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Short-calendar-time flash flood is one of the serious disasters threatening the safety of transportation of villages and towns in Longnan mountainous area. In order to improve the disaster prevention and mitigation capability of the area, it is of great scientific significance to calculate the degree of flood inundation loss through different rainfall intensities, and to guide the local people in the prevention of flash floods by using the flood risk zoning map. In this paper, based on the HEC-RAS hydrological analysis method, combined with GIS to simulate the flood inundation process of the watershed, and taking Pujiagou in Longnan mountainous area as the research object, the traditional flood risk zoning maps were optimized under the conditions of one-in-5-year, one-in-10-year, one-in-50-year, and one-in-100-year design rainfall, taking into account the multiple factors such as the slope, the land type, the loss rate, the water level, the flow rate, and so on. The results show that compared with the risk zoning map drawn by the traditional method, the optimized risk zoning map by the preferential map method pays more attention to the affected degree of the disaster-bearing body, and solves the shortcomings of the traditional risk zoning map, which is difficult to classify the risk level because of the large span of the risk level of the small areas. In the optimized risk zoning map, the risk level of the upstream and middle reaches of the uninhabited area is reduced, and the risk level of the downstream area of Maquan Village is more clear. Taking Wangjiazui in Maquan Village as an example, under the design rainfall of one-in-50-year, the risk zoning map drawn by the traditional method covers five risk levels, and the area difference of each zone is not significant, which makes it difficult to determine the final risk level. The optimized risk zoning map of the preferred method is more concentrated, and the area of Wangjiazui high-risk area is less than 4% of the medium-risk area, and the risk area of Wangjiazui can be clearly located in the medium-risk area. The optimized risk zoning map of this paper is more advantageous in practicality and adaptability, which can provide help for the early warning and the prediction of flash floods in small watersheds, and are also helpful to disaster prevention and mitigation work. [ABSTRACT FROM AUTHOR]

With intensive and extensive using herbicides, the level of weed resistance was increased, new resistance mechanisms are constantly being discovered. Adcances on the mechanisms of target-site resistance (TSR) and non-target-site resistance (NTSR) in recent ten years were summarized in this paper. The progress of TSR mainly included new resistance mutation in herbicide target enzymes of acetolactate synthase, acetyl-CoA carboxylase and 5-enolpyruvylshikimate-3-phosphatesynthase, as well as various resistance mutations occurring in target enzyme and multiple mutated target isozymes that resisting stronger herbicide selection. In addition, the roles of NTSR in glyphosate resistance of cytochrome P450 (CYP81), aldo-keto reductase and ABC transporter protein (EcABCC8) were also described in detail. This paper is beneficial for understanding the molecular mechanisms and evolutionary laws of weed resistance from more profound and comprehensive perspective, and also provides inspriration for scientifically using herbicides and designing new herbicides with new mode of action. [ABSTRACT FROM AUTHOR]

Insects possess some sensitive and complex olfactory systems, whose operation is inseparable from the participation of a variety of olfactory proteins. These proteins can capture, transport, recognize and degrade external odor molecules, and then regulate a series of physiological behaviors of insects such as feeding, mating, reproduction and alarm. In this paper, the functions and crystal structures of odorant binding proteins (OBPs) and olfactory receptors (ORs) in insect olfactory proteins are reviewed. The interaction modes between odorant binding proteins or olfactory receptors and small ligand molecules were also analyzed according to the reported co-crystal structures. Furthermore, the regulating insect behavior study on the plant essential oils was also summarized in this paper. The review is aimed to provide reference on the development of insect behavior control agents with novel plant essential oil-originated structures as leading ones targeted on insect odorant binding proteins or olfactory receptors. [ABSTRACT FROM AUTHOR]

Agricultural residue is an important biomass resource in China. Utilization of agricultural residue for production of high-quality fuel oil is an attractive and challenging topic towards the goals of “Carbon Peaking and Carbon Neutrality”. Biomass hydropyrolysis integrated with volatile catalytic hydrogenation is a new process that can efficiently improve the yield and quality of bio-oil. This work is purposed to explore this new biomass conversion technology by laboratory experiments using a tandem pressurized fixed bed reactor. A bimetallic molecular sieve catalyst (NiMo-HZSM-5) was prepared by an impregnation method and used for catalytic hydrogenation. Biomass was hydropyrolyzed under a condition of 5 MPa H2 pressure, 15℃/min heating rate and 700℃ final temperature to generate volatile matter, which was online hydrogenated through the NiMo-HZSM-5 catalyst bed under a condition of 5 MPa H2 pressure, 320℃ reaction temperature and 26 s residence time (corresponding to space velocity of 112.5 h−1 ). The paper firstly presents the oil production results of three types of agricultural residue, corn stalk, cotton stalk and peanut straw by the catalytic hydrogenetion. The paper is then devoted to further clarifying the conversion characteristics of different biomass fiber constituents by means of the water washing and acid washing pretreatments of three agricultural residues as well as by adopting cellulose and lignin as model compounds. Results showed that in the case of non-catalytic hydrogenation, all of the bio-oils obtained from three agricultural residues contained oxygenates and aromatic hydrocarbons as two main classes of compounds, and that from peanut straw also contained a high proportion of nitrogenous compounds. In contrast, all of the bio-oils derived from three agricultural residues by the catalytic hydrogenation (CH bio-oils) contained almost neither oxygenates nor nitrogenous compounds. The yields of CH bio-oils reached 10.3%–15.9% for three agricultural residues. The CH-bio-oils were composed of 73.0–84.8% saturated aliphatic hydrocarbons (mainly cyclopentanes, cyclohexanes, and perhydro- naphthalenes), 6.1%–13.1% partially hydrogenated aromatic hydrocarbons (mainly di-, tetra-hydronaphthalenes) and a small amount of monocyclic aromatic hydrocarbons. The result highlights that the two-stage process of hydrogenation pyrolysis integrated with NiMo-HZSM-5 catalytic hydrogenation can effectively convert agricultural residue into a kind of high-quality bio-oil composed mainly of alicyclic hydrocarbons. The water washing could remove about half of neutral extractives from each of three agricultural resides. After the water washing, three agricultural residues showed increases in the yields of CH bio-oil to 18.1%–18.5%, suggesting that neutral extractives are less conducive to the production of CH bio-oil compared to other fiber components. The acid washing enabled cellulose and lignin to be left in the agricultural residues as main components. Via this pretreatment, the yields of CH bio-oil increased to 18.2%–22.5% for three agricultural residues, with cotton stalk having the highest yield. The yields of typical aliphatic hydrocarbon compounds (methyl-cyclopentane, methyl-cyclohexane and decahydro-naphthalene) from all three agricultural residues were increased by the acid washing. The study using model compounds revealed that cellulose is a fiber for not only achieving a high yield of CH bio-oil but also selectively producing aliphatic hydrocarbon compounds such as cyclopentane, cyclohexane, and decahydro-naphthalene. Meanwhile, lignin has a lower yield of bio-oil, and it tends to produce monocyclic aromatic hydrocarbons. Lignin can also generate cyclohexane compounds and partially hydrogenated polycyclic aromatic hydrocarbons, but it has a low propensity to the formation of cyclopentane compounds. This study has provided a new technical route to utilizing agricultural residues for high-efficient production of fuel oil. [ABSTRACT FROM AUTHOR]

The federated learning framework that uses autoencoder model to detect malicious model updates is an excellent defense framework for poisoning attacks. However, the existing autoencoder-based models face several challenges such as training difficulties and limited anomaly detection capability. In view of the above problems, this paper proposed an algorithm for detecting malicious model updates of federated learning based on β-VAE: the central server stabilized the training dataset by suppressing random attributes of the training samples, and used the dataset to train β-VAE anomaly detection model in real time. The model computed the anomaly score of task model updates uploaded by the clients, and then to detect and exclude malicious model updates based on the dynamic threshold of anomaly score. This paper evaluated the performance of the proposed algorithm on three federated learning tasks. Specifically, these tasks include classification on the MNIST dataset using the logistic regression (LR) model, classification on the FEMNIST dataset using the convolutional neural network (CNN) model, and character prediction on the Shakespeare dataset using the recurrent neural network (RNN) model. The experimental results show that, the task model under this algorithm achieves higher accuracy compared to other defense algorithms. This indicates that in Non-IID scenarios, the algorithm exhibits strong robustness against poisoning attacks in federated learning. [ABSTRACT FROM AUTHOR]

Aiming at the problem that the positioning accuracy of traditional SLAM algorithm decreases due to the influence of dynamic feature points in dynamic environment, this paper proposed SF-VINS which fused semantic information. Firstly, it incorporated the PP-LiteSeg semantic segmentation network into the front-end of system based on the VINS-Mono algorithm and removed the dynamic feature points according to the results of semantic segmentation. Then, it constructed the semantic probability error constraint with the pixel semantic probabilities and employed adaptive weights for feature points in the backend. Based on these modifications, this paper proposed a new BA cost function and an optimization strategy for camera extrinsic parameters to improve the accuracy of state estimation. Finally, this paper conducted experiments on the VIODE and NTU VIRAL datasets to validate its effectiveness. The experimental results show that the proposed algorithm has advantages in terms of positioning accuracy and robustness in both dynamic and static scenes compared with state-of-the-art visual-inertial SLAM algorithms. [ABSTRACT FROM AUTHOR]

Existing cost allocation methods for adaptive video steganography mainly focus on specific transform coefficients, resulting in lower capacity. Moreover, distortion drift is a significant challenge for steganography in HEVC videos. Therefore, this paper proposed a cost allocation method that combined the intra-frame and inter-frame processes of HEVC video coding to achieve high-capacity, low-distortion transmission in high-performance adaptive video steganography. Firstly, the method investigated the discrete sine transform features in HEVC video coding, analyzing the error propagation patterns of these coefficients under disturbance. During the embedding processed, it conducted a detailed analysis on the intra-block distortion, interblock distortion, and inter-frame distortion caused by modifying transform coefficients. The algorithm also took into account the differentiation in inter-block distortion resulting from steganography in different blocks, leading to the classification of blocks. This paper maximized the utilization of all non-zero transform coefficients, allocating distinct distortion costs for various carrier coefficients. The covert information was then embedded into frames that minimally impacted video quality. Experimental results indicate that, compared to existing HEVC video coefficient domain steganography methods, the proposed algorithm demonstrates advantages in terms of video bitrate, video quality, and embedding capacity. [ABSTRACT FROM AUTHOR]

