bluuebunny/crossref_metadata_2025_split huggingface dataset:
A practical study on integrating ecological education in university mathematics education in the context of deep learning
Authors: Ding Jiutao 
Published: October 2023

Abstract
This paper combines the deep learning model and the concept of environmental education to construct an ecological education model of university mathematics based on deep learning and designs an index evaluation system for the ecological teaching quality of university mathematics under deep learning. The indicators that affect the quality of ecological teaching of university mathematics are analyzed by partial correlation analysis and factor analysis, and then the indicators after partial correlation, as well as factor analysis, are further analyzed by multiple linear regression, and the teaching model is put into practice. The correlations of student engagement, classroom culture, and clear objectives with teaching quality were 0.99, 0.99, and 0.98, respectively, and the evaluation satisfaction of each indicator was above 0.8, which could be effectively integrated.
Ideological Analysis of Digital Capitalism in the Context of Marxist Political Economy Critique
Authors: Li Meng , Liang Qiu 
Published: October 2023

Abstract
This paper focuses on analyzing and studying digital capitalism using a textual analysis model in the context of Marxist political economy. The magnitude of the angle between text vectors can be used to measure the similarity between digital capitalism and political economy. An iterative computational approach is employed to address the issue of overfitting in text. Constructing a BERT model involves formulating a self-attentive mechanism and setting up an embedding layer. The direction of digital capitalism’s ideology in the political economy context is examined about its characteristics. The results show that digital labor is more secretive regarding office location than traditional labor, with a secrecy rate of 60%. Unpaidness, large quantity, and potential value dominate data characteristics, with 90% unpaid data.
Synthesis of graded Cu-NiO composites and their performance in photocatalytic CO2 reduction of carbon dioxide
Authors: Wang Xin , Liu Xiaoheng 
Published: October 2023

Abstract
In this paper, firstly, the basic principle and efficiency of photocatalytic CO2 reduction are analyzed, and the thermodynamic and kinetic principles of photoreduction of CO2 are explained. Secondly, the graded Cu-NiO composites were prepared using the solution combustion method, and the atomic structure density properties of the graded Cu-NiO composites were calculated using the Hohenberg-Kohn theorem of density generalization theory. Finally, an empirical analysis was conducted to verify the effectiveness of the graded Cu-NiO composites for photocatalytic CO2 reduction. The results showed that the overall capacitance of Cu-NiO composites was between [−3.5*107F−2·cm2,−1.5*107F−2·cm2], and the methanol yield of 4% Cu-NiO composites reached 729 μmol/g cat and the ethanol yield of 4% Cu-NiO composites decreased to 171 μmol/g cat after 5 h of reaction.
Research on the practical strategy of ideological and political education in colleges and universities based on thinking operation model
Authors: Lv Jie , Chen Liu 
Published: October 2023

Abstract
This paper focuses on the correlation analysis of the thinking operation model, learning motivation, and ideological and political education practices. According to the correlation between the thinking operation model and learning motivation, internal motivation and external motivation are analyzed for motivation to learn. The core elements of the ideological and political education practice system in colleges and universities are finely classified, and students’ learning motivation and academic achievement are selected as the main research objects. A combination of stack autoencoder and Gaussian mixture model is used to constitute a deep clustering model of learning motivation for intervention analysis. The change in achievement was significant before and after the intervention twice, p<0.1, which means that the achievement after the intervention was significantly higher. Colleges and universities should mobilize students’ learning motivation to enhance the effectiveness of ideological and political education practices in colleges and universities.
A deepening study of philosophical cognitive logic based on intelligent interaction
Authors: Zhao Yuhao , Bakaevna Abykeeva-Sultanalieva Taalaigul , Shaiyldaeva Asel 
Published: October 2023

Abstract
This paper analyzes the research object of cognitive logic in the context of information technology and philosophical reflection and constructs a model of cognitive logic for contextual dynamics. Contextual recognition of philosophical cognitive logic is achieved through contextual sequence feature extraction, and realistic, intelligent interaction is analyzed through probabilistic potential semantic analysis, while philosophical cognitive logic deepening is achieved using PELP grammar. The analysis of the deepening model showed that the interaction degree of the mental dimension increased from 0.79 to 0.91, and the interaction degree of the thinking dimension increased from 0.88 to 0.97. Applying the model to learning, the difference between learning methods without the model was up to 15 points, and the deepening of philosophical cognitive logic based on intelligent interaction could improve thinking ability.
Research on the Development Strategy of Ethnic Traditional Sports Based on Optimization Theory
Authors: Yang Bosen , Gong Nanhui 
Published: October 2023

