bluuebunny/crossref_metadata_2025 huggingface dataset:
The Ascetical Way of Life in St Isaac the Syrian’s Writings
Authors:   Aurel Vlaicu University of Arad, Corbu Agapie
Published: December 2023

The present study deals with a theme of spirituality frequently found in the writings of St. Isaac the Syrian, namely the idea of “way of life” (Syr. dubara). Essential to understand the whole of his theology, this theme is treated in a manner little used until recently, but which is now becoming established in current academic research on Isaac, namely by appeal to his Syriac texts. This is achieved practically by pointing out the meanings of the Syriac term dubaraand its Greek translation by politeia. The paper makes important clarifications of Isaac's terminology, and the novelty is that it highlights the connection between the text and the ascetical practices to which it refers. To this end, the study also presents the ideational synonyms of the Syriac term in question, as well as the various theological expressions in which it appears.
Statistical methods of data analysis in obtaining thyme oil-loaded nanoemulsions as potential skin antiseptic
Authors: Miastkowska Małgorzata , Łętocha Anna , Michalczyk Alicja
Published: December 2023

The two aims of this study were to obtain stable thyme-oil loaded nanoemulsions using the statistical design of experiment method (DOE) and to confirm their antimicrobial and disinfecting properties. Thyme oil was used as the oil phase, ECO Tween ® 80 acted as an emulsifier, and the rest of the formulation was deionized water. Ultrasonication was chosen as the method of obtaining the nanoemulsions. It was checked whether the input parameters (oil concentration, emulsifier concentration, amplitude, and sonication time) had a significant impact on the output parameters (nanoemulsion particle size, polydispersity index, viscosity, and stability over time). For the formulations selected on the basis of the statistical data analysis, the values of minimum inhibitory concentrations (MIC) and minimum biocidal concentrations (MBC/MFC) were determined in relation to 10 bacterial strains and 10 strains fungi (filamentous fungi, yeast-like fungi). The results obtained from the statistical analysis showed that the optimal concentration of the thyme oil in nanoemulsion should amount up to 2%. Biological studies proved that the obtained formulation had stronger antibacterial and antifungal activity compared to pure oil. Moreover, it was shown that the nanoemulsion caused the required for disinfectants reduction of > 5 log of bacterial strains ( S. aureus, P. aeruginosa) and > 4 log of fungal strains ( C. albicans) after 30 minutes.
A study of the thermal regeneration of loaded hydrophobic and hydrophilic zeolites after adsorption in the liquid phase
Authors: Tabero Piotr , Garbuś Elżbieta
Published: December 2023

The paper aims to show a search method for optimal conditions of 3A, 13X, ZSM-5 zeolite thermal regeneration after adsorption from a liquid water-isopropanol mixture. Comparative TGA-DTG results for heating of wet zeolites with different structure and hydrophobicity showed characteristic effects corresponding to the optimal temperature of zeolite regeneration. The consequences of overheating and collapse of the 3A, 13X, ZSM-5 zeolite structure at temperatures of 850, 900, 1000 °C, respectively, were recorded with XRD method. Moreover, XRD and NIR/DRS tests of loaded and regenerated zeolite samples showed interaction of adsorbate and co-adsorbed water with adsorbent and revealed influence of adsorption and regeneration processes on the adsorbent structure. Investigations of the regeneration of the zeolite 3A bed after adsorption of water from the isopropanol solution in the temperature swing adsorption (TSA) process were carried out by heating the bed with inert gas at 250 °C and different purge gas streams in the range of 1.68–2.40 kg/h. Four stages of wet bed regeneration were distinguished, which corresponded to the effect observed during TGA-DTG tests. For each stage, the specific demand for purge gas and energy was determined depending on the gas stream and its minimum value of 2.16 kg/h was indicated.
Investigations of mass transfer in simulated biomedical systems
Authors: Adach-Maciejewska Anna , Kopka Klaudia
Published: December 2023