To solve the problems of low recognition accuracy and poor generalization performance of existing face anti-spoofing models in different application scenarios, this paper adopted the idea of disentangled representation learning and proposed a face anti-spoofing method based on disentangled representation learning. This method adopted U-Net architecture and ResNet18 as the encoder-decoder. In the first stage of training, it inputted real samples so that the encoder only learned information related to real samples. In the second stage, this paper built an adversarial learning network, inputted samples without labels, feature fusion of the pre-trained encoder output and the new encoder output, reconstructed the image by the decoder, and performed adversarial training with the original image in the discriminator to achieve feature decoupling. Compared with some classic face anti-spoofing methods, the model paper achieved better detection performance. The lowest detection error rate in several experiments on the OULU-NPU data set is only 0.8%, which is better than classic detection methods such as STDN. The face anti-spoofing method used staged training to enable the model to obtain a more discriminative feature representation than the end-to-end model in adversarial training. It adopted a multi-classification strategy in the deception feature map output stage to reduce the impact of different image noises on classification results, and experiments on public data sets verified the effectiveness of the algorithm. [ABSTRACT FROM AUTHOR]

LR serves as a generalized linear classifier for binary classification in supervised learning, exhibiting characteristics of simplicity in structure, strong interpretability, and effective fitting when dealing with linear data. However, its classification performance becomes limited when confronted with high-dimensional, uncertain, and linearly inseparable data. To address the inherent limitations of logistic regression, this paper introduced the theory of granular computing and proposed a novel logistic regression model called rotating granular logistic regression (RGLR). This paper introduced the theory of rotating granulation, where different angles of rotation were applied to pairs of features forming a plane coordinate system. This process constructed rotating granules by rotating pairs of features at various angles on the plane coordinate system, and granulated to form rotating granule vectors on multiple plane coordinate systems. This paper further defined the size, measurement, and operational rules of granules, and proposed a loss function for rotating granular logistic regression. The optimized solution of the rotating granular logistic regression was obtained by solving the value of the loss function. Finally, experiments are conducted using multiple UCI datasets, and the results compared across various evaluation metrics, indicate the effectiveness of the rotating granular logistic regression model. [ABSTRACT FROM AUTHOR]

To overcome AMR s limited generalization and low classification accuracy in non-cooperative communication contexts with low signal-to-noise ratio, this paper proposed a model named CGDNN, which integrated CNN, GRU and deep neural networks. To mitigate noise impact on modulation detection, this paper initially denoised I/Q sampled signal using wavelet thresholding. Subsequently, this paper utilized CNN and GRU for extracting spatial and temporal features from signals before proceeding to classification through fully connected layers. Besides enhancing AMR performance, the CGDNN model significantly reduced computational complexity compared to competitors. Experiment results demonstrate an average recognition accuracy of 64.32% on the RML2016. 10b dataset, with an enhancement in signal classification accuracy from 12 dB to 0 dB. Moreover, the model substantially decreased confusion between 16QAM and 64QAM, achieving a peak recognition accuracy of 93.9% at 18 dB. CGDNN model effectively improved AMR detection accuracy under low signal-to-noise ratio conditions and enhanced model training efficiency. [ABSTRACT FROM AUTHOR]

Most of the existing MAPF methods based on communication learning have poor scalability or aggregate too much redundant information, resulting in inefficient communication. To solve these problems, this paper proposed disruptor identifiable communication (DIC), which learned concise communication excluding non-disruptors by judging whether the agent in the center of the field of view would change its decision-making due to the presence of neighbors, and successfully filtered out redundant information. At the same time, this paper further instantiated DIC and developed a new highly scalable distributed MAPF solver: disruptor identifiable communication based on reinforcement and imitation learning algorithm (DICRIA). Firstly, the disruptor discriminator and the policy output layer of DICRIA identified the disruptor. Secondly, the algorithm updated the information of the disruptor and the communication wish sender in two rounds of communication respectively. Finally, DICRIA output the final policy according to the coding results of each module. Experimental results show that DICRIA S performance is better than other similar solvers in almost all environment settings, and the algorithm increases the success rate by 5.2% on average compared to the baseline solver. Especially in dense problem instances with large-size maps, the algorithm even increases the success rate of DICRIA by 44.5% compared to the baseline solver. [ABSTRACT FROM AUTHOR]

To solve the flexible job shop dynamic scheduling problem with fuzzy quality control time, which is more realistic, this paper established two rescheduling models for machine breakdown and urgent order insertion with the objective of minimizing completion time. Two models were for three failure scenarios: emergency order insertion, machine failure during no-load operation, and machine failure during work-piece processing. To solve this model, this paper designed a novel genetic-neighborhood search algorithm that integrated cellular-automata-based neighborhood search and random restart hill-climbing. Aiming at the characteristics of dual sub-decisions involving order sequencing and machine selection, this paper designed a two-layer coding scheme including process code and machine code, and designed corresponding genetic operations such as crossover and mutation for them. After that, this paper applied the genetic operations into the framework of cellular-automata-based neighborhood search to enhance the algorithm's global search capability, and integrated the random restart hill-climbing algorithm based on key operations to improve the algorithms local development capability. Experiments tested 10 flexible job shop scheduling instances and one flexible job shop scheduling instance with fuzzy quality control time to verify the effectiveness of the proposed algorithm and models. In addition, the test results under different failure scenarios show the proposed method outperforms the backward-based scheduling strategy used in practice. [ABSTRACT FROM AUTHOR]

In order to solve the problem that the daily rehabilitation training of cardiovascular patients depends on directing by health care professions in rehabilitation centre, during assessing and correcting the movements system about cardiovascular patients independent rehabilitation training at home, this paper proposed an action assessment method for cardiovascular patients' rehabilitation training based on key points of the human skeleton (ASRT-PHS). Firstly, this paper constructed a dataset for rehabilitation training actions using a camera and data augmentation in accordance with the specified rehabilitation training specification for cardiovascular patients. Secondly, this paper employed a deep learning-based detector and pose estimator to capture human body positions and extract key points of the human skeleton, respectively, and then input the results into a convolutional neural network for action recognition. Thirdly, by calculating joint angle thresholds, joint distance ratio and assessing standard motions, this paper constructed a motion segmentation model based on joint distance ratios and an action assessment model based on action joint angle thresholds. This paper investigated the optimal combination of ASRT-PHS by assessing its performance with various joint angle thresholds and action recognition approaches. The results show that ASRT-PHS achieves an average action recognition, segmentation and assessment accuracy of 92.78%, 77.6% and 87%, respectively. Furthermore, case tests about the true cardiovascular patients show that the average accuracy of the prototype system is 71.3%, which provides a feasible intelligent auxiliary system for patients autonomous rehabilitation training at home. [ABSTRACT FROM AUTHOR]

Maintaining population diversity and improving algorithm search efficiency are two major problems that need to be solved urgently in the multimodal multi-objective optimization. To address the above problems, this paper proposed a multimodal multi-objective brain storm optimization algorithm based on zoning search and reinforcement learning (MMBSO-ZSRL). In the MMBSO-ZSRL, the decision space was first decomposed into multiple subspaces to reduce the search difficulty and maintain the population diversity. Subsequently, the proposed algorithm used SARSA algorithm to balance the global exploration and local exploitation capabilities of the brain storm optimization algorithm. Additionally, the MMBSO-ZSRL utilized the special crowding distance to select individuals for guiding the population evolution. To verify the performance of the proposed algorithm, this paper selected six advanced multimodal multi-objective optimization algorithms and the IEEE CEC2019 multimodal multi-objective problem benchmark test suite for experiments. Experimental results demonstrate that the overall performance of the MMBSO-ZSRL is significantly better than that of compared algorithms. The proposed MMBSO-ZSRL can not only find the Pareto front with better diversity and approximation, but also find more Pareto optimal solutions in the decision space. [ABSTRACT FROM AUTHOR]

The combination processing of molds and electronic product joint inspection introduce the mandatory concurrent operations on the same machine (MCDSM), which breaks the constraint that the same machine cannot process different jobs at the same time in the job shop scheduling (JSP) To solve this type of job shop scheduling problem, this paper proposed an adaptive hybrid initialization genetic algorithm (AHIGA). Firstly, this paper defined the problem as a generalized JSP considering mandatory concurrent operations on the same machine (GJSPMCO) problem, and established an optimization model using mixed integer programming with the objective of minimizing the maximum completion time. Next, it designed corresponding encoding and decoding techniques to support the representation and resolution of feasible scheduling plans within the constraints of MCOSM. Meanwhile, it established a population hybrid initialization method to generate high-quality feasible solutions. This paper also designed novel crossover and mutation operation methods to ensure the feasibility of newly generated solutions under the constraint of MCOSM. Additionally, it constructed an adaptive crossover and mutation operators to enable the adaptive updating of offspring, thereby enhancing the algorithms global search capability. Finally, it constructed 40 test cases based on JSP benchmark, and used these test cases and an example of joint inspection of electronic products for experiments. The results show that the proposed model and algorithm can effectively solve GJSPMCO problem, and the improvement strategies can enhance the quality of solutions, demonstrating the feasibility of the model and the superiority of AHIGA. [ABSTRACT FROM AUTHOR]

In order to improve the delivery efficiency of logistics, this paper proposed a vehicle routing problem with drone and time window considered by the time window, UAV (unmanned aerial vehicle) power change and multi-point continuous delivery of UAV. Then, this paper proposed a hybrid particle swarm optimization algorithm with local search to solve it. Based on the hybrid particle swarm optimization algorithm, the proposed algorithm transformed the problem solution space into the algorithm search space by constructing an efficient encoding and decoding strategy. Further, the proposed algorithm combined a single point insertion strategy, a vehicle replacement strategy and a UAV replacement strategy to form a local search strategy to improve the optimization ability. The experimental results show that the proposed model is more efficient than the model of pure vehicle distribution and saves 31.51% of the cost. The proposed algorithm is better than the four comparison algorithms, and its highest optimization rate is 82.08%. [ABSTRACT FROM AUTHOR]

