analysis of design policy and the fashion industry in Britain. Secondly, the British fashion process was divided into four phases: germination, development, transformation, and renewal, so as to compare and analyze how the driving factors behind the fashion phenomena presented by the British fashion industry under the guidance of design policy and its leadership interacted with each other and formed synergy. Finally, the paper summarized the three stages of transformation and development of the British fashion industry and analyze the impact of design policy on each stage of transformation. It is hoped that the reconfirmation of historical samples will inspire design management research in the process of China’s fashion development, promote the integration and development of China’s design policy and fashion industry, and provide a model for the transformation of China’s fashion brands and the construction of the fashion consumer market. [ABSTRACT FROM AUTHOR]

The Party Central Committee has placed a high priority on the preservation and transfer of cultural heritage in recent years. To this end, the Committee has released several significant documents, including Opinions on the Implementation of the Project for the Inheritance and Development of Excellent Traditional Chinese Culture, which clearly outline the goals and objectives of the preservation of intangible cultural heritage and are extremely significant both historically and practically. The national intangible cultural heritage list has gradually added many areas of the blue calico printing and dyeing procedures. It is discovered that there is some literature on blue calico, but there are not many in-depth discussions of the topic. The research angle on blue calico is primarily concentrated on its creative design and application, as well as its in a particular area. The term “comprehensive discussion” refers to the fact that all blue calico is included in the summary rather than being restricted to a specific area, and there is a dearth of literature that analyzes the data and text that have been transformed into pictures, graphs, charts, and diagrams from the standpoint of visualization. Therefore, it is very crucial to create a knowledge map and visualization analysis of the blue calico to comprehend the development state, identify research hotspots, and forecast the future development trend of the blue calico. Professor Chen Chaomei of the Drexel University in the United States created CiteSpace, a Java application for information visualization that has been widely used in a variety of fields. Its features include a good visualization effect, a large amount of information provided, simple operation, etc. To analyze the literature in the field of blue calico in terms of publications, authors and collaboration, source journals and institutions, keyword clustering mapping, and bursts, the paper chose journal articles and dissertations from the CNKI database. The paper then used CiteSpace visualization software to analyze the literature and provide a summary of the research content on China’s blue calico over the previous 23 years. Data support for the development of new research directions can be obtained through data visualization and analysis of the existing blue calico research literature from multiple dimensions scientifically and systematically, and understanding the current status and hot trends of blue calico research from a macroscopic point of view. It is discovered that: there are very few complete works on blue calico, and the research varies greatly by location; colleges and universities are the primary sources of literature research institutions, with the majority of them being collaborations between the same institution and department; the design of patterns or motifs, protection and inheritance, and innovation and development are the keywords that are concentrated in these areas; the literature research has undergone three phases: the period of exploration, the period of development, and the period of innovation and inheritance; and improving product design, cultural and creative products, printing, and dyeing direction is going to be a major trend in the future. The legacy of blue calico must adapt to the current circumstances while providing effective protection. Achieving a balance between inventive progress and inheritance requires the integration of current technology and digital communication while maintaining the use of natural raw materials, traditional techniques, and inherited pattern styles. [ABSTRACT FROM AUTHOR]