The work motivation was to investigate in vitro system simulating drug release from Drug Eluting Stent (DES). The experiments were conducted in a custom designed unit simulating drug release from polymer covering DES in a simplified way. The active substance diffuses from a thin, internal annular layer of hydrogel (imitating “stent”) to the outer cylindrical layer of hydrogel (“artery wall”) and is at once drifted away by coaxially flowing solution (“blood”). The conducted research proved functionality of the experimental unit. The rate of mass transfer depends considerably on the mass driving force and on the affinity of substance-hydrogel. The volumetric flow rate and liquid viscosity did not affect the process significantly. The effective diffusion coefficient was calculated as a process parameter and then used in the other variants. Diffusion in hydrogel is the mechanism limiting the mass transfer in the examined system. For the first attempt, the diffusive model used in literature was employed. The provided calculations are consistent with experimental data and therefore show that despite its simplifications the model allows to estimate the amount of released substance. In conclusion, the relative substance mass, changing over time, was estimated in the respective parts of the unit. The prospect of determining the relative mass of the substance appearing in the subsequent parts of the system over time provides the opportunity to adjust the respective process parameters, which will facilitate control over the rate of mass release.
DEFOCUSED AND RADIAL SHOCK WAVE THERAPY, MESOTHERAPY, AND KINESIO TAPING EFFECTS IN PATIENTS WITH LIPEDEMA: A PILOT STUDY
Authors: Michelini S. , Musa F. , Vetrano M. , Santoboni F. , Nusca S.M. , Latini E. , Trischitta D. , Michelini S. , Iosa M. , Vulpiani M.C.
Published: December 2023

The aim of this pilot study was to investigate the effects of defocused and radial shock wave therapy, mesotherapy, and kinesio taping on pain, circumferences of lower limbs, echographic/ elastosonographic pattern of subcutaneous adipose tissue (SAT), and quality of life in patients with lipedema. Fifteen women affected by lower limb lipedema in stage II were treated with shock wave therapy, mesotherapy, and kinesio taping on thighs and legs (eight sessions, twice a week). The primary outcome was pain, as assessed by Numeric Rating Scale (NRS). Secondary outcomes included the limb circumferences measurements, the SF-12 Health Survey for quality of life, the International Classification of Functioning (ICF) for disability, and echographic/ elastosonographic changes of SAT. Significant reductions of pain and circumference measurements were seen in patients at each follow up. This was associated with significant reduction of thickness, echographic pattern improvement, and increased elasticity of SAT, with consequent positive impact on the quality of life and disability reported by the patients. The results demonstrate improved clinical and functional ultrasound findings in patients affected by lipedema in the early stages of lower limbs, and this combination therapy needs to be investigated in larger
Canny Edge Detector Algorithm Optimization Using 2D Spatial Separable Convolution
Authors: Králik Martin , Ladányi Libor
Published: December 2023

In the case of real-time image processing, it is necessary to determine the computational complexity of the mathematical operations used. Reduction of computational complexity of 2D discrete convolution can be achieved by using a separable convolution. In this article, we focus on the application of a canny edge detector for different types of images. The main goal was to speed up the process of applying the kernel matrix to a given image using a separable convolution. By applying a separable convolution, we compared the duration of the Gaussian filter application, edges detection and the Hysteresis threshold level. Applying a separable convolution should speed up the duration of the 2D Gaussian filter as well as the edge detection. The main variable that interested us was time, but an important factor in the application of the filter and edge detection is the number of operating cycles. The use of a separable convolution should significantly reduce the number of computational cycles and reduces the duration of filter application and detection.
A Study on the Effectiveness of Agile Methodology Using a Dataset
Authors: Alzeyani Emira M. M. , Szabó Csaba
Published: December 2023

There are many methodologies that we can follow in software projects, including the traditional methods, at the forefront of which it was effective and with a good result, but with the constant increase in requirements resulting from the continuous and rapid development in science and technology and digital transformation; Traditional, highly structured project management methods lack flexibility, awareness of change, adaptability to it, and independence; It led to developing this methodology into an Agile methodology in the form it is currently known, which contributed to developing the team’s skills and knowledge. Our focus in this paper is a study on a data set affiliated with the Agile methodology by measuring effort using one of the well-known methods, monitoring the actual time and comparing it with the expected time to deliver a specific work, and also identifying the difficulties they face while working in different environments to build a comprehensive picture of the benefits and advantages of the Agile methodology.
Influence of influent C/N on sludge granulation process and nutrient removal pattern
Authors: Ge Yuan , Wu Maoni , Zhang Cuihong , Wang Dengwu , Huo Xiaoping
Published: December 2023

In this paper, firstly, the relevant parameters of influent C/N quantification were selected, and then, on the basis of the relevant parameters, the apparent shear force formula was deduced, and the apparent shear force was used to reflect the hydraulic condition of the reactor. Next, the experimental device, operation method, influent water quality and analysis method were determined, and the influences of influent C/N on the sludge granulation process were derived from the influences of group I C/N ratio on anaerobic granular sludge and group II C/N ratio on anaerobic granular sludge. Then, the return sludge from the Guangzhou sewage treatment plant in Guangdong Province was selected as the experimental seed sludge, and the methanol concentration of 0.13g/L (COD=200mg/L) was used as the experimental water quality, and the influences of influent C/N on nutrient N2O denitrification were illustrated by the experimental analyses. The results showed that the NO2
− − N accumulation rate was maintained above 81% in all five water intake modes, and when the ratio of water intake (1:1) and (2:1), a higher concentration of NO2
− − N was accumulated in the first nitrification stage of 26.5 mg/L and 24.9 mg/L, respectively, which could give full play to the advantages of nitrifying bacteria to achieve nitrification rapidly and also reduce the production of nutrient salt N2O. This study combines macro-experiment and micro-analysis to provide a theoretical basis for granular sludge technology.
An Exploration of the Impact of Social Integration on the Re-employment Patterns of the Mobile Elderly Population in the Context of Informatization
Authors: Xiang Liping
Published: December 2023

