The structure and molecular composition complexity of lignin make it difficult to be extracted from the biomass. In addition, the traditional fractionation methods usually lead to degradation and condensation of lignin with low purity, which hinders its valorization. Therefore, it is urgent to develop a new and environmentally friendly method for lignin fractionation. As a promising and green solvent for lignin fractionation, deep eutectic solvent (DES) has been a hotspot in the fields of biorefinery and accumulated many excellent achievements. Many active groups, including aryl, phenolic hydroxyl, alcohol hydroxyl and carbon based conjugate double bond, exist in molecular structure of lignin, leading to high activity for preparation of some functional materials, which has a strong industrial application prospect. Based on the our latest researches, the latest research progress in lignin fractionation by DES, the preparation of lignin-based functional materials and the application of lignin phenolic resin, lignin-based slow/controlled release fertilizer and lignin-based biodegradable material are concluded in the study.

Lignin has a wide range of sources, low price, and complex structure. It is a renewable phenolic polymer in nature. It can be transformed into energy, chemicals, and functional materials, and has a potential application prospect. The research progress of multifunctional lignin materials is reviewed, especially based on typical examples, and the progress of lignin in the fields of energy, environment, sensing and carbon peak and carbon neutralization discussed. Finally, the problems and potential development direction of multifunctional lignin materials are proposed based on our knowledge. Solutions and theoretical support are provided for the applications of multifunctional lignin-based materials.

The non-degradability of traditional plastic film products leads to serious environmental and social issues, which promotes the development of biodegradable composite film materials. Recent advances in abundant natural polymeric materials with different structural properties and excellent biodegradability were presented. Lignin, as the most abundant aromatic polymer, is considered a promising choice to manufacture multifarious advanced and functional film materials. From the perspective of sustainable development, the structure, chemical characteristics, fractionation methods of lignin are first introduced, and then a review focuses on the preparation of biodegradable composite film material and recent progress of lignin-derived biodegradable film materials with designed functionalities for different applications, such as degradable plastic film material, packaging materials, sensor response materials, antibacterial, and UV protection. Finally, the main problems faced by lignin-based biodegradable composite film materials are discussed, and the potential development directions for environmental-friendly lignin-based functional membrane materials in the future are proposed.

Superhydrophobic coatings have drawn much attention in recent years for their wide potential applications. However, a simple and cost-effective approach is still needed for preparing superhydrophobic materials and coatings using natural polymer. Herein, a hierarchical superamphiphobic Lignin-PFTEOS powder was prepared via a substitution reaction. Owing to the substrate-independent characteristics and excellent super-repellency of the powder, it could be applied to various substrates to fabricate superhydrophobic coatings. The prepared coatings have a huge repellency to water, with a water contact angle of 169°, as well as good friction resistance, acid resistance, alkali resistance, salt resistance properties and quite good corrosion resistance performance. After 20 cycles of sand friction or being immersed in 1 mol/L HCl, 0.20 mol/L NaOH and 1 mol/L NaCl solution for 30 minutes, the coatings still retain superhydrophobic capability, with contact angle higher than 150°. Due to its low cost, biodegradability and scalability, lignin-based coatings have huge potential applications in different fields and provide a simple method for the value-added utilization of alkali lignin.

With the development of flexible devices and wearable devices, as well as the improvement of human environmental awareness, the development of flexible energy storage devices with high energy efficiency, high energy and power density and green environmental protection has attracted increasing interest. However, the traditional organic polymers, precious metals and other materials are not only expensive but also facing the crisis of resource depletion, so it is difficult to meet the development needs of flexible devices. Biomass resources are abundant, renewable, environmentally friendly, biocompatible and inexpensive, which are ideal precursors for the preparation of flexible energy storage materials. A comprehensive review is conducted on the preparation and synthesis of biomass-based flexible electrode materials, solid electrolyte and separator, and their applications in supercapacitors, metal-air batteries, lithium-ion batteries and lithium-sulfur batteries.