The high-quality natural luster of silk fabrics is its essential feature that distinguishes them from other natural fiber fabrics, making them stand out among many fabrics. In the evaluation of visual style of clothing, luster can give fabrics different image perceptions. Words such as “noble”, “gorgeous”, “advanced” and “classical” often appear in describing glossy silk, while they are rare in describing cotton and linen fabrics of the same color. In addition to fiber properties, yarn structure and fabric organization, fabric color is also an important factor affecting fabric gloss. Existing studies have found that there is a good linear relationship between luster and brightness of fabrics, while the relationship between brightness and luster of fabrics has not been discussed in detail. Specifically, the luster index belongs to the physical properties of the fabric, and it can not directly represent the quality of the luster of the fabric. The luster sensation of fabric is an index that connects the visual aesthetic needs of consumers. After visual stimulation of people through the surface luster of fabric, people’s brain can form feelings and cognition, which belongs to people’s subjective perception and evaluation of the visual style of fabric. To further explore the impact of brightness on the luster of silk fabrics and establish an evaluation system for the luster of silk fabrics, this paper explored the impact of brightness on the luster of silk fabrics based on eye tracking technology and subjective evaluation methods. With gaze time, number of gaze points, number of entry times and first entry time as indicators, the subjects’ visual preference for the luster of silk fabrics with different brightness values was analyzed from the perspective of visual perception, and the evaluation indexes of pleasure, arousal, luster warmth, luster softness and luster brightness were analyzed from the perspective of emotional perception. The results show that the brightness attribute of silk fabrics has a significant influence on the attention degree of fabric. The fabric with too high or too low brightness has a low attention degree, while the fabric with medium brightness has the highest attention degree. The brightness attribute has a significant impact on the fabric emotion and the perception evaluation of luster. The gray fabric with medium brightness has the softest luster and makes people feel the most pleasant, comfortable and relaxed; the white fabric with high brightness has the brightest luster and makes people feel the most awake. There is little difference in luster warmth between fabrics with different brightness values. There is a significant correlation between the visual attention of silk fabrics and the perception of fabric emotion and luster. The higher the fabric pleasure score is, the higher the visual attention of silk fabrics will be. The higher the arousal rating of the fabric, the more likely the subjects are to be attracted to the fabric. In this paper, the influence of brightness on the luster of silk fabrics is studied from the two dimensions of visual perception and emotional perception, so as to provide reference for silk design and inject new vitality into the development of the silk market. [ABSTRACT FROM AUTHOR]

From the founding of the People’s Republic of China to the early days of reform and opening-up, China printed and issued a great number of samples of silk samples for export by different compilation subjects, different versions of form, and different sales markets. However, of these silk samples collected from the collecting institutions and individual collectors, many scattered single-volume or single-page samples lack the annotation of relevant compilation and issuance time. This issue has brought difficulty and confusion to the collection and researchers on the examination and utilization, and even misunderstanding on the citation and research. It also leads to the the fact that it is difficult to properly reflect the collection value, historical value, cultural value, and social value of this part of the samples. Taking the series of exported silk samples compiled and issued by China Silk Company and other companies in the previous years as the main object, this paper clarified the compilation and form characteristics of the editions in different years from the physical form of the editions. Moreover, from the cultural form of the editions, the paper explored the relationship between socio-economics, foreign trade strategy, science and culture and the changes of the editions, as well as their value and contribution to the development of China’s modern silk design and silk foreign trade. The research results provide meaningful references for the collection and identification of exported silk samples of modern days, the study of the history of Chinese silk design, and the innovative design of modern silk. The paper clearly defined some conceptual problems of editions in the study of exported silk samples by drawing on the relevant research methods of edition studies, archival science, bibliography etc. The paper also carried out in-depth research, collection and sorting of the silk samples between 1957–1985, and examined and elaborated the compilation subjects, the form of editions, and the compilation characteristics of each period, providing detailed and accurate documentary evidence and graphic references for the screening of single-page silk samples compiled in different periods and by different subjects, and solving the confusion and problem that it is difficult to judge the specific age when confronting various single-page silk samples in the study of the history of modern silk design. Exported silk samples are one of the main transmission carriers of silk design culture and silk trade. The paper believes that, whether it is the study of exported silk samples or domestic silk samples, if it is only concerned about the silk sample or its general archival value, while ignores the identification and thorough examination of the subject, time and mode of dissemination of the samples from the perspective of editions, and ignores the discussion on the relationship between the formation and development of the samples and the driving forces such as politics, economy, culture and ideology, then there may be some limitations and deviations in the cognition, understanding and conclusion of the research, which will further affect the academic rigor of the research on satin varieties and colors and the development of silk design history. Therefore, the textual research and exploration of the issue subject, time and historical context of silk samples in different periods, and the compilation principle, as well as the overall analysis and demonstration of silk samples as a material form reflecting “historical presence”, should become the subject of full attention in the study of the history of modern silk design. [ABSTRACT FROM AUTHOR]