Re-employment of the mobile elderly population is an important factor in promoting the development of social integration, and the study of the interaction between the two can further realize re-employment. This paper evaluates the level of social integration from four dimensions: economic integration, behavioral integration, cultural integration, and psychological integration, and explains different integration indicators. The indicator factors and their weights of the social integration measurement model were identified through the use of factor analysis and principal component analysis. At the same time, categorical variables were used to set up the re-employment mode of the migrant elderly population, which led to the formulation of three research hypotheses on the impact of social integration. In the description of the overall characteristics of the re-employment of the mobile elderly population, with the help of the multiple covariance test to confirm the accuracy of the estimation of the impact effect, binary logistic regression is used to verify the relationship between the impact of social integration on the re-employment of the mobile elderly population. The test results show that the minimum value of tolerance is 0.804, and the maximum value is 0.954. The maximum value of VIF is 1.199, and the minimum value is 1.009. Model 1 shows that social integration has a negative effect on re-employment of the mobile elderly population, and the value of EXP(B) is 0.541. This study verifies the relationship of the effect of social integration on re-employment and guides the re-employment of the mobile elderly population.
Comprehensive Evaluation of Enterprise Financial Management Based on Full-Cost Accounting Economic Management Model
Authors: Du Liyan
Published: December 2023

The full-cost accounting economic management model plays a key role in the comprehensive evaluation of enterprise financial management. This paper first discusses the application of the full-cost accounting economic management mode, including its importance and application mode. Secondly, it constructs a comprehensive financial management evaluation index system to analyze the effectiveness of the full-cost accounting economic management mode and uses the entropy value method to calculate the weight of the indexes as well as the efficacy coefficient method to determine the financial risk level. Finally, examples are used to verify the financial management risk of the enterprise in the full-cost accounting economic management mode. The results show that the entropy value method combined with the efficacy coefficient to solve the investment risk under the accounts receivable turnover rate entropy value of 0.9523, the financing risk of the weight value of 0.2465. Through full-cost accounting economic management model can be evaluated for the level of risk of enterprise financial management so that the enterprise understands its financial development and then makes more correct business decisions.
The application of immersive multimedia information technology in the teaching of vocal music
Authors: Guo Shanyu
Published: December 2023

In this paper, immersive multimedia information technology is utilized to perform frame-splitting and window-adding operations on vocal signals in college vocal music teaching to facilitate the extraction of vocal signal features. According to the Principal Component Analysis feature space projection and Relief feature selection, the vocal emotion regression model combining multimedia information technology is constructed, and the structure of the vocal emotion regression model and its teaching application are explored in the vocal emotion regression model. Determine the research object and method, according to the research program on the integration of multimedia information technology of vocal music teaching research design and implementation, and the use of statistical analysis of multimedia information technology-based vocal music teaching empirical analysis. The results show that the subjects had the best emotional experience with an emotional immersion degree of 5.651 when the music of the calm category and the visual music motion picture of the calm category constituted the visual music and the vocal music immersion based on the vocal music emotional regression model of “combining multimedia information technology” was significantly enhanced when the emotional type of the music and the emotional type of the dynamic picture of the visual music was the same. This study carries out college vocal music teaching based on students’ emotional characteristics, which is of great significance to improve the quality of college vocal music teaching and students’ musical literacy.
Research on the integration management innovation path of tea culture and rural tourism industry under the background of information technology
Authors: Gou Qian
Published: December 2023

This paper analyzes the development of the integration of tea culture and the rural tourism industry by using the coupling coordination model with the goal of promoting rural economic development. The entropy value method is used to calculate the evaluation index of the development level between tea culture and rural tourism industries. Combined with the geometric coefficient of deviation method to calculate the coupling coordination between tea culture and the rural tourism industry. The development index of tea culture and rural tourism industry is built using the index construction principle. By exploring the positive indicators of both tea culture and the rural tourism industry, the problems in the integration of tea culture and the rural tourism industry are analyzed, and the corresponding solution paths are proposed. The results show that the comprehensive development level of tea culture has been on a growing trend from 2018 to 2022.2021 the coupled coordination type of tea culture and rural tourism has reached the state of synchronous development, with a coupled coordination degree of 0.715, which is in the intermediate level of coordination. The development of the rural tourism industry has risen from 0.516 to 0.784. This study improves a new perspective on the integration of tea culture and the rural tourism industry and promotes the integration of the two.
Visualization analysis of architectural interior design combined with virtual reality technology under new process conditions
Authors: Li Xiang
Published: December 2023