Subgraph pattern matching is the core technology in social network analysis and knowledge discovery, and also the key to determine the accuracy of social network analysis and knowledge discovery. In view of the low accuracy and high cost of the subgraph query algorithm based on backtracking in large-scale data graph environment, a subgraph matching algorithm based on path adaptation is proposed. First, an index based on the path RDF (Resource Description Framework) graph is built. Then, the query graph is decomposed into a set of paths, for each path in the process of decomposition to obtain a set of candidate paths. Finally, the candidate paths are concatenated together through the k-partition intersection graph to build the result subgraph of the query graph. Compared with Spath (Shortest Path) algorithm, Sapper algorithm and SQM (Subgraph Query Matching) algorithm, this algorithm improves the query accuracy by 15% when dealing with large-scale data.

High-precision 3D object detection is a key technology to realize object perception, which is of great significance to the implementation of applications such as automatic driving and robot control. In order to improve the accuracy of 3D object detection, the algorithm VoteNet is improved, and an end-to-end high-precision 3D point cloud target detection network based on residual network, ResVoteNet is proposed. Specifically, a residual network skeleton suitable for point cloud data is designed, and a residual feature extraction module and a residual up-sampling module are proposed and integrated into the VoteNet framework. The introduction of the residual network structure enhances the network's feature extraction and learning capabilities for point cloud data, and improves the robustness of the model. The algorithm is tested on the publicly available large-scale point cloud data sets SCANNET and SUN-RGBD, and the average detection accuracy mAP has reached 61.1% and 59.9%, respectively, surpassing other current state-of-the-art algorithms.

When deep convolutional neural networks perform semantic segmentation of high-resolution remote sensing images, the downsampling of images can cause blurring of object edges, making the segmentation results unclearly delineated near the edges and more misclassified. The segmentation ability of the model for remote sensing images can be improved by adding edge information in the network. Therefore, a two-way network model is proposed for semantic segmentation, adding one-way edge network to learn the edge features of the target and refining the segmentation features using the edge features. Meanwhile, the segmentation network and the edge network can be trained simultaneously as a multi-task learning model. In this paper, the effectiveness of the two-way network model is demonstrated on the ISPRS Potsdam and ISPRS Vaihingen dataset datasets, and leading results are achieved when comparing multiple semantic segmentation models.

Considering the complexity of the environment and the openness of related communication networks, the problem of mean square quasi-consensus for a class of stochastic multi-agent systems under two different impulsive deception attacks is studied. The impulsive deception attacks considered here include replacement attack and false data injection attack, while the probabilities of attacks are described by introducing random variables that obey Bernoulli distribution. By employing the knowledge of stochastic process and Lyapunov stability theory, the sufficient conditions of quasi-consensus are given. The conditions show that the error of systems can be kept in a certain range under two different attacks. Finally, a numerical simulation is given to verify the effectiveness of the results.

Agricultural transport automatic guided vehicle (AGV), as a high-efficiency, green, automatic transport machinery and equipment, with its low-cost, miniature design, has become an important development direction of modern agricultural mechanization. In view of the agricultural greenhouse environment, an AGV for agricultural transportation based on magnetic navigation is designed. Firstly, the carrying capacity of the AGV is calculated to determine its working capacity. Then, combined with the designed magnetic navigation module, the kinematics model of the AGV is built. The driving speed of the AGV is simulated and tested by using fuzzy PID control algorithm, and the results show that the AGV can complete the speed control response within 4 s, and finally achieve relatively stable operation, with the speed error less than 5%. Finally, the piecewise fuzzy PID control algorithm is designed to simulate and experiment the tracking guidance of AGV, and the results show that the relative position error between AGV and navigation magnetic stripe can be adjusted under different driving speeds, and the relative position error can be kept within ±7.5 mm when AGV runs stably.

With the increasing financing demand of technology-based small and medium-sized enterprises(SMEs), the securitization of intellectual property is increasingly concerned by the academic. The process of intellectual property asset securitization and the evaluation method of intellectual property value are combed. This paper clarifies the role of intellectual property securitization in financing and profitability of technology-based SMEs, and establish the price function model and business earnings function model of intellectual property asset securitization. The slope and radian of the function curve is defined based on the nonlinear curve characteristics of the securities price derivative function. The analysis methods of the asset price function curve is constructed when the enterprise's yield changes . The analysis method is applied to the earnings judgment of technology-based SMEs after asset securitization, and the earnings judgment conditions and methods are established. The results can provide methodological guidance for the research of enterprise intellectual property asset securitization.

