bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antimicrobial Activity of Grape Pomace Extracts Against Different Species of Microorganisms
Authors: Sabo Jozef , Čmiková Natália , Kačániová Miroslava 
Published: October 2024

Abstract
The food sector has become interested in grape pomace for its numerous health benefits and high concentration of bioactive chemicals. In this study, the antibacterial properties of grape pomace obtained from by-products of white and blue grapes were investigated. The aim of our study was antimicrobial activity of grape pomace extracts from blue varieties (Alibernet, Dornfelder, Cabernet Sauvignon), and white varieties (Blaufränkisch, Sauvignon Blanc, Welschriesling, Weisser Riesling, Irsai Oliver, Pinot Blanc, Palava, Müller-Thurgau, Grűner Veltliner, and Feteasca Regala). The antimicrobial activity of grape pomace extracts was evaluated against nine microorganisms Gram-positive, Gram-negative bacteria and yeasts with disc diffusion method. The best antimicrobial activity of blue grape pomace extract was found against Bacillus subtilis. White varieties Sauvignon Blanc, Welschriesling, Weisser Riesling, Irsai Oliver, Pinot Blanc pomace extracts were the most effective ones against B. subtilis and Müller-Thurgau grape pomace extract was the most effective one against C. koseri and Grűner Veltliner and Feteasca Regala against B. subtilis. The most sensitive bacteria were B. subtilis.
Research of Dynamic Processes in a Layer During Collision With an Impactor
Authors: Pyr’yev Yuriy , Pawlikowski Marek , Drobnicki Rafał , Penkul Andrzej 
Published: October 2024

Abstract
The article concerns the modeling of the transverse impact of an impactor (test sample) on the surface of an infinite elastic layer. The Laplace transform with respect to time and the Hankel transform with respect to the radius for the axisymmetric case were applied. The propagation of elastic waves in the layer and local deformations in the contact zone are taken into account. Impact force, impact time and the coefficient of restitution were examined. The results are compared with the elastic half-space. The calculations carried out showed that for layer thicknesses of more than five impactor diameters, the layer can be considered as a half-space.
Multiphysics Simulation and Concept of an Electromagnetically Control Volumetric Pixel as a Step Towards a Shape Morphing Composite
Authors: Bartkowski Piotr , Pawliszak Łukasz , Chevale Siddhi G. , Lu Jonathan Ruiz , David Brigido J. 
Published: October 2024

Abstract
Constant development of robotics forces scientists and engineers to work on robots that are more visually and rigidly compatible with the environment around us. To make this possible, new flexible structures are necessary that enable programmatic shape change. To meet this need, in this work we present the concept and modelling methodology of a new structure enabling shape change using electromagnetic forces produced in liquid metal conductor and its stiffening using a granular jamming mechanism. This work presents the structure concept, the description of modelling methodology and empirical validation including the magnetitic field, scanned by magnetic field camera, and displacement distribution.
A Computer Science-Based Study of Resource Recycling Strategies in the Process of Continuous Urbanization
Authors: Zhang Yue , Pei Yuyin 
Published: October 2024

Abstract
In the face of limited resources, recycling, as an advanced form of resource waste recovery and treatment, can effectively achieve the comprehensive goals of optimal utilization of resources, environmental protection, and sustainable economic development. A resource waste recycling system is established in this paper that is based on the reverse logistics system in circular logistics and takes into account the requirements of resource recycling. The MILP model of stochastic planning is established by analyzing the objective function and constraints of each parameter in the system and then using the genetic algorithm to solve the optimal scheme of resource recycling planning. Example analysis shows that the planning model proposed in this paper can design a reasonable and effective plan for resource recycling in the city, and the recycling volume of plastic bottles in City Z will reach 6.85 kilotons in 2024 after the implementation of the plan, which can bring high economic benefits to the city. The model presented in this paper takes into account as many factors in resource recycling as possible, which aids in providing an accurate scientific basis for resource recycling management decisions.
Research on the two-way influence of music education and information technology integration on teaching effect and student participation
Authors: Zhang Fan 
Published: October 2024

Abstract
An automatic transcription system can provide a symbolic representation of performance content, and in music education applications, it can assist teachers or students in recording the performance of a piece. This study examines the automatic transcription scenario for both audio and image input. First, a CQT transform algorithm is proposed, incorporating an energy equalization module to extract key features from the musical score and a convolutional neural network to complete the detection of the audio. Secondly, we utilize a graph convolutional neural network to detect visual movements of hands and keys. Finally, we conducted an empirical study to verify the impact of information technology on the effectiveness of music teaching and student engagement. By carrying out experimental simulation tests on data sets 1 and 2, it is found that not only the CQT algorithm can accurately respond to the digital characteristics of the spectrum, but also the system performance after energy equalization processing is better compared to standard CQT, with the F1 value in data set 1 improved to 95.57% and that in data set 2 improved to 95.55%. In addition, the visual transcription system recognized each finger of the right hand with greater accuracy than those of the left hand and detected black keys better than white keys. The percentage of individuals rated excellent grades increased by 15.1% before and after receiving information technology training, while the percentage of individuals rated poor grades decreased by 3.42%. According to the student’s classroom participation questionnaire, the average score for each dimension was above 3.
Research on power data analysis and its mining technology in smart grid
Authors: Chang Yongjuan , Jiang Dan , Wu Junying , Peng Jiao , Xu Xing 
Published: October 2024