In this paper, a 3D model based on semantic annotation is constructed with the goal of improving the efficiency of building interior design. By analyzing the basic methods of semantic annotation for building interiors, the method of positioning and map construction is selected to obtain the indoor point cloud data. The distance between 3D spatial lines is calculated using the frame line extraction algorithm, and the target area of the frame line candidate is divided according to the distance. According to the principle of detecting raster circles using the Hough transform, an interior design structure recognition method is proposed for recognizing windows, doors, and walls in building interiors. The results show that the modeling time of the semantically annotated 3D model is 10 seconds faster than the other models on the wall; 9 seconds are saved on the door modeling, and 7 seconds are saved on the window modeling. The visualization effect of semantically annotated 3D models is mostly concentrated in (0.5-1), and a large number of data points are distributed in (0.6-0.9), which indicates that the visualization effect of semantically annotated 3D models is better. The semantically annotated 3D model proposed in this paper can improve the visualization of architectural interior design, which can improve the efficiency of designers to a certain extent.
Standardized Construction Indicator Assessment and Practice of Digital Government for Chaos Computing Theory
Authors: Liu Jinyu
Published: December 2023

In this paper, the maximum Lyapunov exponent and chaotic phase space reconstruction method of the chaotic computing model are studied, the embedding dimension is obtained by using the saturated correlation dimension method, and the fractal scale of the chaotic model is determined by the DFA method. Based on the relevant policy documents, an index system for assessing the level of government digital construction is constructed, and the weights of each index are calculated. The constructed index system is used to analyze the digital construction level and digital service quality of the Chinese government, and the evolutionary characteristics of the standardized construction of China’s digital government are analyzed based on the chaotic computing model. The results show that the total score of each provincial government in the sample reaches above 90, only one provincial government has a total score below 80, and the average score of the total score reaches 85.72, which indicates that most of the provincial governments in China have a good level of digital construction. The purpose of this study is to promote and optimize the digital construction of provincial governments and improve their digital construction level, which is of greater practical significance.
Research on the Problems and Countermeasures of Government-Enterprise Interaction Based on the Background of Informationization Era
Authors: Peng Caodie , Wen Zhisen , Xu Zhiwu
Published: December 2023

Government-enterprise interaction is related to the synergistic development of the government and enterprises, and it is also the wind vane of regional economic development. This paper starts with the problems of the government-enterprise interaction mechanism, analyzes the causes of these problems, and constructs a model for government-enterprise interaction based on them. In order to verify the effectiveness of the government-enterprise interaction model, an evaluation index system is constructed to evaluate it, and the entropy weight method and TOPSIS method are utilized to calculate the weights and rank the comprehensive score. Based on the constructed government-enterprise interaction model, this paper utilizes examples to conduct government-enterprise interaction correlation analysis. The results show that the highest mean value of the first-level index in 2010-2020 after solving by entropy weighting method is 0.2829, and the weight of the government purchasing service in 2017-2020 is 0.2059. Among the 10 sample enterprises, the relative posting progress is the highest at 0.5662, and the highest composite score for the level of government-enterprise interaction is 0.52171 points. Under the background of informationization, it is necessary to further strengthen the government’s “delegating-regulation-service” reform, fully do a good job of macro-control in order to guide enterprises to better carry out government-enterprise interaction, innovate the mode of government-enterprise interaction, and fundamentally improve the interactive behavior of the government and enterprises.
Exploring English Long Sentence Translation Methods by Applying Natural Language Processing Techniques
Authors: Shang Fengmei , Li You
Published: December 2023

This paper analyzes the “encoder-decoder” framework in neural machine translation and clarifies that the task of natural language processing is sequence learning. Secondly, recurrent neural networks are used to combine the historical hidden layer output information with the current input information, which is specialized in processing sequence data to achieve good translation results. Applying the attention mechanism to the field of natural language processing, a Transformer model based on the full attention mechanism is constructed in order to achieve the purpose of translating the source language while also performing alignment operations on the target language. The evaluation and analysis of the Transformer model based on the full-attention mechanism concludes that the Transformer model has 0.0152 Pearson correlation coefficients higher than the Bilingual Expert model, which is also 2.92% higher than the Bilingual Expert model, with the participation of f feature in both models. This further proves the Transformer model’s ability to correctly and effectively translate English sentences. At the same time, it also shows that the application of natural language processing technology can improve the efficiency of English long-sentence translation and comprehensively improve the quality of long-sentence translation.
Integration of Marxist ideology education in the education of ideologic and politic system of colleges and universities
Authors: Jiang Lan
Published: December 2023