The well-posedness and large-time behavior for a parabolic-hyperbolic system with discontinuous initial value is mainly considered. The system is transformed from a three dimensional PDE-ODE hybrid chemotaxis system describing the initiation of tumor angiogenesis by a Cole-Hopf type transformation. With discontinuous data, it is proved that the solution of the transformed system converges to a constant equilibrium as time tends to infinity. Lastly, the results for the pre-transformed PDE-ODE hybrid system are obtained by reversing the Cole-Hopf transformation. Compared with the relevant results on continuous initial datum, the asymptotic stability of discontinuous initial values with large oscillations is proved. In the proof, the so-called “effective viscous flux” is used for the analysis to obtain the desired energy estimates and regularity. The "effective viscous flux" technique is rarely used in the literature of chemotaxis model. But it has proved to be a useful tool for studying chemotaxis systems with initial datum having low regularity.

In this paper, the liquid-separation condensation, which is a heat transfer enhancement technology, is applied to the plate condenser. The physical and mathematical models of the liquid-separation plate condenser with multi-path are established. The thermal performance of four plate condensers (conventional type, two-path, three-path and four-path) having the same heat transfer area is compared by using performance evaluation parameters (η). The results show that the performance of liquid-separation plate condenser increases with the path numbers. The η can reach up to 1.12. In the conventional plate condenser, the heat transfer coefficient in the later path is lower than that in the previous path, whereas it is opposite in the liquid-separation plate condenser. Under the same working condition, the heat load and vapor quality at the outlet of liquid-separation plate condenser are higher than these of the conventional plate condenser.

Our country’s current farmland protection and high-standard farmland construction fail to take ecosystem services as the corresponding assessment indicators, resulting in serious loss of biodiversity in agricultural landscapes. Taking Liyusha Wanmu Park as a typical Dike-pond example of agriculture in the Pearl River Delta, landscape connection analysis method and sample survey method are used to deeply evaluate its habitat composition, structure, quality and other current characteristics, revealing the common problems of agricultural ecosystems under high-intensity human interference in urban agglomeration areas. In view of common problems and interference factors, ecological-production-life space coordinations are proposed and biodiversity improvement can be realized through planning zoning, conservation, planting, compensation, restoration and other means. The research has both basic theoretical significance for the restoration of agricultural ecosystem habitat under strong artificial disturbance in the delta river network area and practical guiding value for high-quality development.

Urban brownfield reuse is an important way to supply urban land. At present, brownfields are large in scale, difficult to identify as governance objects, with relatively simple restoration standards and planning systems. Disjointed ecological restoration, insufficient public awareness and participation have become the main difficulties and problems in the process of governance and reuse. Taking brownfield reuse as a starting point and combining brownfield impact factors, human health indicators are clarified, and brownfield land reuse standards categorized. Taking measures and methods such as risk avoidance in multiple scenarios, full life cycle loss control, risk transfer by multiple interest groups, and risk-taking by multiple technologies, ranging from planning objects, restoration standards, planning content and procedures, management systems, work is started with the mechanism and other aspects, and strategies for urban brownfield governance and reuse planning based on risk management are proposed.

Under the background of land spatial planning in the new era, GIS planning database has become an important part of spatial planning and database information platform, which is of great help to promote the planning work of three areas and three lines. With the development of land spatial planning, a set of standards and requirements for GIS database are gradually formed. Starting from the characteristics of GIS database, the construction of GIS village planning database is studied, the corresponding relationship between database content and planning content and key points discussed, and the role of village planning database results in the planning system assessed, so as to provide reference for the compilation and rational use of village planning database under the land spatial planning system.

In order to study the driving behavior and possibility of jacked steel sheet pile in layered stratum, the commercial finite element software ABAQUS is used to analyze the continuous penetration process of static pressure steel sheet pile into different soil layers by using the method of Coupled Eulerian-Lagrangian (CEL) analysis, and the curve of pile sinking resistance with penetration depth is obtained. Then combined with an engineering example, the influence of the change of dilatancy angle on the simulation results is discussed, and the cloud chart of soil stress distribution around the pile after pile driving is analyzed. Finally, the simulation results are compared with the field measured data of a project, and the differences between the simulated values and the measured values are analyzed. The simulation results can predict the possibility of driving steel sheet pile in layered stratum and improve the construction possibility of static pressure steel sheet pile.