Abstract
The application of smart grids and other systems generates a large amount of data, which is of great value to the research in electric power. This paper analyzes and mines the electric power data in a smart grid through data mining technology to provide technical and data support for analyzing users’ electricity consumption behavior, grid load prediction, and power dispatch optimization. The user electricity feature selection algorithm is built using the mRMR criterion, and it is combined with the improved fuzzy C-mean algorithm to categorize and analyze the user’s electricity consumption behavior. The LSTM algorithm is used in this paper to forecast power load in the smart grid due to the ability of long and short-term memory networks to handle long-term dependencies. The objectives for optimizing the power system scheduling, such as minimizing pollution emissions, are selected, and the optimal solution is calculated using a genetic algorithm. The feature selection algorithm evaluates the user’s electricity consumption characteristics, combines the clustering algorithm to compare the internal metrics of the two feature selections, and classifies the user’s electricity consumption behavior into six categories according to the electricity consumption characteristics. The accuracy of the LSTM algorithm’s prediction of the grid load reaches 74.19% on the validation set, and the mean square error is 0.881. In the final optimal solution obtained for power dispatch optimization, the pollution emission is only 8.93 kgCO2/H, and customer satisfaction can reach 74.89%.
A study on the optimization of track and field training strategies under the integration of sports science and information technology
Authors: Huang Meiling , Mo Xiaomin 
Published: October 2024

Abstract
With the development of sports science and information technology, how to use mining technology to analyze the correlation between various track and field training programs plays an important role in the improvement of track and field training. A decision support system for track and field training is constructed using the Apriori algorithm and decision tree ID3 algorithm. By mining and analyzing different sports data of track and field athletes, the system blends scientific training theory and advanced training methods to create a set of reasonable track and field training programs for athletes. Through empirical research, after the optimization of the track and field training decision support system, 72.2% of the athletes whose physical fitness test 30-meter run scores were between 80 and 100 had bar pull-up scores between 0 and 55. The average performance of students’ 3000-meter run improved by 81.35s.
Metaverse in Academia: Redefining Higher Education’s Future
Authors: Cheng Li , Chong Kim Mee 
Published: October 2024

Abstract
The rise and development of meta-universe technology provide innovative research perspectives for higher education, as well as more opportunities and challenges for the construction of educational and teaching platforms in higher education. In this paper, we design a questionnaire with reference to relevant research and the characteristics of higher education and use the questionnaire to collect data on students’ perceptions of teaching quality and related learning effects in higher education under the application of meta-universe technology. Then, we use correlation analysis and regression analysis to investigate the correlation and influence between the perceived quality of teaching and learning adaptability, academic mood, and learning motivation after the application of metaverse technology in higher education. It was found that the average degree of perceived quality of teaching and learning of higher education students in the environment of meta-universe technology was at a high level (4<M<5), and there was a significant positive correlation between it and students’ learning adaptability (r>0, P=0.002). All the factors of perceived quality of teaching, except for content interestingness, had a significant effect on students’ learning ability adaptation (P<0.05). The development strategies proposed in this paper from the aspects of meta-universe technology development, data protection, and sharing provide valuable references and lessons for the construction and development of meta-universe technology in colleges and universities.
A study of changes in nitrogen and phosphorus patterns and microplastic characteristics in sediment-water systems
Authors: Song Jingyi 
Published: October 2024

Abstract
The main objective of this study was to characterize the distribution of microplastics and nitrogen and phosphorus forms in the surface sediments of Lake Luoma, where samples were collected from August 2022 to March 2024 from 32 sampling sites. The enrichment factor method and pollution load index were used extensively to analyze the environmental characterization of heavy metals in Lake Luoma’s sediments. Shape differences were used to estimate individual particle volume and mass, and microplastic storage calculations per sediment were calculated by combining the percentage of microplastics in each shape. The results showed that the average ammonia nitrogen content in the water of Luoma Lake was 346.49 mg/kg, and the average nitrate nitrogen content was 9.75 mg/kg. Phosphorus was mostly present in the form of iron and phosphorus, with a detection rate of 85.67%. Most of the area’s nitrogen and phosphorus are in line with the Ⅲ water quality standard in the “Environmental Quality Standard for Surface Water”, but the total phosphorus content of individual sampling points is more than 0.1mg/L, which is more serious pollution. The mean abundance of microplastics in the sediments of Lake Luoma was 5506.45±2537.21 n·m−3 , showing the trend of in-lake > confluent tributaries > out-lake. Microplastics were released into the upstream surface sediments by the water flow, moved downstream, and settled again.
Research on the Integration Strategy of Civic and Political Education in College Students’ Career Guidance under the Perspective of Factor Analysis
Authors: Zhang Ye 
Published: October 2024