Periodic high utility sequential pattern mining (PHUSPM) has attracted much attention because it can find more practical regular patterns in time series. However, existing PHUSPM algorithms struggle to effectively handle incremental updates and overlook the downward closure property and complexity of the algorithm in large-scale data. To solve this problem, this paper proposed an IncPUS-Miner algorithm, which effectively realized the incremental mining of periodic high-utility sequential patterns (PHUSPs). IncPUS-Miner introduced a novel data structure called pu-tree. Each tree node corresponded to an updated utility list(UUL) to store the auxiliary information of the corresponding sequence. When incremental data was added, this structure allowed flexible updates to project information, thereby enhancing the dynamic adaptability and scalability of the algorithm. In addition, this paper proposed two new upper bounds of sequence utility, PUB and EUB, and two corresponding pruning strategies, which effectively reduced the computational burden. The experimental results show that the IncPUS-Miner algorithm effectively realizes the incremental mining of PHUSPs on real data, and shows superior performance compared with other algorithms. [ABSTRACT FROM AUTHOR]

In order to address the limitations of the neighborhood rough set model caused by neighborhood parameters and inadequate sample information representation, this paper proposed a rough set model based on the maximum coalition theory. By normalizing the neighborhood information system and utilizing the maximum coalition set to describe neighborhood granular information, the proposed model enabled finer information division and significant reduction of uncertainty in the boundary region. Combining the model with three-way clustering, this paper designed a three-way clustering algorithm based on maximum coalition rough set. Comparative experiments on six UCI public data sets show that the proposed algorithm has better clustering quality than the comparison algorithms, and has higher comparison accuracy when dealing with boundary region samples. [ABSTRACT FROM AUTHOR]

In recent years, blockchain has attracted increasing attention in both academic and industrial circles, and the privacy of blockchain remains a controversial issue when deploying blockchain in different applications. This paper systematically reviewed the current privacy protection schemes and mechanisms in blockchain, and gave insights into the security and privacy of blockchain. Firstly, this paper briefly introduced the main functions, types and privacy definitions of blockchain technology, and analyzed the privacy issues it faced. Then, from a technical perspective, this paper divided blockchain privacy protection technology into four categories: decentralized identity authentication, privacy protocol, encryption technology and obfuscation technology, as well as eight sub-categories: decentralized identity authentication, secure multi-party computation, differential privacy, homomorphic encryption, zero-knowledge proof, coin mixing technology, ring signature and anonymous communication. This paper studied them separately, and summarized the mechanisms of different privacy protection technologies on permissioned and permissionless blockchains. Finally, this paper conducted qualitative research on the main characteristics and attributes of the eight privacy protection technologies, and discussed future research directions of privacy protection technologies. The research provided reference for blockchain developers to choose appropriate privacy protection schemes and for researchers to choose research directions for blockchain privacy protection. [ABSTRACT FROM AUTHOR]

Using first-principles calculations based on density-functional theory, this paper investigates the electronic structure and magnetic properties of the Heusler alloy Mn2LiGe bulk and its (001) surfaces. The Mn2LiGe bulk is demonstrated to be inverse Heusler alloy with space group of F43m and lattice constant of 5. 87 Å. A direct band gap with a width of 1. 1 eV near the Fermi surface of the spin-down channel is detected. The Mn2LiGe bulk possesses stable half-metallic and magnetism in the lattice constant range of 5. 55 - 6. 33 Å. In addition, six different surface structures of Mn2LiGe are constructed in this paper. The first layer atoms on the surface undergo different displacements, increasing the surface roughness. Due to surface effects, the magnetic properties of atoms on the surface are different compared to those in the bulk. Both the MnA MnA and MnB MnB surface structures have the highest magnetic moments, while the LiLi and the GeGe surface structures have the lowest magnetic moments. Electronic structure calculations show that the half-metallic band gap present in the bulk is destroyed in all six surface structures and the spin polarization is weakened in varying degrees. Only the LiLi surface structure maintains up to 99. 9% of the surface spin polarization, making the surface an excellent prospect for applications in spintronic devices. [ABSTRACT FROM AUTHOR]

The influence of frequency characteristics of devices is complex. The effects of AlN barrier thickness, gate length, gate-drain spacing and work function on the frequency characteristics of AlN/ β-Ga2O3 high electron mobility transistor (HEMT) were studied by Sentaurus TCAD in this paper. The following conclusions are obtained: as the thickness of the AlN barrier layer increases from 10 nm to 25 nm, the cutoff frequency (fT) and maximum oscillation frequency (fmax ) rise by 18 and 17 GHz respectively. The decrease of gate capacitance is the main reason for the increase of fT . Furthermore, it was found that the thinner barrier layer enhanced the gate's ability to control the channel electrons. When the gate length is scaled down from 0. 9 μm to 0. 1 μm, fT and fmax increase by 84 and 98 GHz, respectively, representing a far more profound influence on frequency characteristics than the barrier layer thickness. However, when the gate length fell below 0. 1 μm, short-channel effects emerged. As the gate-drain spacing increase, fT exhibits a slight decrease. Coupled with the concurrent reduction in source resistance, this led to a synchronized trend in fmax and fT only when the gate-source voltage (VGS ) exceeds - 1. 2 V. The work function, on the other hand, has minimal impacts on fT and fmax, but an increase in the work function positively influenced the device' s pinch-off characteristics. In summary, this paper indicates that by shortening the gate length while concurrently augmenting the thickness of the AlN barrier layer, gate-drain spacing, and work function, one can enhance the frequency characteristics while also improving the pinch-off characteristics of the device, which has certain guiding significance for the design of HEMT devices. [ABSTRACT FROM AUTHOR]

During the transit period at the airport, various ground support services are provided to aircraft by specialized vehicles, including fueling, catering, baggage and cargo handling, cleaning, towing and so on. These services are performed by corresponding specialized vehicles, the scheduling of which is crucial to improving the level of ground support services and resource utilization. At present, a specialized vehicle scheduling method based on manual, one-vehicle-one-flight service is widely utilized at airport, which is costly and inefficient, and is one of the important factors leading to flight delays. To address the problem of ground towing support service scheduling at airport, a vehicle routing problem model was established in this paper based on minimizing towing distance and flight delays according to the operational characteristics of towing services. In contrast to traditional fixed algorithms, in order to adapt to the problem of towing scheduling, the concept of non-dominated sorting algorithm was employed in this paper to solve the model. By utilizing actual flight data from a domestic airport for validation, the research results indicate that the algorithm reduces the number of delays by 27% compared to actual operations, effectively lowering the flight delay rate. [ABSTRACT FROM AUTHOR]

Based on the learning characteristics of the higher quality professional farmer students, this article had taken the course of production technology and equipment of facility agriculture as an example, which was one of the core curriculum of the major of facility agriculture of Beijing Vocational College of Agriculture. The course teaching overall plan was elaborated in this paper in terms of teaching objectives, course content, teaching mode, curriculum politics and assessment program. Also, with the teaching implementation process analysis of the learning module task of installation and operation of soilless culture facilities, the teaching exploration and practice of the teaching team for this course was displayed in the paper, which provided profitable experience and reference for the deeper curriculum reform. [ABSTRACT FROM AUTHOR]

The implementation of the rural revitalization strategy focuses on the prosperity of industries, and the effective combination of industry, academia, and research is an effective means and important measure to promote the high-quality development of digital fisheries. By sorting out the policy environment for the high-quality development of central and local fisheries under the current background of rural revitalization, taking Taizhou City as an example, this paper summarizes and analyzes the current situation of fisheries and digital fisheries development, and introduces typical models of industry academia research to assist in the high-quality development of digital fisheries. This paper provides a certain reference for the construction of modern and beautiful fishing villages under the background of rural revitalization. [ABSTRACT FROM AUTHOR]

The relationship between plants and insects has always been a hot research topic for ecologists. In order to understand the current research and development status of the relationship between plants and insects in China, we took the literature on the relationship between plants and insects published on CNKI from 2002 to 2021 as data sources, using bibliometric methods and software, such as Excel and VOSviewer, to conduct statistical analysis on the annual number of papers published, authors, institutions, journals and keywords. The results showed that the number of published papers were the least in 2002, and then the number of annual papers increased rapidly, reaching a peak in 2006, and the largest number of papers was in 2020, with an overall upward trend. From the perspective of the main authors, most authors published less than 5 papers, and only 24 authors published 5 or more papers. Chinese Academy of Sciences, Chinese Academy of Agricultural Sciences and Zhejiang University were leading scientific research institutions in this field. Judging from the source journals, Chinese Journal of Applied Entomology, Acta Entomologica Sinica, Chinese Bulletin of Entomology and Journal of Environmental Entomology had the largest number of publications, which were more favored by researchers. From the research hotspots, domestic scholars mainly focused on the selection of host plants by insects and the defense of plants against insects in the research on the relationship between plants and insects. In a word, the current research on the relationship between plants and insects had been published in domestic journals in a relatively small number and the research direction was relatively concentrated. It was expected that more researchers should publish the latest scientific research results in domestic journals to promote the development of this field. [ABSTRACT FROM AUTHOR]