Abstract
This paper analyzes the ethnic traditional sports culture regarding three characteristics: sport, ethnicity, and tradition. Secondly, it examines the state of development of ethnic traditional sports and provides a direction for their development. Then, it is to select the variables, set them, and construct the optimization model for developing ethnic traditional sports based on optimization theory. Finally, the factors that influence the development of ethnic traditional sports are analyzed through empirical evidence. The results show that 75.8% of the residents in T city area think that the three dimensions of historical elements, cultural elements and communication methods have the most influence on the development of traditional ethnic sports, and 145 residents think that social factors have the least influence on the development of ethnic traditional sports.
The Construction of Information Platform of Ideological and Political Education in Universities Based on Information Diffusion Model
Authors: Wang Xiaoting , Ma Rongfan 
Published: October 2023

Abstract
This paper examines the role of the information diffusion model in constructing ideological and political education information platforms in colleges and universities. The degree of information diffusion is calculated by establishing the diffusion coefficient to estimate the number of two-dimensional information diffusion losses combined with the two-dimensional information diffusion loss function of information sample points. The optimization of the information diffusion maximization algorithm improves the accuracy of calculating information diffusion, and the evaluation index of information diffusion maximization is formulated to judge the degree of information diffusion. The results indicate that the Civic Education Information Platform is highly practical. The functional index scores are all above 70 and have usability, among which the functional practicality index has the highest score, with an index score of 77.21. The information technology platform is effective. The correct rate of students completing questions on the platform is generally above 75%.
Analysis of enzyme interference factors in millet storage based on machine learning
Authors: Chen Yi , Wei Dong , Wang Lei , Liu Chang 
Published: October 2023

Abstract
In this paper, we first investigate the peroxidase enzyme during millet storage, deeply analyze the characteristics of different types of grain bins during millet storage, and then summarize the peroxidase properties. Secondly, to extract the feature vector of the molecule, a descriptor was introduced, and on machine learning, SVM was used to construct a model of catalytic site MCD-MFEs and multiple catalytic sites SMAD-MFEs. Then, experimental materials were selected, experimental methods and measurement methods were determined, and an example analysis of machine learning-based enzymes during millet storage was performed, specifically from two aspects: model analysis and the study of peroxidase during millet storage. The results showed that the activity of millet peroxidase decreased by 92.2mg H2O2g−1, 90.4mg H2O2g−1, and 85.7mg H2O2g−1 for conventional, nitrogen-filled storage at 22°C. The activity of millet peroxidase decreased by 102.2mg H2O2g−, 98.8g H2O2g−, and 95.1mg H2O2g− The rate of reduction in peroxidase activity of millet stored in nitrogen-filled storage was not significantly different. This study was conducted to understand the enzyme change pattern during millet storage to provide a more intuitive and realistic reference for individual households to store grain.
Research on the ideologic and politic education of college students based on big data analysis
Authors: Qiu Zheng 
Published: October 2023

Abstract
This paper firstly researches the ideological and political education in higher education institutions in the background of the big data era and puts forward the innovation strategy of ideological and political education mode in higher education institutions in the big data era. Secondly, it studies the application of data mining technology in colleges and universities for ideological and political education. Based on data mining technology, the data on ideological and political education is determined by the clustering algorithm, followed by a quantitative examination of the policy text of ideological and political education of colleges and universities by calculating the quantitative statistical analysis of policy text, word frequency, and word cloud analysis. Then, the research subjects were selected, and the initial data were obtained using questionnaires, further pre-processing, and further empirical analysis of ideological and political education based on data mining technology. The consequences show that the proportions contained in the three types of score bands, namely 17.99%, 59.38% and 9.96%, basically match with the sample proportions accounted for by the three types of grades assessed by clustering, namely 30.51%, 62.02% and 8.47%, which confirms that such a model of data mining adopted according to the quantitative table of ideologic and politic education assessment in higher education institution is a very successful model. This study contributes to the innovation of online ideological and political education work in higher education institutions in the context of big data.
Exploring the Reform and Innovation of College English Teaching Based on the Knowledge Diffusion Model
Authors: Liu Yuli 
Published: October 2023

Abstract
This paper analyzes the technical and educational aspects of English teaching informatization, explores the impact of university English teaching reform on traditional English teaching in the informatization era, and designs an information technology-assisted precise English teaching model in three stages: before, during and after class. To realize accurate teaching, the FCE_DFM teaching resource recommendation model is constructed by the fuzzy C-mean clustering method in combination with the recommendation model based on self-encoder and FM. The RMSE and MAE values of this paper were reduced by about 0.12 and 0.2, respectively, compared with traditional recommended teaching, the attendance rate was increased by 22%, and about 2.0 points improved the emotional attitude toward learning through English teaching reform practice.
The development of digital model of college Civics teaching combined with information diffusion model
Authors: Zhang Yaobin 
Published: October 2023