In the context of the rapid development of the digital economy information technologies represented by cloud computing Internet of Things and digital twins are fully embedded in the garment industry. The garment industry is rapidly reorganizing the entire industrial chain from design to after-sales. At present China's garment industry as a laborintensive industry is facing the dilemma of gradually weakening cost advantages market contraction weak high-end product development and manufacturing capabilities. Accelerating the pace of technology integration and improving the innovation ability of garment enterprises to cope with the development dilemma has increasingly become the consensus of the industry and academia and even the focus of government decision-making. By combing the literature it is found that there is little literature on the evaluation of innovation ability of textile and garment enterprises and there are problems of strong subjectivity in the evaluation process and insufficient sample size. At the same time driven by digital technologies such as big data artificial intelligence and industrial Internet the innovation process of garment enterprises is gradually integrated and a new index system needs to be constructed to evaluate their innovation ability. To promote the technological progress and innovation development of clothing enterprises this paper took China's listed clothing companies as the research object analyzed the main factors affecting the innovation ability measured the level of innovation ability and evaluated the innovation ability. The research time interval is from 2016 to 2022. Through the analysis of the relevant literature in the field of textile and garment this paper chose the listed companies in the textile and garment industry. After excluding the enterprises with delisting risk undisclosed annual report and termination of listing during the sample period this paper selected 25 sample enterprises that have survived. In terms of evaluation methods global factor analysis has the advantage of objective results in dealing with multi-dimensional and multi-index index system which meets the needs of research. Therefore this paper introduced the dimension of digital level and constructed the evaluation index system of innovation ability of listed clothing companies which contains 15 indicators in five dimensions innovation input innovation output business performance environmental factors and digital level. Based on the panel data of 25 listed Chinese clothing companies from 2016 to 2022 the global factor analysis method was used to aggregate 15 quantitative indicators into five common factors. The weights of these common factors were determined according to the corresponding variance contribution rate and then the scores of each common factor were weighted and averaged to obtain the innovation ability score. After obtaining the score of enterprise innovation ability the average scores of common factors and comprehensive factors of sample enterprises were calculated to explore the overall level of innovation ability. Three major conclusions were drawn. First R&D investment and patent output enterprise growth business environment and digital talents regional scientific research environment and equipment digitization level positively affected the innovation ability of listed clothing companies. Among them R&D investment and patent output had the highest variance contribution rate of 20. 32% which was the key factor affecting innovation ability. Second during the sample period the average score of innovation ability continued to decrease from 0. 003 to - 0. 011 indicating that the overall innovation ability of listed clothing companies was still at the middle and lower levels. Third the average score of business environment and digital talent factor decreased from 0. 024 to 0. 020 in fluctuation while the average score of regional scientific research environment and equipment digitization level factor continued to rise from - 0. 002 to 0. 013 indicating that the overall level of digitization of sample enterprises was good. Finally this paper put forward four major suggestions. First the core enterprises of the supply chain need to enable the enterprises on the chain to share the dividends of digital applications and also shoulder the burden of promoting the whole chain of digital technology. Second enterprises with weak innovation ability should increase investment in innovation resources and actively carry out digital cooperative innovation. Third the government should introduce diversified support policies improve the level of patent application services in the garment industry and accelerate the construction of information technology infrastructure. Fourth it is necessary to rely on industry associations and professional societies to build a digital innovation exchange platform and share digital innovation achievements. This paper evaluates the innovation ability of listed clothing companies from five aspects innovation input innovation output business performance environmental factors and digital level. It is found that innovation ability is affected by R&D investment patent output enterprise growth business environment and digital talents regional scientific research environment and equipment digital level. Follow-up research can measure the level of equipment digitization from more perspectives such as digital fixed assets plus digital intangible assets divided by total assets. [ABSTRACT FROM AUTHOR]