To systematically evaluate the regulatory effects of Yupingfeng polysaccharides on rodents immune function, RevMan3.5 software and Cochrane method was used to analyze. A total of 311 papers were obtained by computerized search of CNKI, VIP, Wanfang, Pubmed, Web of science and Science Direct databases on relevant literature on the effect of yupengfeng polysaccharides on the immunity of rodent, 14 papers were screened according to the inclusion criteria, and Meta-analysis was performed by using the software of RevMan3.5. Lymphocyte proliferation stimulation index (SI), interleukin 2 (IL-2), secretory immunoglobulin A (SIgA), molecular surface-specific marker molecule of helper T cells/cytotoxic lymphocyte molecular surface-specific marker molecule of cytotoxic lymphocytes (CD4+ /CD8+ ), splenic index, and transforming growth factor β1 (TGF-β1). Among them, SI, IL-2, CD4+ /CD8+, spleen index and TGF-β1, showed significant differences compared with the control group (P<0.05), while, SIgA, was not significantly altered (P>0.05) compared with the control group. Sensitivity analyses showed that the analyzed literature had stability and reliability. The publication bias results showed that IL-2 was biased, while CD4+ /CD8+ and spleen index were not. In conclusion, result indicated that Yupingfeng polysaccharide could improve the immune function of rodents to a certain extent, and more studies should be conducted to further verify its immunomodulatory effects. [ABSTRACT FROM AUTHOR]

The discrete element method is widely used in the analysis and improvement of agriculture machinery performance. To realize digital reproduction of maize seeding process based on discrete element method and improve seeding performance of seeding machinery, the corresponding maize grain assembly model needs to be constructed. In this paper, maize grain shape and size distribution of 10 common varieties in Northeast China were statistically analyzed, and a general shape classification method of maize grains was proposed. That is, the actual assembly of maize grains could be considered as a collection of horsetooth, spherical-cone, and spheroid maize grains. On this basis, the corresponding assembly modelling of maize grains was constructed based on the sphere filling method and discrete element method. Namely, a single maize grain model was used as a template, the main size was randomly generated according to a normal distribution, the other feature sizes were calculated from the main size to generate each maize seed model, and this was repeated; In addition, the corresponding number of maize seeds was generated according to the percentage of quantity, so that the characteristics of generated maize grain assembly model should be closer to the actual maize grain. The number of filling spheres was optimized through the stacking test and sieve test with the two varieties of maize. The results showed that when the number of filling spheres in the maize grain model was 10 ～ 14, 18, and 1 for horse-tooth, spherical-cone, and spheroid maize grain models respectively, the population characteristics of the maize grain discrete element method model were consistent with those of the actual maize grains, which preliminarily proved the validity of the proposed maize grain assembly modelling method. Further, a discrete element method simulation of the seed discharging process of the inner nest hole rower was carried out based on the established maize grain assembly model, and the rotation speed of the seed discharging wheel was optimized, and the optimization result (30 r/min) was consistent with the experimental one, which further demonstrated the validity of the proposed maize grain assembly modelling method. Finally, with the increase of the rotational speed of the seed discharge wheel, the single grain rate was the first to rise and then fall, the double grain rate was the first to fall and then rise, and when the rotational speed was 30 r/min, the single grain rate reached a maximum of 88%, and the double grain rate was the minimum of 11%. Cavity rate was the first to fall rapidly after the basic stability in the vicinity of 1%. This is because when the row of seed wheel speed gradually increased, the particles in the row of seed wheel under the perturbation of the centrifugal inertia force gradually increased, when the rotation speed of the seed discharging wheel was less than 30 r/min, the single particles could reliably rotated with the row of seed wheels, while more than the particles fell back to the bottom of the seed chamber due to the size limitations of the holes, the role of their gravity, and other factors. However, when the rotational speed of the seed discharge wheel was greater than 30 r/min, the centrifugal inertial force dominating the maize seed made it difficult for the excess particles to fall back to the bottom of the seed chamber and rotate with the seed discharge wheel's nest hole, which led to a decrease in the single grain rate. The results of this paper can provide a certain reference for the digital design of maize-seeding machinery. [ABSTRACT FROM AUTHOR]

Based on the background of rural revitalization, this paper explores the necessity and feasibility of integrating rural book houses with rural scenic spots from the perspective of cultural and tourism integration. Taking the four scenic spots of G Town in the Dabie Mountains as an example, this paper studies the strategies for the integration of cultural and tourism development in rural book houses from the aspects of spatial construction, resource construction, management system, and service innovation, in order to enhance the cultural connotation of tourist attractions, increase the tourist stickiness of tourist attractions, improve the utilization efficiency of rural book houses, increase user satisfaction with rural book houses, and promote the development of regional folk culture and the inheritance and development of excellent traditional Chinese culture. [ABSTRACT FROM AUTHOR]

Bipolar disorder (BD) is a complex mental illness characterized by mood fluctuations, excitability and impaired functioning. Anxiety in BD patients frequently leads to increased clinical symptoms, worse social functioning, and a higher risk of suicide. Current research on BD with anxiety symptom primarily examined clinical characteristics, prevalence and treatment, with limited focus and inconsistent findings on its neuro-biogenetic mechanisms. The findings in this area were also inconsistent. Magnetic resonance imaging (MRI), known for its non-invasive nature and high resolution, is extensively utilized in investigating disease mechanisms. Consequently, this paper gave a comprehensive review on the progress in brain imaging on BD patients with anxiety symptom, seeking to discern stable changes in brain structure and function, thereby enrich our understanding of the neurobiological etiology of this condition and offer valuable insights for clinical diagnosis and treatment strategies making. This paper covered 14 original studies and synthesized their findings on brain structure and function. Conclusively, the changes of brain functional activities in BD patients with anxiety symptom mainly involve the prefrontal lobe, posterior cingulate cortex, temporal lobe and angular gyrus, while the changes of brain structure mainly involve the left hippocampus and middle frontal gyrus, but the consistency of the research results needs to be enhanced. The research in this field is not sufficient, and more homogeneous clinical samples and larger longitudinal studies are needed to verify and supplement the above results. [ABSTRACT FROM AUTHOR]

Summary In response to the difficulties faced by the open data movement, the Chinese government has prioritized promoting the opening of high-value data sets to the public. However, the policy is promoted slowly in practice, and the basic problems are not studied enough in theory. Most of the existing literature focuses on open data subjects and open data platforms. and there is a lack of existing literature on data sets and their value recognition. This paper uses comparative research literature analysis and other methods to carry out research. Firstly, the paper analyzes the difficulties faced by the open data movement of governments around the world points out that the cause is the technical, institutional and organizational constraints, and puts forward the necessity and feasibility of opening high value data sets. Secondly, based on the process sorting and mechanism comparison of opening high-value data sets around the world, it is pointed out that the United States and the European Union have reached a consensus on basic positioning, promotion system and governance means. but there are also differences in goal orientation and regulation degree. Thirdly, the paper systematically combs the relevant practical exploration of European and American countries, extracts the existing experience, and analyzes the current challenges. Finally, in view of China's promotion of the priority opening of high-value data sets. it is suggested that based on the practical basis of data opening, the concept of data opening should be optimized. an open mechanism should be systematically established. and open norms should be clarified in a timely manner, so as to form a comprehensive, systematic and clear institutional system. Compared with previous literatures, this paper expands on the two aspects of experience extraction and countermeasures. First, the experience of European and American countries in exploring open high-value data set standards is summarized into the establishment of typed content standards. three-star formal standards and multi- agent participation procedure standards. Second, it puts forward the overall strategy of prioritizing the opening of high-value data sets in China including optimizing the opening concept and strengthening the market-oriented concept consciousness, the establishment of subjective and objective standard identification mechanism. policy and law reference system adjustment mechanism. data suppliers and data demand communication feedback mechanism. It also includes open specifications that clarify the concept of high-value data sets, content boundaries, and open order. This study systematically summarized the practical experience of opening high-value data sets outside the region. extracted the basic operation mechanism, analyzed the challenges faced by the current work of opening high-value data sets, expanded the existing theoretical research on data opening, and provided a foundation for comprehensive and in-depth research on open high-value data sets in the future. On this basis, the policy suggestions are helpful for the further development of China's practice of opening high-value data sets. [ABSTRACT FROM AUTHOR]

Summary In the digital economy era, platforms are becoming the core economic hub of the entire digital market. Their strong internal management capabilities and information screening and push capabilities make the alienation of some super- large platforms into "power subjects". In order to prevent platform power from hindering the development of a healthy competitive order in the digital market. Internet platform interconnection is regarded as a key mechanism for optimizing and transforming the development model of the digital market. However, there are still many controversies about the theoretical basis and institutional content of platform interconnection, among which more controversies are about how to balance platform interconnection and platform operating freedom. In practice. platform companies generally have the phenomenon of being lazy or delaying the promotion of interconnection for reasons such as user security and corporation business strategy. Under this practical situation, this article comprehensively sorts out and summarizes the institutional changes of interconnection by comparing the changes in the basic connotation of interconnection in the telecommunications industry and the platform economy era and the root causes behind it. Combined with the various theories and propositions of existing scholars on platform interconnection. it is found that the business compliance standards of interconnection actually include three levels of connotation: inter-accessibility, the superiority of small and medium- sized platforms, and the synchronous update of industrial forms. This paper believes that the essence of interconnection is the technical framework to ensure the openness and sharing of the Internet, and the interconnection between platforms at the level of antitrust law is to avoid the platform from splitting the entire digital market. In order to achieve the implementation effect of the interconnection system, the interconnection system can be used to supplement the revised provisions of the Anti-Monopoly Law of the People's Republic of China in the form of legal principles: first, around data acquisition capabilities. business lock-in levels. etc., clarify the interpretation logic of the standards for the identification of abuse of market dominance: second. based on size and market position formulate differentiated compliance requirements that are adapted to small and medium-sized platforms and super platforms respectively: third, internalize regulatory requirements into technical constraints, and expand interconnection at the algorithm level through data compliance technology. Compared with previous literature, this paper has revealed the legitimacy of the platform interconnection system to a certain extent, and has refined the basic principles and specific rules of the platform interconnection system under the antitrust law system. No longer confined to the discussion of the abstract value balance between platform interconnection and platform operating freedom in existing research, it turns to a more practical way to re-construct and analyze how interconnection can extend specific antitrust normative expressions from the three aspects of legal application. supporting system and implementation method. This research path effectively avoids the drawback that the conclusions of value balance analysis cannot be applied to actual regulatory activities, and provides more direct theoretical tools and institutional recommendations for antitrust legislation and enforcement. [ABSTRACT FROM AUTHOR]