Based on the technology of big data, this paper utilizes the IKH algorithm to study the optimal selection of education of ideologic and politic strategies, and constructs the education of ideologic and politic strategy selection model according to the IKH-PP algorithm according to the positive and negative incentive strategies of education of ideologic and politic and the improved krill swarm algorithm. Starting from the ideological and political teaching objectives, the evaluation system is determined, and the objective function of the education of ideologic and politic strategy selection model of the IKH-PP algorithm is derived by using projection-seeking analysis. Combining the research dimensions and research hypotheses, we complete the design of the ideological and political research in institution of higher education that integrates Marxist ideology, and use statistical analysis to conduct empirical analysis of education of ideologic and politic in institution of higher education. The results depict that on the model, compared with KH-PP, the precision of education of ideologic and politic strategy selection is improved by 3.96% and 4.1%, and IKH-PP can effectively improve the precision of education of ideologic and politic strategy selection. On the analysis of teaching examples, the Sig. Values of all 11 independent variables are less than 0.01, indicating that all 11 common factors show a significant positive correlation with the ideologic and behavioral choices of making ideologic and politic of identifying with the integration of Marxism in the value conflict. This study makes the theory of education of ideologic and politic in institution of higher education richer and better and is of great significance to the development of ideological and political and Marxist ideology integration teaching.
Knowledge Graph-based Interactive Sharing Platform for Teaching English Majors in Colleges and Universities
Authors: Zhang Juan
Published: December 2023

In this paper, we found that the traditional FCM clustering algorithm is over-sensitive to noise or outliers, and AP clustering is added on the basis of the FCM algorithm to improve and optimize the FCM algorithm. The improved and optimized algorithm is used to derive high-frequency words for teaching English majors, and the hot knowledge map of English teaching is studied according to the high-frequency words. Construct the knowledge map framework and utilize the knowledge map framework to build the U+ English teaching interactive sharing platform. Adopt a top-down approach to construct the knowledge graph, and after defining entity relationships and attributes, propose the learning path recommendation method of the U+ platform based on the knowledge graph. Comparative experiments are used to analyze the teaching effect of the U+ platform and students’ English learning engagement. After 8 weeks of interactive and shared learning on the U+ platform, the students in the experimental class improved their English single choice, perfect fill-in-the-blank, and reading comprehension scores by 2, 4, and 3 points, respectively, and the U+ platform had obvious help in improving the students’ English scores, and the platform was effective in teaching. The mean value of the positive dimension of learning engagement of the students in the experimental class is 4.1634, with an interval range of [4,4.3], and they are positively engaged in English learning, and the mean value of the negative dimension is 1.8341, with a range of [1.6,2.4], and there are fewer negative performances, and the U+ platform has a positive impact on the student’s English learning engagement.
Design of self-cleaning low-temperature plasma fume cleaning device based on computational fluid dynamics
Authors: Liu Tengda
Published: December 2023

With the rapid development of the catering industry, catering fume pollution has become one of the important sources of urban air pollution. How to realize the purification of catering fumes is a huge problem related to public life health and safety. This paper first constructs the structure of self-cleaning low-temperature plasma soot purification and provides the equipment, materials, and process required for soot purification experiments. Secondly, CFD simulation of the flue of the oil smoke purification device is introduced into Computational Fluid Dynamics, and the relevant physical parameters of the oil smoke flow are obtained by solving the equations of mass conservation, momentum conservation and energy conservation. The self-cleaning low-temperature plasma oil smoke purification device was also analyzed by numerical simulation using Fluent software, and the method for detecting VOCs in restaurant oil smoke was given. Lastly, the oil smoke purification device constructed in this paper was tested for its impact on oil smoke. The results show that for every 100W·m−2 increase in the intensity of oil smoke, the temperature error will increase by about 0.01℃ accordingly, and when the intensity of oil smoke reaches 500W·m−2, the temperature error of the oil smoke purification device is 0.074℃. The highest imported concentration of all kinds of VOCs in the barbecue smoke produced by the experiment reached 3762.53 μg / m
3, and the average treatment efficiency of 98.69% was achieved under the actual air volume of about 800m3/h. This shows that the use of computational fluid dynamics can realize the simulation analysis of a self-cleaning low-temperature plasma fume purification device, and the fume purification device has a strong fume purification ability.
Research on the Innovative Application of Particle Swarm Algorithm in the Improvement of Management Efficiency of Digital Enterprises
Authors: Yin Xiong
Published: December 2023