Weaving and embroidering are the craft of weaving knitting or embroidering with cotton linen silk wool and other textile materials. China is the starting point of the Silk Road the birthplace of sericulture silk reeling and silk weaving and the exquisite skills of the weaving and embroidery industry enjoy a high reputation in the world. The patterns of woven and embroidered artifacts present historical cultural and artistic values highlight the formal beauty of plastic arts in traditional Chinese culture and provide rich material resources for cultural and creative design. However the traditional weaving and embroidering design mainly relies on manual pattern extraction which has problems such as high cost complicated steps long cycle and low efficiency. To this end this paper proposed an algorithm based on genetic algorithm to adaptively determine the optimal threshold value of Canny operator to automatically extract the patterns in the images of woven and embroidered artifacts improve the extraction efficiency and effect make the artifacts "live" and promote the inheritance and protection of traditional Chinese culture. To realize the automatic extraction of patterns from images of woven and embroidered artifacts and solve the problem that traditional Canny operators need to manually determine the threshold for edge detection of images of woven and embroidered artifacts and that the extraction efficiency is not high the article took the images of woven and embroidered artifacts as the research object proposing a genetic algorithm to optimize the Canny operator for the extraction of patterns from woven and embroidered artifacts. Firstly the paper analyzed the characteristics of the images of the woven and embroidered artifacts and used bilateral filtering algorithm and mean drift algorithm to smooth the noisy original image for the gray scale of the smoothed graph it selected the genetic algorithm to solve the optimal threshold of Canny operator and input the optimal threshold into Canny operator for the edge detection of the gray scale graph. Then the paper expanded the morphology of the edge image and automatically filtered out noise and incomplete pattern samples based on the area length and width of each connectivity domain. Finally the algorithm was evaluated for the effect of extracting patterns and the algorithm's running time. Experiments show that the algorithm can accurately detect the real edges of the pattern in the image of the woven and embroidered artifacts and the edges detected are clearer and more continuous than those detected by the other five traditional operators. In terms of pattern extraction precision and pixel accuracy PA it is better than the existing methods such as traditional Canny operators hybrid frog jump adaptive Canny operator Otsu maximum optimized Canny operator and so on. The algorithm is robust to the presence of folds that lead to pattern deformation in the woven and embroidered artifacts and all the patterns are successfully extracted. The algorithm can effectively detect the real edges of the patterns in the image of woven and embroidered artifacts and complete the pattern extraction. Woven and embroidered artifacts contain deep cultural heritage and artistic value and through pattern extraction designers can integrate traditional cultural elements into modern design to create unique cultural and creative products. In this paper the algorithm solves the problem that the traditional Canny operators need to determine the threshold value for the edge detection of woven and embroidered artifacts and that the extraction efficiency is not high. In the process of cultural and creative design the digitization of cultural and creative materials is the first step. In addition the grasp and application of the knowledge of history and culture artistic connotations unique stories and symbolic meanings embedded in patterns can more accurately capture the essence of the culture and the emotional expression it represents. For this reason it is of deeper significance and value to carry out research on the integration and mining of multimodal information such as patterns and knowledge in the future. [ABSTRACT FROM AUTHOR]

During the period of the Republic of China, the traditional Chinese cheongsam successfully completed the modernization transformation with the methods of “Westernized Chinese style” and “integration of the East and the West”, and became the only “living fossil” of the successful transformation in the 5,000 years of traditional Chinese clothing history. In the context of “carrying forward the excellent traditional culture of China and enhancing cultural self-confidence”, in-depth research on the cheongsam of the Republic of China may point out the direction for today’s fashion designers in inheriting and innovating traditional clothing culture. The cheongsam of the Republic of China is a “transitional form” in the development sequence of the cheongsam. This paper used the methods of literature research, physical research and interviews with folk artists to sort out and summarize the development of cheongsams through four main periods: Manchu’s cheongsam, Shanghai style cheongsam, Taiwan and Hong Kong cheongsam and contemporary fashion cheongsam. Specifically, the development of the Shanghai style cheongsam of the Republic of China experienced the evolution of different shapes such as the inverted large-sleeve cheongsam, the tailored cheongsam and the “typical cheongsam of the Republic of China” in the mature stage. On this basis, the paper defined the “Shanghai style cheongsam of the Republic of China” as the typical cheongsam of the Republic of China in the mature stage after the revolution in the 1930s and 1940s. The Shanghai style cheongsam of the Republic of China is convenient, beautiful and economical, showing the characteristics of seeking novelty and difference. The overall style is simple and elegant, subtle and soft, and matches well with both Chinese and Western clothing. By observing and recording the cutting process of a typical Shanghai style cheongsam of the Republic of China, the paper tried to make a painstaking examination from the size and cutting method of traditional clothing philosophy, and explored the traditional creation concept and traditional Chinese aesthetic of the typical Shanghai style cheongsam through the phenomena. The study pointed out that the cutting method of the Shanghai style cheongsam in the Republic of China maintained the traditional Chinese plane cutting, did not make plates in advance, and was generally carried out by the way of laying materials on the board and cutting while sewing. The technical difficulty lies in how to solve the problem of “covering the front” caused by “digging the front”. This paper shows the most commonly used “off-warp cutting method” of the Shanghai style cheongsam of the Republic of China, and restores the traditional way of inch picking, the techniques of “front stealing”, the shrinking of “pleats”, blocking, ironing and collar making. This paper interprets the creative concepts of “applying art according to materials” and “carrying Tao with skills” and the costume-making ideals of “integrality, seamless clothing, and material saving”, and reveals the aesthetic characteristics of “beauty of shape”, “beauty of artisan” and “beauty of workmanship” of cheongsam craft from the aspects of structure, molding and techniques, in order to provide reference for further research on the excellent Chinese costume culture. [ABSTRACT FROM AUTHOR]