Summary Recently, the United States has continuously exposed big confidentiality cases, involving individuals ranging from former or current presidents to retired soldiers, which on the one hand shows that the protection of state secrets is facing the challenges of the digital age, on the other hand, it also reveals the full coverage of the US confidentiality legal system. This paper argues that, as a pioneer in information technology and a cyber power in digital technology, the self-reflection and innovation of the US confidentiality legal system in keeping with the times reflect the development trend of future confidentiality legal systems, which is worth learning from when revising and improving confidentiality laws in China. The experience of the United States rule of law in confidentiality indicates that under the rapid development of digital technology, the national confidential legal system needs to establish a concept of classified information infrastructure that conforms to the characteristics of the times, and fully consider the security of endpoints. system environments personnel and corresponding capabilities for establishing, maintaining managing and destroying classified information, so as to actively respond to environmental changes and challenges caused by the application of network information technology. After World War II, the United States modernized and reformed its classified information infrastructure through laws and regulations constantly adjusting the delicate balance between information disclosure and confidentiality. Under the guidance of a series of executive orders of President Roosevelt. the classified information infrastructure was changed from wartime to peacetime. After the 9/11 incident, President Obama's Executive Order No. 13526 further transformed the confidentiality infrastructure, established a comprehensive controlled unclassified information system, and gradually formed a set of classified information security system construction. Different from other legal systems in the United States presidential executive orders have become an important component and main source of the US confidentiality legal system due to their relatively simple and efficient legislative process. After legislation, the US government attaches great importance to the effective implementation of laws, that is, supporting regulations, requiring relevant departments to timely formulate or modify standards, manuals and other normative documents for implementation. These standards and manuals are important tools for ensuring the effective implementation of confidentiality infrastructure laws, and also demonstrate the strong technical characteristics of their confidentiality infrastructure legal system. This paper proposes that for a long time the legislation on confidential infrastructure in the United States has been guided by national security strategies, and focuses on supporting cooperation of related industries and enterprises. In cyber society. the relevant laws of the United States have also strengthened the connection between confidential infrastructure and cyber security: in the face of the new international security situation brought about by the Russia- Ukraine conflict, the flexibility of its confidentiality law also supports the transfer of security benefits under its strategic intention. The current status and trends of legislation on confidentiality infrastructure in the United States. as well as the flexible support of legal enforcement for strategy, have provided new ideas for the construction and improvement of China's confidentiality legal system from the legislative concept of confidentiality law. the modernization of confidentiality rule of law and the standardized content and form of confidentiality legal system. [ABSTRACT FROM AUTHOR]

Summary In recent years administrative interview has gradually become an important tool for government departments to carry out network information content supervision. As a new way of administrative law enforcement, the Internet administrative interview contains the concepts of democracy, equality consultation and service, which greatly alleviates the contradiction with the administrative counterpart and improves the efficiency and quality of administrative law enforcement. From the perspective of responsive supervision theory, this paper uses qualitative text analysis software Nvivoll to conduct quantitative statistics and qualitative analysis on 265 administrative interview texts collected from national and local Cyberspace Administration official websites and other open channels. This paper presents the general situation and general characteristics of Internet administrative interview from six dimensions: interview subject, interview object, starting mechanism, interview content, interview strategy and interview result. Specifically speaking: in terms of interview subjects, government departments are the leading force of interview, and interview subjects of different levels also have great differences in the number of interview objects and interviews, and the participation degree of non-governmental subjects is relatively low. The interviewees are mainly divided into three categories; trans-regional large-scale Internet information service enterprises, regional media organizations, ordinary Internet users. and we-media. Among them trans-regional large-scale Internet enterprises are the most frequently interviewed. There are two kinds of interview initiation mechanisms, the active one with government power as the discovery mechanism and the passive one with social power as the discovery mechanism. The interview content is divided into three kinds, qualification violation, content anomia and obligation notification. The interview strategy is divided into independent interview, joint interview and concentrated interview. The result of the interview is general punishment and administrative punishment. The practice shows that the Internet administrative interview still has great room for optimization. On this basis, this paper constructs the operation mode of Internet administrative interview from the perspective of responsive supervision, including the diversification of interview participants. the "differentiation" of interview strategies, the two-way communication mechanism that attaches importance to interview, and the establishment of a progressive punishment tool system starting from interview, so as to improve the standardization and effectiveness of Internet administrative interview Compared with previous study, this paper expands in the following two aspects, first, it analyzes and summarizes the large sample interview cases in practice, and extracts the key dimensions of the Internet administrative interview system, Second, guided by the theory of responsive supervision, the paper constructs a responsive supervision model for the operation of Internet administrative interview, so as to realize the return from theory to practice. The research in this paper reveals the practice and overall characteristics of China's Internet administrative interview system to a certain extent, which is helpful for government departments to better implement administrative interview under the concept of "responsive supervision", and has important implications for promoting the standardized operation of Internet administrative interview and enhancing the vitality of Internet administrative interview system. [ABSTRACT FROM AUTHOR]

Summary With the wave of digitalization, digital government has become an important means to enhance governance capabilities and improve governance effectiveness. In this context, local governments in China have begun to develop digital government initiatives. However, in practice, there has been an imbalance in the development of digital government across different regions. On one hand, the eastern region has seen rapid progress in digital government development: on the other hand, the central and western regions have experienced more setbacks than successes in their digital government initiatives. While existing literature has focused on the institutional design and typical cases of digital government, there is insufficient attention paid to how to build high-performance digital government. This study conducts fixed-effect quantitative analysis and crisp-set qualitative comparative analysis at the prefecture- level city government granularity. Specifically, relevant first-hand data is collected using Python web crawling. combined with data from the "China City Statistical Yearbook," statistical bureaus of prefecture-level cities, and the People's Daily Online leadership message board to construct a panel dataset of prefecture-level cities from 2011 to 2019. The study adopts the measurement method of Quan Yizhang and Chen Yifan (2024) to calculate the degree of digital government development in 229 prefecture-level cities. It identifies eight factors influencing digital government development based on three dimensions: "resource allocation." "performance diffusion," and "catalytic promotion." The fixed-effect regression analysis examines the statistical significance of these eight factors and finds that all variables, except for the educational degree of the top leader, have a positive promoting effect on digital government development. Based on this, the study divides the cities by region and refines the top 1% cases to combine the conditional variables, analyzing the configuration paths for the eastern, central, and western regions. The analysis reveals that horizontal pressure is a necessary condition for achieving high-performance digital government in eastern cities. fiscal support is a necessary condition for central cities, and fiscal support. vertical pressure, and government attention are necessary conditions for western cities. Eastern cities have two paths: "externally promoted" and "internally driven." Central cities have two paths: "leadership-focused" and "environment-catalyzed." Western cities have a "collaborative construction" path. Compared with previous studies, the marginal contribution of this paper is as follows: first, this paper adopts Python crawler technology to obtain first-hand data, and combines multiple data sources to build panel data set of prefecture-level cities, which provides a more comprehensive and accurate data foundation for the study of digital government construction. Secondly, this paper adopts the method of fixed-effect measurement and crisp-set qualitative comparative analysis, which not only considers the statistical relationship between variables, but also pays attention to the differences between regions and the allocation path. This comprehensive analysis method makes the research results more comprehensive and in-depth, and provides quantitative and qualitative understanding of digital government construction. Finally, 229 prefecture-level cities are divided into regions, and the construction paths of digital government in eastern. central and western regions are analyzed respectively. Through qualitative comparative analysis. the paper reveals the necessary conditions and path selection of digital government construction in different regions, and provides targeted construction strategies and decision-making references for governments in different regions. The research in this paper reveals the internal logic of how to build a high-performance digital government to a certain extent, which is helpful for governments in different regions to choose the path to build a digital government according to local conditions under the condition of heterogeneous resource endowment, and implement precise policies to realize the construction of digital government. [ABSTRACT FROM AUTHOR]

Summary With the rapid development of knowledge economy, the function of business incubators has been constantly updated and evolved, and business value creation mechanism has been different from the past. It needs to be further clarified whether the existing incubators have adjusted their value proposition or still maintain the original business operation mode. Research on existing incubators should avoid too much data description, and should actively explore and establish the consistency theory that leads to the differences in incubator development. In addition, the business model of business incubators has gradually undergone diversified evolution over time, and there are few systematic frameworks that can reflect the multi-level and dynamic evolution of the business model of business incubators, which is also the deficiency of existing studies. It is of theoretical significance to reveal the essential characteristics and explore the law of the evolution of business model of business incubators over time. Based on this, the study first adopts the grounded theory research method and NVivoll and other software, through the open coding, spindle coding, selective coding and theoretical saturation test, to get the basic framework of its business model, including three dimensions of value proposition, value production and value acquisition. After that. this study further uses the multi-case comparative research method to systematically analyze the above three dimensions of business model from the three levels of basic, intermediate and advanced respectively. The paper deeply explores the evolution direction and purpose of different dimensions of the business model, and finally constructs the multi-tiered theoretical framework. The research results of the paper mainly include the following four aspects. First, business incubators have long been not only a tangible arrangement for start-ups. but also an effective organization that "incorporates knowledge services into its value proposition". The development of many business incubators is led by the government, so their value and mission will drift, making it is particularly important to maintain strategic consistency. Second, business incubators mainly generate value through tangible services, intangible services and network services. This process mainly aims at the pursuit of learning effect and legitimacy. The learning effect is mostly reflected in the experiential learning and ability cultivation of tenants, while the network service will increase the knowledge accumulation degree of both parties and increase the legitimacy status of tenants in the market. Third, business incubators ultimately need to secure benefits through commissions, support service charges and the acquisition of added value, but sustained and stable cash flow and profitability must depend on a lower cost structure. Finally, there is an inherent feedback and evolution process in the business model of business incubators, which is ultimately reflected in the clarification of the value proposition of business incubators. Usually, the value proposition of business incubators in the early stage is vague, but as time goes by, business incubators will explore more efficient ways of value creation and constantly improve their own value proposition, so as to ensure the consistency of strategy. To sum up, the theoretical system of business model of business incubators is more hierarchical and systematic, which is consistent with the theory of incubation ecosystem system emphasized at this stage. The study reveals the essential characteristics of business model of business incubators, and explores the law of the evolution of business model of business incubators over time. The study is of great theoretical significance for strengthening the construction of the theoretical system of business incubators, and for clarifying the orientation and evolution direction and derivative logic of the business models of business incubators. At the same time, the study can provide a reference for the government departments to further improve the relevant policies to support the development of business incubators. [ABSTRACT FROM AUTHOR]