This paper constructs a model of the particle swarm algorithm, compares and analyzes the performance of the particle swarm algorithm under the two parameters of w and k in detail, and solves the constrained optimization problem by the particle swarm algorithm. On the basis of the local optimal value to find the global optimal value, the particle swarm algorithm is improved with reference to the particle’s motion state and behavior. Based on the particle swarm algorithm, a digital enterprise management system is constructed to plan enterprise management operations and optimize efficiency. Finally, we compare the performance of different algorithms in enterprise management risk prediction, analyze the correlation between the management system and enterprise management efficiency, and compare the management efficiency of different enterprises to explore the effect of the particle swarm algorithm in digital enterprise management. The results show that the predictive classification effect of the particle swarm algorithm model reaches more than 95% correct rate, and the management system of the particle swarm algorithm presents significance at 1% and 5% significance level for enterprise management efficiency, respectively.
The Application of Multimodal Discourse Analysis in Urban Intercultural Communication
Authors: Chen Baiying
Published: December 2023

This paper firstly analyzes the basic composition of intercultural communication ability, discusses the specific function of cultural promotion of urban tourism, and gives the promotion effect of intercultural communication on urban tourism. Secondly, the connotation of multimodal discourse analysis is given, and the technical analysis of text, audio, and visual features is carried out for the analysis of urban tourism discourse. Then, the TF-IDF algorithm is used to realize the feature extraction of tourism culture text, the MFCC algorithm is used to extract the audio features of tourism culture, and the modal classification network is used to realize the recognition of the visual features of urban tourism culture video. Finally, to verify the effectiveness of the application of multimodal discourse analysis in urban cross-cultural communication, three aspects were tested and analyzed respectively. The results show that the F1 value of the TF-IDF algorithm is 0.912, which is 17.07% higher than that of the CTF-TF-IDF algorithm. When the amount of audio recognition is 5GB, the recognition time of the MFCC audio recognition method is 10.4 s. When the weight value of the visual feature extraction network is set to 1.0, the highest visual feature extraction error rate is only 3.96%. Using multimodal discourse analysis to carry out urban tourism discourse analysis can realize more comprehensive urban tourism feature extraction, help tourists strengthen their tourism perception, and then promote the enhancement of urban cross-cultural communication ability.
Innovative and entrepreneurial education reform strategy based on algorithmic recommendation of social media information sharing characteristics in colleges and universities
Authors: Dai Wei
Published: December 2023

In this paper, the student documents are processed by experimental strategy, with the topic of college innovation and entrepreneurship resources recommendation, word diffusion and improved LDA topic model distribution training, set the training topic model and the number of topic top-words, and compare the high-frequency vocabulary and the probability distribution error of the 80% user coverage case and 90% user coverage case. Explore the stability of social media information pushing, the performance comparison results of both combine LDA based on user comment information text and LDA modeling directly using user comment information text as a reference. Select the experimental objects of innovation and entrepreneurship resources in colleges and universities, obtain the recommendation information of innovation and entrepreneurship resources in social media, and analyze the accuracy and satisfaction of algorithmic recommendation. Analyze the sharing characteristics of algorithmic recommendation information on social media and propose educational countermeasures against its adverse effects. According to the analysis, the improved LDA topic model results in a 15% and 85% increase in the number of same words in each topic when top_words is 10. When top_words is 20, the proportion of the same words in each theme is 15% and 78%, respectively. This indicates that the innovation and entrepreneurship education topic features are stable, and the accuracy and satisfaction of the algorithmic recommendation have improved.
Rural tourism incorporating artificial intelligence technology to help modernize rural revitalization
Authors: Gan Lu
Published: December 2023

In the process of modernization and development, intelligent technology empowers rural tourism, which in turn enables the effective implementation of the rural revitalization strategy. In this paper, a rural tourism recommendation model combined with artificial intelligence technology is constructed, which effectively improves the accuracy and personalization level of tourist attraction recommendation by mining and analyzing tourism data and extracting tourism characteristic factors. Secondly, the random forest classification algorithm is used to establish a random forest preference attraction prediction model, and several recommendation algorithms are combined to design a personalized rural tourism recommendation model to improve the accuracy of tourists’ tourism recommendations. Finally, the countryside around a city is being investigated to explore the modern development of rural tourism and help revitalize rural areas. The results show that the number of people received by rural tourism in City A and the number of tourists received by the province in 2022 is 972 million and 1,424 million more than that of 2014, and the total income from rural tourism in City A and the total income from tourism in the province in 2022 is 724.8 billion and 1,202.02 billion yuan more than that of 2014, and it can be seen that the high level of tourism income maintains a positive correlation with the number of tourists received. It shows that rural tourism improves the overall economic level of the countryside, accelerates the process of social progress in rural areas, and strongly contributes to the modernization and development of rural revitalization.
Research on the Teaching Reform of Physical Education Combined with Civic and Political Education in the New Era under the Background of Big Data
Authors: Chen Zeyong
Published: December 2023