Abstract
In this paper, the information sphere radiation model describes the diffusion process of information in cyberspace. In real space, the information ring radiation model represents how information diffuses through interpersonal transmission in social circles. Secondly, the degree distribution of nodes in the network is described by the spatial topology’s degree distribution function and how information diffusion in the network is constructed. Finally, the model’s effectiveness is verified through the simulation of the total number of nodes function Q(t) for the diffusion of information in Civic and Political Science teaching. The mean diffusion degree is around 1.2 according to the results when teachers and students are the main interactors. In the case of student-content interaction and hybrid interaction, the mean value of diffusion is around 2.3. In the exercise session, however, the student-student diffusion degree reached 3. Through the information diffusion model, this paper facilitates the development of a digital model for college Civics teaching.
Teaching reform and practice of English courses in agriculture under the background of “Internet+” based on big data analysis
Authors: Lin Yan 
Published: October 2023

Abstract
This paper first studied the association rule algorithm model’s mining steps and algorithm features and improved the algorithm by quantifying attributes and frequent clustering. Then, the “Internet +” English teaching scheme for agricultural majors is proposed, the corresponding teaching system is designed, and a fresh approach to teaching English is developed. The impact of the teaching reform was evaluated using the indices of English efficiency, ability change, and learning status. The mean values of students’ learning attitude, interest, strategy and efficiency increased by 0.299, 0.844, 0.522 and 1.074, respectively, after using the “Internet + Classroom” teaching mode, which indicates that the new English teaching mode has significant teaching effects. This study provides new ideas and practical experience for reforming English courses in agriculture.
Study on the optimization of the integration path between animation design and cultural and creative industries in the information era
Authors: Zhou Quan 
Published: October 2023

Abstract
This paper aims to promote the integration of animation design and cultural and creative industries. The shape gradient algorithm is used to analyze the features of the animated shapes. The corresponding interval distance of anime shapes is determined by calculating the curve sampling points of anime feature points. The deformation framework is created, and a sequence of anime shapes is generated using the linear interpolation method. In the deformation of anime design, the role of three algorithms, namely image segmentation module, association map of attributes, and mathematical description of EMD, on its generation is focused on the analysis. The results show that anime users from post-00 and post-10 are more inclined to anime peripherals, accounting for 30% and 35%, respectively. The annual growth rate of anime peripheral is 90.2%, and the annual growth rate of the overseas anime market is also gradually increasing, reaching a growth rate of 103.1%. A successful anime IP will certainly influence the development of its anime and cultural creation industry. The research in this paper is conducive to promoting better integration of animation design and cultural and creative industries and promoting the development of an innovation economy.
Enterovirus E infects bovine peripheral blood mononuclear cells. Implications for pathogenesis?
Authors: Małaczewska Joanna , Wróbel Małgorzata , Kaczorek-Łukowska Edyta , Rękawek Wojciech 
Published: October 2023

Abstract

Introduction
Enterovirus E (EV-E) is a common viral pathogen endemic in cattle worldwide. Little is known, however, about its potential interactions with bovine immune cells.

Material and Methods
The EV-E-permissiveness of bovine peripheral blood mononuclear cells (PBMCs) was evaluated. The infectious titres of extracellular virus were measured and the intracellular viral RNA levels were determined by reverse transcription quantitative PCR after cell inoculation. The effects of EV-E on cell viability and proliferative response were investigated with a methyl thiazolyl tetrazolium bromide reduction assay, the percentages of main lymphocyte subsets and oxidative burst activity of blood phagocytes were determined with flow cytometry, and pro-inflammatory cytokine secretion was measured with an ELISA.

Results
Enterovirus E productively infected bovine PBMCs. The highest infectious dose of EV-E decreased cell viability and T-cell proliferation. All of the tested doses of virus inhibited the proliferation of high responding to lipopolysaccharide B cells and stimulated the secretion of interleukin 1β, interleukin 6 and tumour necrosis factor α pro-inflammatory cytokines.

Conclusion
Interactions of EV-E with bovine immune cells may indicate potential evasion mechanisms of the virus. There is also a risk that an infection with this virus can predispose the organism to secondary infections, especially bacterial ones.
GLICOPEPTÍDEOS: ASPECTOS FARMACOLÓGICOS E APLICAÇÕES CLÍNICAS
Authors: De Matos Brenda Castro , Da Silva Yasmin Castilho Barbosa , Burton Elizianne Andrade , Magalhães Mírian Brasil de Oliveira , Manaças Liliane Rosa Alves , Badin Rebeka Caribé 
Published: October 2023