Summary In recent years with the rapid development of digital technology, many countries around the world have devoted themselves to the wave of the discovery of central bank digital currencies (CBDC). China has abio seized the opportunity to research and develop E-CNY and actively carried out pilot work across the country, However, there are still some realistic problems such as the scale of the E-CNY pilot is not wide enough and users are not easy to develop the habit of using E-CNY. In this contest, it is meaningful to analyze the influencing factors and action paths of the acceptance and use of E-CNY from the perspective of comprehensive system characteristics for promoting the wide use of users and deepening the pilot work of E-CNY Based on UTAUT2 model, innovation diffusion theory and perceived risk theory, this paper constructs a research model of influencing factors for the acceptance and use of E-CNY, and obtains 1.976 data through questionnaire survey. First the structural equation (SEM) is used to verify the net effect of assumptions and variables measure performance expectations, effort expectations, social impact, convenience conditions, individual innovation positive impact acceptance willingness perception of risk negative impact acceptance willingness convenience conditions habits, acceptance willingness to positively affect the use behavior, acceptance willingness plays a significant mediating role in the effects of performance expectation effort expectation social influence and perceived risk on use behavior. Then, the fuzzy set qualitative comparative analysis method (IsQCA) is used to study the configuration paths that induce the high-frequency and low-frequency use behavior of E-CNY. The results show that the conditional external drive mode, experience focus mode, internal dominant mode, comprehensive action mode, personality impact mode and security tendency mode can realize the high-frequency use of E-CNY: environment missing mode and risk obstruction mode will lead to the low-frequency use of E-CNY. Compared with previous literature, this paper expands in the following three aspects, first, it adopts the method of SEM and BOCA to study the influencing factors and configuration Paths of the acceptance and use of E-CNY for the first time. Second, the influencing factors of acceptance willingness and me behavior of E-CNY as well as their mutual relationship are studied simultaneously. Third, the number of effective research data and cases reached 1976, which is a large sample in the analysis and research combined with SEM and fsQCA, having reference significance The research of this paper lays a theoretical foundation for currently accelerating the promotion and application of E CNY, and puts forward effective paths to promote the acceptance and use of E-CNY from the aspects of boosting the development of application scenarios and coological construction, enhancing user stickiness, cultivating citizens digital literacy, lifting user experience and utility, strengthening security and legislative supervision, and implementing publicity. [ABSTRACT FROM AUTHOR]

Summary Duc to the outbreak of the Covid-19 epidemic around the world in 2020 and the huge impact on the global supply chain, small and medium-size enterprises (SMEs) are facing huge pressure to survive and the financing conditions for SMEs are is particularly difficult. Once the cashflow chain is broken. SMEs may face bankruptcy, thus endangering the survival of large and medium-sized firms, and may even lead to the collapse of the whole supply chain. In the long term. the financing constraints of SMEs have been a problem that has plagued many countries around the world, including developed countries, and have not been effectively solved. Supply chain finance is one of the effective methods to alleviate financing constraints for firms. However, traditional supply chain finance has many shortcomings, such as information asymmetry, transaction forgeries, difficult credit evaluation, low business efficiencies. and inconvenient regulation of collateral. This paper utilizes the excellent. characteristics of blockchain to empower traditional supply chain finance, which can effectively resolve the shortcomings of traditional supply chain finance and help alleviate the financing constraints of firms. The research results not only can provide a new way to effectively solve the financing constraints for SMEs, but also can make a positive contribution to the comprehensive development of the digital economy and society. Currently, most literatures mainly discuss the basic characteristics, development models, business optimizations, and evolutionary games of blockchain-based supply chain finance. This paper firstly indicates the reasons for choosing the consortium blockchain and illustrates the network constructions of the supply chain finance system based on consortium blockchain. And then we initially analyze the operating mechanism of the system through adopting PBFT algorithm to achieve consistent consensus. We finally show the application scenarios of accounts receivable financing in our system. The main results we found are as follows. Firstly, because of the outstanding performances of the consortium blockchain, such as partial decentralization. consensus trust, tamper-proof, traceability, smart contract, privacy and security, it is much more suitable for the consortium blockchain rather than a public blockchain or private blockchain to build up the supply chain finance system. Secondly, the existing literatures of blockchain-based supply chain finance are not abundant and there are very rare researches about its internal logicality and operating mechanisms. Through carrying out the processes of selecting the master node, packaging data. building new blocks and verifying messages, the PBFT algorithm can achieve consistent consensus among all the nodes, which is the essential key to the operating mechanism of the supply chain finance system based on consortium blockchain. Meanwhile, this paper optimize the "requests pool" in the consensus processes and propose the data structures of the consensus algorithm. We hope to provide the theoretical references for the R&D and applications of the blockchain-based supply chain finance system for banks and firms. Thirdly, from the three perspectives of business processes, data adding to blockchain and financing performances. this paper discusses how banks and firms utilize the blockchain-based supply chain system to implement the financing businesses of accounts receivable. Compared with the common trade finance and the traditional supply chain finance, our system could be able to significantly shorten corporate financing time, reduce corporate loan interest rate and expand corporate loan volume. Our research is not only conducive to solving the corporate financing difficulties. especially for small and medium-sized enterprises, but also provides theoretical foundations and practical guidance for firms and banks to exploit and develop the supply chain finance system based on consortium blockchain. [ABSTRACT FROM AUTHOR]

Summary Building a new development pattern is a strategic choice made in the light of China's own development stage and conditions, taking full account of economic globalization and changes in the external environment. It is an inevitable choice for China to rebuild its competitive advantage after entering a new development stage. In-depth exploration of the industrial policy system's evolution and main trends that adapt to the new development pattern is not only the need for actively responding to the actions of developed countries to suppress China with the stick of industrial policy. but also the need for promoting China's high-quality development. For more than 40 years since the reform and opening up, the main goal of industrial policy system has been to promote China's economic growth. The selective industrial policy committed to catching up with developed countries has promoted economic growth, but also caused great damage to the market environment of fair competition. Under the new development pattern, stimulating internal competition and strengthening external security have become the new main goals of industrial policy system. To build a new development pattern, industrial policy is still an indispensable tool for promoting domestic and international double circulation and promoting high-quality economic development due to great changes in internal and external environment and factors such as the development environment of the times and industrial policy objectives. However, the previous industrial policy objectives and pattern should be adjusted and upgraded. The narrow industrial policy which is represented by industrial structure policy and industrial development policy with selective characteristics, scientific and technological innovation policy and competition policy and some other polices together constitute the broad industrial policy system closely related to economic development, but the implications of above policies overlap. Based on the perspective of economic development stage, this paper clarifies the integration. coordination withdrawal and reconstruction of industrial policy, scientific and technological innovation policy and competition policy. And we clarify the evolution of the three types of policies in the four stages of economic development, and try to explore the basic role of various policies in the construction of new development pattern. The new development pattern that makes the national economy supply and demand to achieve a virtuous cycle is a dynamic process. It requires that industrial policy and competition policy, special science and technology innovation policy dedicated to overcome the"stuck neck" difficulties and conventional science and technology innovation policy are balanced and coordinated with each other. Based on the above analysis, this paper proposes that under the diversified policy goals of the new development pattern. the relationship between the three types of economic policies is not the opposite but the complementary and coordinated. And China's policy system should be structured as follows: competition policy should be the basis of all policies: industrial policy and competition policy coordinate with each other; selective industrial policy gradually gives way to functional industrial policy; science and technology policy pay more attention to the front of the innovation chain than the back and the new nationwide system keeps the selective character. Finally, this paper further puts forward some suggestions to improve the industrial policy system under the new development pattern. such as establishing anti-monopoly law enforcement agencies. establishing a multi-level policy coordination mechanism. improving the whole-process governance mechanism of industrial policy. The conclusion in this paper is of great significance for exploring what kind of industrial policy system is needed in the new development pattern and what is the evolution trend of China's industrial policy system in the future. It also provides institutional innovation impetus and important policy tools for China to build a new development pattern. [ABSTRACT FROM AUTHOR]

According to historical materialism, the economic base consists of the sum of the relations of production determined by the productive forces. Cultural construction, as a part of the superstructure, reflects and serves the economic base. The new quality of productive forces is the innovation of Marx's concept of productive forces, which still belongs to the category of productive forces in essence. The construction of socialist culture with Chinese characteristics mainly includes consolidating Marxist ideology, leading social values, cultivating innovative culture, developing cultural industry and many other aspects, and is part of the superstructure. The development of new quality productive forces and the construction of socialist culture are two key elements of the construction of socialism with Chinese characteristics. They are not separated from each other or irrelevant, but they are two important parts of mutual penetration, mutual influence and internal correlation. In-depth study of the logical relationship between socialist cultural construction and the development of new quality productive forces, analysis of the current difficulties in promoting new quality productive forces by cultural construction and based on this, put forward the relevant expansion path, is the internal requirements for further developing new quality productive forces, promoting high-quality development, and promoting Chinese-style modernization. First of all, this paper analyzes and summarizes the internal logic conjunction point of cultural construction to promote the new qualitative productivity from three aspects, mainly answers the"Why" of cultural construction to promote the new qualitative productivity, and what is the conjunction point of the two? Through research and analysis, it is pointed out that one of the conjunction point between the two is that cultural construction helps to anchor the value objective of the new qualitative productive forces, and the other conjunction point is that cultural construction helps to optimize the dynamic system of the new qualitative productivity, the third point of agreement is that cultural construction helps to develop new industrial patterns of qualitative productivity. Secondly, this paper insists on the problem-oriented, from the reality analysis of the cultural construction to the promotion of the new quality of productivity in the process of facing "What" difficult problems. Through research and analysis, it is found that the main difficulties currently existing are: the lack of cultural and technological integration restricts the conformal development of new quality productivity forces, the lack of cultural literacy of workers restricts the endogenous development of new quality productive forces, and the lack of respect for innovation restricts the exogenous development of new quality productive forces. In the end, this paper answers the difficult problems in promoting new qualitative productivity from the perspective of cultural construction, and explores three specific development paths. First, culture construction helps to cultivate "New talents" and stimulate the vitality of talents for the development of new quality productive forces. Second, cultural construction helps to conquer"New technology" and injects core energy for the development of new quality productive forces. Third, cultural construction helps to create"New industries"and provides a strong impetus for the development of new quality productive forces. At the new historical starting point, it is an important task of the times to promote the new quality productive forces through cultural construction, which is the realistic requirement to adapt to the new situation, responding to the new expectation and the new challenges. This research has deeply answered why cultural construction can promote new qualitative productivity, what are the problems faced and how to further promote new qualitative productivity through cultural construction. Besides, it provides a useful reference for the follow-up research on the new path of developing new qualitative productivity, which is of great theoretical significance and practical value. [ABSTRACT FROM AUTHOR]