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This article examines Ziti xiaozhi 紫隄小志 and Ziticun xiaozhi 紫隄村小志, compiled by Wang Yong’an 汪永安 in the early Qing Dynasty. Through the analysis of the genesis context and content changes of these local gazetteers, this paper shows how local social conditions and changes in the political environment affected the content of local gazetteers. In particular, I first demonstrate that Wang Yong’an’s inclusion of a large number of good deeds of the Hou 侯 family of Shanggu 上谷 and the Wang 汪 family of Pingyang 平陽 in his gazetteers had two purposes. On one hand, it was an attempt to influence compilers of official gazetteers to include members of their own clans. On the other hand, it reflected his belief that narratives of loyalty and righteousness could change the declining moral standards of Ziti villagers. Second, this paper also points out that in Ziticun xiaozhi, Wang Yong’an deleted sensitive content that expressed nostalgia for the Ming Dynasty and that affirmed the legitimacy of the Southern Ming regime. This reflects the latent self-censorship that emerged among literati during the Yongzheng 雍 正 period and illustrates the profound impact of political changes on how local elites wrote township gazetteers. [ABSTRACT FROM AUTHOR]

Underwater fish target recognition technology is an important technology in ocean exploration. However, the acquisition of underwater resources is very expensive and cannot meet the requirements of training large-scale deep neural networks. Aiming at the problem of small or even zero samples of underwater fish data, this paper proposed a Joint Deep Statistical Feature Alignment（JDSFA) method based on transfer learning to solve the problem of fish target identification in small samples. Using ResNet-50 as the backbone network, the mean square and covariance were incorporated into the weight selection algorithm to construct a joint domain adaptive loss function to align the feature distribution between the source domain and the target domain. In addition, we also designed a global loss function to combine the source domain loss with the inter-domain adaptive loss by using adaptive weights to realize the fish target recognition task. The published underwater fish data set QUT was used for experimental verification, and the results all showed that the effectiveness of JDSFA method in fish identification was 3.59%,4.96% and 5.91% higher than that of the current representative DADAN, PMTrans and DSAN methods, respectively. It is further demonstrated that the JDSFA method proposed in this paper has good application value in fish identification task. [ABSTRACT FROM AUTHOR]

In the process of detecting human respiration and heart rate using millimeter wave radar, the static clutter in the environment makes it extremely difficult for the radar to discriminate the information about the movement of the human chest cavity, which affects the separation of respiration and heart rate signals. At the same time, it is difficult to separate the harmonic components of the respiration signal in the high-frequency band and the heartbeat signal in the low-frequency band because the frequencies of the harmonic components in the high-frequency band are similar.To solve the above problems, this paper proposes a joint modal spatial domain estimation detection method, which mainly adopts an single ensemble empirical modal decomposition (SEEMD） algorithm to decompose the thoracic phase signal into each modal component to eliminate the influence of static noise on the respiratory heartbeat signal, and then uses a multiple signal classification (MUSIC) algorithm to convert the heartbeat modal component signals from the time domain to the spatial domain to estimate their frequencies to eliminate the influence of respiratory harmonics.The experimental results show that the accuracy of respiratory rate under the detection of this paper’s method is 95.76%,and the accuracy of heart rate is 98.76%.Compared with the traditional algorithms, the proposed method is more accurate in estimating respiratory rate and heart rate. [ABSTRACT FROM AUTHOR]