O uso indiscriminado dos antimicrobianos tem gerado um problema significativo na saúde pública, acarretando impactos negativos como fracasso na farmacoterapia frente as infecções bacterianas e aumentos nos custos assistenciais. Esta revisão narrativa tem como objetivo descrever as propriedades farmacocinéticas e farmacodinâmicas e aplicações clínicas dos principais antibióticos pertencentes a classe dos glicopeptídeos. A busca de artigos foi realizada nas seguintes bases de dados: Literatura Latino Americana e do Caribe em Ciências da Saúde (LILACS/PUBMED), SciELO (Scientific Electronic Library Online) e Biblioteca Virtual em Saúde (BVS). A vancomicina e a teicoplanina são fármacos de primeira linha no tratamento de infecções por bactérias gram-positivas com resistência a outros antibióticos. Ambos apresentam estruturas cíclicas complexas, contendo aminoácidos ligados a grupos de carboidratos que lhe conferem propriedades únicas. A administração dos glicopetídeos deve ponderar fatores relacionados ao paciente como faixa etária, função renal, desnutrição e obesidade devido a sua heterogeneidade farmacocinética, por isso o monitoramento sérico é recomendado para assegurar concentrações plasmáticas efetivas. Diante do exposto, o uso adequado e baseado em evidência científica dessa importante classe de antibióticos visa otimizar o tratamento farmacoterapêutico e diminuir o avanço da resistência bacteriana.
Autorotation-Based Descent with Trajectory Optimization
Authors: Patnala Susmitha , Elango Purnanand , Mohan Ranjith , Shamrao  
Published: October 2023

The paper investigates the unpowered descent of a rotor system through the upper atmosphere. Axial and helical trajectories are investigated in the context of fixed points as well as an optimal control problem for maximizing flight time. The mathematical model considered in the paper incorporates the fuselage degrees of freedom, dynamic inflow model, and airfoil characteristics that depend on Mach and Reynolds numbers. Considering a potential application as a descent mechanism, trajectory generation is performed to maximize the flight time. As an example, the performance in the Venusian atmosphere for rotors with different airfoil characteristics is assessed. To delineate the role of constraints, initial conditions, and aerodynamic forces on the optimal descent, the axial trajectory is studied by dividing it into two phases. The first phase corresponds to the trajectory determination through an optimization process wherein control inputs are provided such that states are within bounds. The second phase trajectory (below 70 km), although determined by solving the optimal control problem as in phase-I, is shown to be close to that achieved using control inputs corresponding to fixed points corresponding to each altitude. Apart from the axial flight, helical trajectories and corresponding fixed points are investigated using a rotating constant sideslip frame. Furthermore, optimal helical trajectories are also determined, which could be useful for rotor-based descent mechanisms. A comparison between axial and helical fixed-point solutions is also presented.
On simulation of the hydrodynamic regime of currents in channel systems during the passage of a flood wave on the example of the Ob river section
Authors: Атавин А.А. , Овчинникова Т.Э. , Кондакова О.В. 
Published: October 2023

Рассмотрен пример численного моделирования прохождения волны половодья на участке верхней и средней Оби ниже плотины Новосибирской ГЭС. Расчеты выполнены с использованием численной модели для описания распространения и трансформации волн половодий и паводков в системе русел (STREAM), разрабо танной в ИВЭП СО РАН. Модель основана на одномерных уравнениях Сен-Венана. Система русел моделируется в виде графа типа дерево, в вершинах которого за даются условия сопряжения основных гидродинамических параметров. Приведена приближенная численная оценка порядка точности метода решения. Результаты моделирования хорошо согласуются c данными наблюдений.
The goal of the study is to analyze the possibility of using the numerical model STREAM for performing research on the passage of a flood wave in a system of channels. The model was developed at IWEP SB RAS on the basis of one-dimensional Saint-Venant equations. It allows describing the flow regimes in channels, represented as a directed graph of the tree type. In the nodes of the graph (channel gates), the conjugation conditions for the main hydrodynamic parameters flow rates and water levels are set. The finite difference method is used to solve the system of equations. The difference scheme has a second order of accuracy in space and a first order in time. An approximate numerical estimate of the order of accuracy of the model using the Runge method is obtained. Numerical simulation of the Ob river section under the conditions of a high-water year 2014 has been carried out. To construct the morphometric model of the graph, data from the pilot map of the river and data of the expedition studies of IWEP SB RAS were used. The hydrological information is taken from the open access source “Automated information System of State monitoring of water bodies”. As a simulated object, a section of the Ob river from the Novosibirsk hydroelectric power station to Alexandrovskoye village is taken. The length of the site is 1210 km. The flow rates of six tributaries are taken into account. The graph consists of 12 segments. In the closing section, a boundary condition is set for water flow in the form of a flow rate versus level. To estimate the influence of the boundary condition on the simulation results, two water flow curves were constructed according to the data of 2013 and 2014 years. Qualitative and quantitative estimates of the difference in levels using two different curves, as well as comparison with the measurement data, were obtained. It is shown that the calculation method provides an acceptable agreement between the calculated values of water levels and the observational data. The possibility of using the water flow curve according to the data of the previous year as a boundary condition in the closing gate is demonstrated.