Under the new wave of sciemific and technological revolution and industrial change, how to continuously introduce new technologies and advanced production factors to cultivate new quality productive forces. It is a major issue that must be answered in the process of China's modernization by promoting strategic emerging industries and developing and expunding the industries of the future by promoting the in-depth transformation of traditional industries and seizing the commanding heights of global industrial development, and by constructing a modernizal industrial system with global competitiveness. This paper found that the leap in productivity in the previous industrial revolutions has driven industrial change and the formation of industrial systems. In the context of the new scientific and technological revolution the new quality productive forces shows a new era of connotation and characteristics, and plays a crucial driving role in the modern industrial system. In the context of Chinese modernization China's modern industrial system includes industrial structare system, industrial organization system, industrial factor system, industrial function system and industrial support system. The new quality Productive forces continuously optimizes the industrial structure system industrial organization vystem, industrial factor system, industrial function system and industrial support system through the effect of technological empowermem organizational reshaping factor upgrading chain mending and chain strengthening, and the effect of building up a strong foundation, etc. and it constantly promotes the construction of integrity, advancement and safety of the modernized industrial system.. This paper imerprets the important connotation of new quality productive forces from the three keywords of "New". "Quality" and "Productivity" based on the theory that productivity includes both physical and permeable elements. This paper closely follows the frontier of science and technology, focuses on how to cultivate new quality prodactive forces to promote the construction of modern indatrial system in an all-round, multi-level. Compared with other literature, it has a unique resesarch perspective and value. In addition, this paper focuses on the main directions of "Inner", "Entity", "Digitalization", "Greening" and "Future", clarifies the construction of modern industrial system and its mechanism, and puts forward relevant countermeasure suggestions based on the current problems in the construction of a modern industrial system with integrity, advancement and safety in China, which alo provides ideas and ways for the development of the new quality productive forces The study on new quality productive forces in this paper provides technical direction, resource guidance and mechanism support for the construction of a future-oriented modern industrial system in China. New quality productive forces is a new growth point for the revitalization of the economy of all countries, and its formation process can breed more core technologies and high-quality talents promote synergistic innovation between industries and thus improve the international competitiveness of the industries of all countries. This is an inevitable requirement for high-quality economic development and a new mission for building a modern socialist country in all respects. The development of new productive forces is an inevitable requirement for high-quality economic development and a new mission for the comprehensive construction of a modern socialist country. [ABSTRACT FROM AUTHOR]

The spatial distribution of talent is crucial in shaping the spatial patterns of industries. ‘Industries following talent’ has emerged as a new trend. However, a unified analytical framework for the causal logic between industrial and talent agglomeration is still lacking, and the micro-level mechanisms of their interaction remain theoretically unexplored. This paper extends the footloose entrepreneur (FE) model in new economic geography by relaxing the strong assumption of simultaneous mobility of talent and firms. It incorporates the driving mechanism of local quality in new spatial economics and the heterogeneity of talent. By establishing a general spatial equilibrium analytical framework, this paper explores the interactions of heterogeneous talent agglomeration and its micro-level mechanisms affecting industrial agglomeration. The conclusions are as follows: low-skilled talent is more likely to generate agglomeration incentives than high-skilled talent and serves as a precursor for initiating and sustaining the agglomeration of manufacturing industries; when trade costs are high, the agglomeration of low-skilled talent exerts a crowding-out effect on high-skilled talent and weakens the industrial agglomeration pattern; conversely, when trade costs are low, low-skilled talent exerts an inducement effect on high-skilled talent and strengthens the industrial agglomeration pattern; due to the differing agglomeration thresholds faced by heterogeneous talent and their interdependent distribution, the economy does not necessarily form symmetric equilibria and core-periphery structures; instead, it may result in interior equilibria characterized by the agglomeration of low-skilled talent and the dispersion of high-skilled talent, and the scattered distribution of industries; the heterogeneity in the type distribution of talent acts as a dispersive force on regional industrial patterns, while the efficiency heterogeneity of talent acts as an agglomerative force. It is recommended that local governments prioritize talent first, attract industries through talent, and formulate strategies for talent introduction tailored to local conditions. Additionally, they should focus on promoting trade integration to reduce trade costs for enterprises. Furthermore, the government should enhance and improve human capital growth channels for lower-tier talent and ordinary workers. [ABSTRACT FROM AUTHOR]

CRISPR/Cas12a system can accurately identify specific single-stranded DNA or double-stranded DNA containing PAM sequences with programmable guide RNA. Then, the non-specific single strand DNA can be cleaved rapidly at the same time as the target substrate, which shows great prospects in biosensing. In recent years, the CRISPR/Cas12a system has been widely used for assisted detection of biomarkers, and its biomarker sensing platform has been applied in the construction of biomolecular sensors such as visualized cell pathways and in vivo diagnostics. Based on the principles of CRISPR/Cas12a biosensing platform construction, this paper summarizes the variants of CRISPR/ Cas12a system under different application scenarios, then highlights and summarizes the applications of in vitro and in vivo sensing platforms based on this system, and further discusses the characteristics of different sensing platforms. Finally, the paper summarizes and prospects the advantages and limitations of current applications, aiming to provide a certain reference for the research and application in this field [ABSTRACT FROM AUTHOR]

Female gametophyte development is an important prerequisite for sexual reproduction in flowering plants, including two key events, macrosporogenesis and female gametophyte development. The development of the female gametophyte determines whether the plant can be properly fertilized and complete the reproduction of generations. Auxin is a widespread phytohormone in plants, and the polar distribution of auxin in the ovule ensures the normal development of the ovule. However, due to the complexity of the auxin signaling pathway and the fact that female germ cells are located inside the tissues, the regulatory network and molecular mechanism of the auxin signaling pathway in the female germline are still unclear. In this paper, we summarize the studies related to auxin synthesis, dynamic equilibrium and signaling, and review the studies on auxin regulation of macrosporogenesis and female gametophyte genesis. The aim of this paper is to provide a reference for the further study of the auxin signaling pathway on female germline establishment. [ABSTRACT FROM AUTHOR]

The spatial conformation of chromosomes within the nucleus plays a pivotal role in gene expression, DNA replication, DNA damage repair, and gene stability. Understanding the intricate spatial organization of chromosomes is crucial for studying disease occurrence and development. However, our current understanding of changes in chromosome spatial conformation remains insufficient, limiting our ability to investigate the relationship between chromosomal structure and disease. This limitation primarily stems from the need for further development and refinement of high-resolution techniques used to study chromosome spatial conformation. In this paper, we provide a brief overview of the fundamental spatial structure of chromosomes before delving into detailed discussions on the application of fluorescence in situ hybridization (FISH), chromosome conformation capture (3C) and its derivatives, along with relevant research findings. To achieve more accurate real-time observations of chromosomal dynamics and spatial organization, it is imperative to conduct experiments using live cells. Therefore, this paper provides an extensive description of how fluorescence microscopy-based location tracking technology and chromosome dynamic tracking technology have been applied in studying chromosomal spatial conformation as well as highlighting notable achievements in this field. Finally, based on evaluating the strengths and weaknesses associated with various techniques employed thus far, we identify existing challenges within chromosomal spatial conformation studies while offering suggestions for future research endeavors. [ABSTRACT FROM AUTHOR]

Based on the construction and practice achievements of the National Experimental Teaching Demonstration Center of Applied Chemistry (University of Jinan) from 2018 to 2022, this paper summarized and analyzed the effectiveness and experience of the center’s development. The analysis covers aspects such as management and operation mechanisms, teaching reform research, experimental teaching conditions, faculty development, and the effectiveness of demonstration and leadership. The paper also identifies existing problems and shortcomings of the center and provides an outlook on future development plans. The demonstration center has adopted a "three-stage" training methodology, implemented "ability-literacy oriented" experimental courses, and built a comprehensive innovation and practice platform integrating "production, learning, research and innovation". The demonstration center effectively cultivated the practical ability and innovative spirit of students and played an important role in the demonstration radiation of enterprises, public institutions and local colleges and universities. [ABSTRACT FROM AUTHOR]