Abstract
The integration of Civic and Political Education and Employment Guidance can enhance the effectiveness and validity of employment guidance so that students can better solve the problems in job development and, employment, and entrepreneurship under the dual influence of employment guidance and Civic and Political Education. In analyzing the influencing factors of college students’ employability, this paper first initially identifies the relevant factors affecting college students’ employability based on survey interviews, and then applies factor analysis to explore the potential structure in the data. This study is based on doing questionnaire survey on employment influencing factors for some graduates and current students of Z university, using SPSS software to factor analyze the sample data, downgrading 10 employment influencing factors to 3 common factors, named as employment guidance factors, civic education factors, and enterprise factors, and obtaining the weights of the common factors through the normalization process. The degree of influence on college students’ employment is in descending order, with employment guidance factors, civic and political education factors, and enterprise factors being the most important factors. Employment guidance and ideological education are the key factors affecting the employment of college students, and this paper proposes relevant strategies for integrating and developing these two factors.
Improved Demons algorithm for non-rigid medical image alignment
Authors: Wang Ruili , Zhang Baolong 
Published: October 2024

Abstract
Medical image alignment is an important research field in medical image processing, which is widely used in clinical diagnosis and treatment, such as surgical navigation, lesion tracking, and treatment evaluation. In this paper, an improved algorithm combining the Demons algorithm and SIFT algorithm is proposed, which uses the SIFT algorithm to represent the feature points in non-rigid medical images as a scale space sequence and normalize the descriptors in the scale space sequence. Then, the two-way alignment strategy and multi-resolution strategy are introduced to improve the accuracy of Demons algorithm in the alignment of non-rigid medical images with complex deformation. The study shows that the improved Demons algorithm can achieve better alignment results when the weights of the feature matching terms are taken as −1 and 1, which makes the improved Demons algorithm with the addition of SIFT feature terms perform optimally. Alignment simulation experiments found that the MSE value of this paper’s improved algorithm is only 0.077. The alignment effect of non-rigid medical images is much better than the comparison algorithm and can maintain a shorter running time. The algorithm in this paper can effectively realize the non-rigid alignment of medical images, which provides a reference method for medical diagnosis and the effective formulation of treatment plans.
Analysis of the contribution of rural road infrastructure development to economic growth based on computer algorithms
Authors: Gao Hailin , Tong Guangji 
Published: October 2024

Abstract
A convenient and efficient rural road network helps to develop the rural economy and promote national rural revitalization. This paper systematically analyzes the role of rural road infrastructure construction on economic growth from a theoretical perspective. Simultaneously, it employs a computer algorithm based on vector autoregression to construct an econometric model. Based on this theoretical analysis empirically examines the relationship between rural infrastructure construction and economic development. It collects data from a city’s rural area from 2000 to 2020 as a research sample and conducts a series of analyses, including VAR model estimation, impulse response, and variance decomposition. The results show that rural road infrastructure construction has a significant impact on economic growth, with coefficients of −0.288 and 0.356 for lags 1 and 2. The construction of rural road infrastructure is responsible for more than 90% of the variation in economic growth, whereas the opposite is about 10%. Therefore, rural road infrastructure development does not have a significant effect on economic growth in the short term but has a significant effect in the medium and long term.
Research on AIGC-driven Innovation Path and Smart Creative Workflow Optimization in Design Field
Authors: Zhao Peng , Shen Lu 
Published: October 2024

Abstract
AIGC has attracted much attention in the application of art and design professional fields and has gradually become an important auxiliary tool for art and design professionals creation. This paper utilizes AIGC as a starting point for design creativity and develops a text-guided image generation model based on AIGC, which employs a semantically consistent generative adversarial network. We compare different model indexes across different datasets to evaluate the image generation effect of the constructed model. Subsequently, we summarize and optimize the intelligent, creative workflow. Based on this workflow and the image generation model, we generate a series of images as an example of a cosmetic package. We then analyze the audience’s acceptance of these intelligently generated images through a questionnaire survey, thereby exploring the impact of AIGC-driven design and innovation. The GAN-SC model outperforms the comparison algorithms in various datasets, achieving an IS value higher than AttnGAN and DFGAN by 17.7% and 2.7%, respectively, and reducing the FID metrics by 29.43% and 19.6%, respectively. The acceptance rate of the AIGC-based design solution surpasses that of the traditional solution by 4.9%, and it excels across all design dimensions, showcasing the effectiveness of AIGC-driven design innovation.
A study of the current status of the quality of teacher-child interactions in preschools based on mathematical statistics multiple regression modeling
Authors: Zhang Yuan 
Published: October 2024