This paper researches the teaching reform of the integration of sports and civic politics in the new era, and the addition of sports elements in civic politics education can achieve the mutual integration of the two. A personalized Civic and Political teaching model is constructed by combining the attention mechanism based on a recurrent neural network. Based on the personalized teaching model, a model of students’ academic ability in Civics and Politics is established. The EERNN model predicts the next Civics and Politics test scores and assists teachers in proactively intervening. The path of sports Civics integration is proposed from three aspects: increasing the implementation of sports Civics education, improving the awareness of Civics education of physical education teachers, and supervising the integration of students’ sports Civics thinking. Set up an experiment that compares the cognition of students in the experimental and control classes on health indicators and Civics elements. Analyze the student’s learning behaviors and the results after using the personalized recommendation Civics teaching model. The results of the experiment show that the students’ Civics elements of the seven dimensions improved after the experiment, respectively, by 3.05, 2.17, 3.79, 2.16, 2.67, 3.24, and 2.77. The Civics scores of the students in the experimental class increased from 113.89 to 123.48. The personalized learning model effectively enhanced the effectiveness of students’ civics learning.
Stability analysis of loess slope combined with limit equilibrium method under different rainfall intensities
Authors: Liu Yongde , Yang Yongdong , Hu Aiping
Published: December 2023

Due to the special characteristics of loess soil, once the stability of the slope is not detected in place, it is easy to cause serious loss of life and property, so this paper is based on the limit equilibrium method to analyze the stability of loess slopes under different rainfall intensities. The simplified Bishop’s method, the proposed static method, and the strength reduction method under the limit equilibrium method are studied to provide a reference basis for subsequent research. Explore the law of rainwater infiltration in loess under different rainfall conditions, construct a water-wetting model, investigate the seepage law of loess slope, and detect the degree of wetting and seepage of loess soil under different rainfall conditions. Combining the principle of effective stress of saturated soil, analyze the mechanical characteristics of the unsaturated soil on the loess slope. The stability of loess slopes under natural conditions and seismic conditions is analyzed, and the pore water pressure and shear strength of the sliding surface of loess slopes are analyzed under different rainfall conditions. The experimental data show that the slope safety coefficient of the simplified Bishop-limit equilibrium method under natural conditions is 1.118, and the difference with other algorithms is about 2.9%, which shows that the safety coefficient of the simplified Bishop-limit equilibrium method is more accurate to detect when combined with the slope stability model. When the rainfall intensity is 15, 30, 45, 60, and 75mm/h, the slope safety factor is 1.18, 1.14, 1.125, 1.12, and 0.98, respectively, the rainfall intensity is negatively correlated with the slope safety factor.
Mechanisms and Paths for Constructing the Organic Interface between Digital Economy and Chinese-Style Modernization Based on Cognitive Mapping
Authors: Zhao Jiaqi
Published: December 2023

In the process of China’s modernization, the organic articulation of the digital economy provides key support. This paper explores the articulation network paradigm of both and proposes a method for building cognitive mapping on a complex network. For the digital modernization industry, the vector representation encoding is completed by using the multi-granularity representation of this paper, and an N-gram encoder realizes the industry entity recognition. A basic idea of relationship template annotation is developed for recognizing entities, and the relationship extraction framework includes three parts: representation learning of templates, quality assessment of templates, and relationship classification model based on template quality. The regression results of the three major economic regions, namely, the eastern region, the central region and the western region, show that the level of digital economy development in the region has a more significant positive effect on the structure of manufacturing output value. The largest regression coefficient is 3.3044 for the eastern region, while the central, western and northeastern regions are 1.85567, 2.45457, and -0.13798, respectively. Through the study of cognitive mapping, the study provides an effective paradigm for Chinese-style modernization.
A study on the application of artificial intelligence in the design of intelligent medical robots
Authors: Miao Ke , Chen Chenglei , Zheng Xianqing
Published: December 2023