Organoid-on-a-chip technology emerges as a groundbreaking interdisciplinary innovation of the 21st century, cultivating human cells in three-dimensions ex vivo to form organoids. These organoids replicate human physiological and pathological conditions as well as functions akin to human organs. Integratable with electronic chips, this technology finds extensive applications in drug screening, safety evaluation, personalized medicine, in vitro diagnosis. As a recent avant-grade technological advancement, organoid-on-a-chip demonstrates several benefits over traditional cell-based animal testing methods used for drug screening, such as lower costs, better animal welfare, higher precision, and wider applicability. This positions it at the forefront of future drug screening and safety evaluation methodologies. The use of organoid chips in drug screening encapsulates a plethora of inherent biochemical principles. Incorporating organoid-on-chip related knowledge into university curricula plays a significant role in enabling medical and pharmaceutical students to stay abreast of the forefront in drug development and to grasp biochemical concepts in a more systematic manner. Therefore, this paper begins with the concept of organoid chips, exploring their design, principles, and applications in drug screening, while anticipating their future developments. Simultaneously, it focuses on the multidisciplinary interdisciplinary characteristics of organoid chips in fields, such as cell biology, medicinal chemistry, biochemistry, and electronic information science, analyzing the inherent biochemical principles. In line with this, the paper proposes an 8 lecture-course design for the Biochemistry curriculum, aiming to meet the evolving educational demands for nurturing innovative talents in the pharmaceutical sector. [ABSTRACT FROM AUTHOR]

This paper analyzes the issues in the digital information construction of experimental teaching demonstration center in colleges and universities, highlighting the significance of education digitalization in the reform and teaching of chemistry experiments. Based on the characteristics of the chemical experimental center in Heilongjiang university, the paper summarizes the digital construction and exploration of the center in three levels: digital information platform, digital teaching resources and digital teaching mode. The center has developed digital teaching resources including chemical experiment safety with clear guidance and three-dimensional structure, virtual simulation with advanced system and comprehensive innovation, and basic chemical experiment with rich content and various forms. The blended teaching modes combining online merge-offline hybrid chemistry experiment safety, theory class, offline experiments, virtual simulations, and MOOCs have been established. The results achieved provide valuable insights for the digital construction of similar university laboratories. [ABSTRACT FROM AUTHOR]

The Yi horn pattern an indispensable part of the Yi pattern has a strong attribute of "pattern symbol" and is widely used in the form of embroidery patterns in the Yi costumes. It is a heavy historical precipitation of the Yi sheep culture. Nowadays there are few studies on Yi horn patterns in the academic circles and they are incorporated in the comprehensive field of Yi culture research and Yi dress research. There is a lack of systematic combing and summarization and a dearth of in-depth excavation of the level of cultural connotation. From the perspective of Saussure's semiotics this paper adopted the method of corroboration between relevant literature and physical objects and then explored the causes and cultural context of the development of Yi sheep's horn patterns by examining the historical evolution of the shape of the Yi sheep's horn pattern summarizing its organizational structure features and the rules of color application. Two major conclusions are drawn. Firstly at the signifier level the Yi sheep' s horn pattern presents abstract and geometric symbolic features and balanced and unified formal characteristics and the basic shape composition is the interdependent and opposite whirlwind image composed of two whirlwind images. After the evolution on the basis of maintaining the basic features many combinations of deformations appeared which were mostly used in combination with ferns and other botanical motifs reflecting the Yi people' s inheritance and innovation of this cultural symbol. In the layout and placement of its independent pattern the pattern form and the Yi costume structure fit each other its continuous patterns are mostly organized in a two-way organization to highlight the sense of order and solemnity the use of color and the whole show the characteristics of unity of opposition. Secondly at the level of the signified of the Yi horn pattern the Yi people live in the context of the sheep-based animal husbandry mode of production and the Yi horn pattern is regarded as a symbol of a carefree peaceful and well-being life and carries the Yi people' s pursuit of wealth and good fortune. At the same time the Yi horn pattern plays an important role in the Yi rituals and rules and system culture confirming the original totem worship of the Yi people and that the sheep also plays a fair and just symbol in the legal system of the Yi ethnic group. Finally the shape and structure of the Yi horn pattern contain the traditional concept of creation of the Yi ethnic group and its symmetrical structure and double helix shape are symbolic expression of the male and female concept of the Yi ethnic group. This paper analyzes the Yi ethnic group 's horn patterns through Saussure 's semiotics and summarizes the development evolution and characteristics of its shape structure so as to study the deep cultural connotation provide practical examples for the study of Yi ethnic group' s horn patterns and contribute to promoting Yi culture. [ABSTRACT FROM AUTHOR]

With the dramatic increase in the scales of e-commerce livestreaming the number of e-commerce livestreaming users has reached 48. 8% of the overall Internet users in China. The huge supply demand requires live e-commerce stores to improve their dispatching efficiency and reduce inventory. Therefore in order to avoid retailers' profit loss it is necessary to find a more accurate method to predict livestreaming sales. The sales prediction methods mainly include traditional statistical methods and machine learning algorithms. Due to the instability of livestreaming sales and the large number of influencing factors traditional statistical methods often fail to predict the sales accurately. To complete the index system of livestreaming sales prediction and improve the accuracy of livestreaming sales prediction this paper adopted a variety of machine learning algorithms BP neural network decision tree DT random forest RF K-nearest neighbor KNN and support vector machine SVM analyzed the influencing factors of apparel livestreaming sales predicted apparel livestreaming sales and selected the best performing algorithms. The detailed research process is as follows. Firstly 17 influencing factors of livestreaming sales were selected through literature review and nine most important influencing factors were selected by using Spearman' s correlation coefficient combined with significance. Secondly different machine learning algorithms were used to establish clothing sales prediction models and the method of 5-fold cross-validation was adopted to initially screen out three algorithms RF KNN and SVM with high and stable model fit with R² as an indicator. Finally the parameters of the three algorithms were optimized and then three prediction models were constructed. R² MAE RMSE and MAPE were used as evaluation indexes and the optimal algorithms were selected by using the method of 5-fold cross-validation to test the performance of each model. The results of the study show that the multicollinearity between the nine factors number of fans of the anchor average number of viewers of the anchor in the last 30 days average pit output of the anchor in the last 30 days product price duration of product explanation historical sales of the product in the last 30 days number of fans of the brand historical sales of the brand in the last 30 days and discounts is weak and their correlation with the livestreaming sales is significant. Therefore these nine factors can be used as influencing factors in the prediction model. Among the influencing factors the correlation among product sales in the last 30 days the duration of product explanation and livestreaming sales is the highest. In the meanwhile the prediction algorithms KNN and RF perform better with R² being greater than 0. 98 and MAPE within 30. 5% . Compared with the KNN algorithm the RF algorithm is more stable and its R² RMSE and MAE perform better than those of the KNN algorithm. But the MAPE of the KNN algorithm is smaller than that of the RF algorithm for which the possible reason is that the KNN algorithm is more accurate in predicting low sales items and the relative error is smaller. According to the result of 5-fold cross-validation the RF algorithm is more stable compared with the KNN algorithm and the possible reason is that the KNN algorithm is more suitable for the dataset with more similar data features. Therefore RF can be used as the main prediction algorithm in practical applications to ensure the stability of the overall sales trend prediction. In predicting the sales of the same brand or the same category the similarity between the data is higher and then the KNN algorithm can be considered for prediction. This paper compares the performance of various prediction algorithms on livestreaming sales prediction optimizes the parameters and improves the accuracy of livestreaming sales prediction. The prediction results can help retailers make inventory planning adjust production schedules develop marketing strategies and provide data support for product purchasing pricing and promotion. Due to the fact that only some of the easily quantifiable influencing factors are explored in this paper and the sample distribution is limited future research can expand the scope of sample selection and further improve the predictive indicator system to achieve more accurate predictions. [ABSTRACT FROM AUTHOR]

With the development of science and technology as well as the impact of intelligent and digitalized industries the inheritance and development of intangible cultural heritage is facing new challenges. At the same time consumers'requirements for Miao embroidery products have become increasingly personalized and diversified greatly increasing the difficulty of designing producing and selling Miao embroidery products. At this stage the inheritance and development of Miao embroidery culture is slow and there are great problems in its development and innovation so it becomes quite important to organically combine Miao embroidery with intelligent embroidery machine in order to improve the flexibility of Miao embroidery design and its production efficiency. To inherit the Miao embroidery culture and assist the research and development of modern Miao embroidery product design this paper first analyzed the crepe embroidery technique in the three-dimensional Miao embroidery method and then developed the digital simulation crepe embroidery by using the JANOME intelligent embroidery machine and the Aritistic Digitizer embroidery plate-making software solving the problem of realizing the handmade crepe embroidery texture effect by using the machine. Then 22 Miao embroidery-related experts and scholars were invited to score the developed digital simulation crepe embroidery pieces from multiple angles and the comprehensive scoring results confirmed the feasibility and reasonableness of the digital simulation of handmade crepe embroidery and at the same time higher requirements were put forward for its quality effect. Finally to explore the relationship between digital simulation of crepe embroidery and three-dimensional process parameters three process parameters were selected for the filling experiment and the contour experiment and 480 groups of one-factor experiments in total were designed. Employing Origin and SPSS data analysis software to explore the effects of the four process parameters including the machine needle thickness matching method of face and bottom line stitch length density ratio and stitch width of the outer contour line on the thickness of digital simulation crepe embroidery in the filling experiment and contour experiment the article constructed the multivariate regression equation between digital simulation crepe embroidery thickness and the three-dimensional process parameters. This paper broke through the limitation that machine embroidery technology cannot realize the three-dimensional Miao embroidery's embroidering method endowing Miao embroidery designers with greater freedom of design. The experimental results show that the selection of 102 long stacked stitches in the Aritistic Digitizer embroidery plate making software and the use of JANOME intelligent embroidery machine for reverse embroidery can realize the digital simulation of handmade crepe embroidery technique. Through one-way test and data analysis it is found that there is no correlation between the machine needle and the three-dimensionality of digital simulation crepe embroidery in the filling experiment and contour experiment and there is a negative correlation between the matching method of the face and bottom threads the density ratio of the length of the stitches and the width of the contour line of the stitches and the three-dimensionality of digital simulation crepe embroidery. The digital simulation of handmade Miao embroidery techniques provides new ideas for the protection and inheritance of Miao embroidery enriches the style of digital simulation Miao embroidery products accelerates the production speed of Miao embroidery products and enables the culture of Miao embroidery to be more responsive to the rhythm of the market of fast consumption. The research on the process parameters of digital simulation crepe embroidery and the construction of multiple regression equations have improved the design freedom and flexibility of Miao embroidery. [ABSTRACT FROM AUTHOR]