Abstract
In group teaching activities, teacher-child interaction occupies a dominant position, and its quality has a significant impact on children’s interpersonal communication, language expression, and problem-handling. This study first designed a relevant questionnaire to assess the current quality of teacher-child interactions in preschools and then developed a stepwise regression algorithm based on decision trees to investigate the factors that influence the quality of these interactions. Firstly, we remove a certain number of irrelevant variables from all the input variables to reduce interference. Next, we establish stepwise regression equations between the input variables and output variables selected by decision tree pruning. Finally, we eliminate the variables with covariance. The study found that the average score of the quality of teacher-child interactions in preschools is 4.2381, which is relatively low, and the highest score in the dimension of “classroom organization” is only 4.8908. The highest score in the dimension of “classroom organization” was only 4.8908. The average scores of “emotional support”, “classroom management,” and “educational support” in the dimensions of small class and life activities were 4.76746, 4.10562, 2.8455, and 5.562, respectively, 2.8455) and (5.01564, 4.99567, 3.75402) respectively. Teacher-child interaction quality = 4.012 + 0.145 × emotional expression, i.e., emotional expression has a significant positive effect on the quality of teacher-student interaction, and the independent variable, emotional expression, can significantly and positively predict the dependent variable teacher-child interaction quality. This paper provides a useful exploration for improving the professional abilities level of kindergarten teachers and the quality of their interactions with children.
Integration of Natural Scenery in Chinese Landscape Painting and Application of 3D Modeling Technology
Authors: Wang Haifeng 
Published: October 2024

Abstract
We determine the content of natural scenery material in landscape painting based on the artistic characteristics and techniques of traditional Chinese landscape paintings. The 3Dmax software in 3D modeling technology is selected as the main modeling tool, and the construction of the 3D scene of landscape painting is completed based on the IFS theory (Iterative Function System Theory), and then the scene is rendered and texture synthesized, and the virtual landscape mood space is displayed, and the fusion of natural scenery and 3D modeling technology is finally realized. The analysis of the research data reveals the integration of natural scenery and 3D modeling technology. The results show that the iterative function system quickly generates the natural scenery scene in the landscape painting by continuously regulating, changing, and controlling the parameters in the affine transformation (the influence factor of each branch is 0.9, 0.7, 0.4, and 0.15). While the static rendering speed of 47 is slower than the dynamic rendering speed of 34, the overall rendering speed still meets the real-time detection criteria, confirming that 3Dmax is capable of achieving dynamic real-time rendering of 3D mountain models. The regression coefficient for high efficiency is 0.208, with a significance level of 0.005, indicating a significant positive impact on user experience. The higher the efficiency, the better the user experience, revealing the mechanism behind the interactive 3D scene. This study promotes the integration of natural scenery and 3D modeling technology to further develop the digital research of Chinese landscape painting.
Export Competitiveness Enhancement Strategies for China’s Manufacturing Industry Based on Global Value Chains
Authors: Zhang Yulei , Li Hui , Zhang Fan , Zhang Hang 
Published: October 2024

Abstract
The process of globalization is deepening, and the international division of labor has further evolved from the traditional pattern into the production mode of global value chains. This paper calculates the degree of participation in the global value chain of China’s manufacturing industry and analyzes the index of comparative explicit advantage of China’s manufacturing industry in each category, i.e., the NRCA index. The decomposition method of trade flows of intermediate goods is used to interpret the value added of trade based on the international input-output table. In accordance with OECD industrial classification, subdivide the manufacturing industries and evaluate the overall export competitiveness of China’s manufacturing industry. Propose the new explicit comparative advantage index (RCA_VA index) and carry out the overall measurement and the measurement of each technology level industry separately. From the point of view of the RCA_VA index of China’s manufacturing industry as a whole 1.29 < RCA_VA<1.44, the range of value changes is small. The RCA_VA index for low-tech, medium-low-tech and high-tech industries is 1.00 < RCA_VA < 2.00, and China’s manufacturing industries as a whole, as well as industries at all technology levels, have significant comparative advantages and a certain degree of competitiveness in the international market. For the development of export competitiveness of chemical and pharmaceutical products, transportation equipment, and other manufacturing industries, it is necessary to further enhance the segmentation of manufacturing industries and make targeted improvements.