With the development of artificial intelligence and robotics technology, the combination of artificial intelligence and medical device research and development has been promoted, which is an important product of the development of artificial intelligence. In this paper, the general structure of the intelligent medical robot is designed by combining artificial intelligence technology and robotics-related technology. Then, the binocular vision function of the robot was realized by visually acquiring the image of the target object, 3D reconstruction of the target object, and combining the SIFT image recognition algorithm and target tracking algorithm. Then, a new speech recognition algorithm was constructed to realize the human-robot interaction function with the medical robot based on the deep learning Transforme network after the construction of the human acoustic model. Finally, the designed intelligent medical robot was tested, and its overall performance was evaluated. The results show that the recognition errors of the intelligent medical robot on the features of the items are all within 0.05, the recognition errors on the features of the human body are within 0.2, and the speed of the target tracking is between 6km/h and 16km/h. The average recognition accuracy of the medical robot for voice commands is about 0.9, the recognition time is about 0.7s, the normal working rate of each function is more than 0.99, and the test speed is within 2s.
A Systematic Integration Study of Traditional Hand-Weaving Techniques in Lingnan Region in the Context of Deep Learning
Authors: Li Jiali , He Shuai
Published: December 2023

In this paper, firstly, on the basis of the traditional hand weaving technique in Lingnan area, modern digital technology is used to integrate it systematically, so as to construct the three-dimensional weaving technique. Secondly, the structural properties of the three-dimensional woven fabrics are investigated through the two-step and four-step weaving methods in terms of the movement trajectories of the three-dimensional woven fabrics within the cross-section. Finally, the basic properties of bamboo weaving materials were analyzed in order to facilitate the force simulation analysis of the obtained morphological model samples of parametric Lingnan region bamboo weaving craft products using the structural simulation analysis software SIM-SOLID. The results show that in the structural force study of bamboo weaving craft products, the equivalent viscous damping coefficient is calculated by taking the first hysteresis loop of each stage of the loading cycle, and its maximum deformation is 0.428 mm, which is 0.003 mm smaller than that of the model with unfixed joints, which indicates that the performance of the Lingnan region weaving technique is optimized obviously by adopting the three-dimensional weaving technique. This paper provides theoretical references for the digital integration of traditional hand-woven techniques and the enhancement of structural properties of woven materials in the Lingnan region.
Analysis of the path to enhance the quality development of rural tourism with the help of rural revitalization strategy in the context of the Internet
Authors: Liu Shaolin
Published: December 2023

This paper first determines the research method of rural tourism and the selection of research objects and carries out the corresponding pre-processing operation for the data. Secondly, the spatial distribution characteristics of key villages of rural tourism are analyzed by using the nearest neighbor index, standard deviation ellipse, geographic concentration index and geographic detector so as to understand the development of rural tourism in the five regions of east, west, south, north and central. The spatial clustering structure of key villages in rural tourism is calculated again using the fractal model to explore grid aggregation and correlation of high-quality development in rural tourism. From the spatial distribution characteristics, the nearest neighbor index of the southern region is 0.838, showing an aggregation-random distribution pattern, and the standard deviation ellipse of the southern region is 51.67°. From the spatial clustering structure, the aggregation dimension of the southern region is 0.485, and the correlation dimension of the four regions of east, west, south, north and south is relatively close to that of highway accessibility, for example. Thus, rural tourism in the context of the Internet needs to further strengthen infrastructure construction, enhance the means of training high-quality personnel, build diversified marketing channels, and realize the rural revitalization strategy to boost rural tourism.
Three-dimensional visualization and analysis of marketing data based on GIS information technology
Authors: Yu Zhenhai
Published: December 2023

This paper explores the GIS spatial analysis technique, which models the data as a whole and performs three-dimensional coordinate transformations, maps points in one coordinate system to another, and then establishes slice maps according to the slice resolution and visualizes and analyzes the data. This paper analyzes the spatial evolution characteristics of product A’s marketing dominance, time domain and geographical concern based on the GIS analysis model and compares the traditional method with the GIS spatial analysis method to analyze the market influence of using GIS marketing in order to highlight the advantages of the GIS analysis method in product marketing and data analysis. The results show that the annual contribution rates of the differences in product A attention between regions from 2013 to 2018 are 36.46%, 40.85%, 46.68%, 48.89%, 43.62%, and 44.21%, with an average value of 45%. The influence analysis efficiency of the GIS analysis method is more than 4.4, whereas that of the original method basically maintains the influence analysis efficiency between 3.8 and 4.0, indicating that the influence analysis efficiency of the GIS analysis method is above 4.4, while the influence analysis efficiency of the original method basically maintains the influence analysis efficiency between 3.8 and 4.0. 4.0, indicating that GIS technology has the absolute advantage for marketing data visualization analysis.