bluuebunny/crossref_metadata_2025 huggingface dataset:
Respiratory support in children with severe bronchopulmonary dysplasia. A bibliographical review
Authors:   Morozov Children’s City Clinical Hospital, Moscow, Russia, Mezhinsky S.S. ,   Russian Medical Academy for Continuous Professional Education, Moscow, Russia, Mostovoy A.V. ,   Russian Medical Academy for Continuous Professional Education, Moscow, Russia,   L.A. Vorokhobov Moscow City Clinical Hospital No. 67 of the Moscow Department of Healthcare, Moscow, Russia, Karpova A.L. ,   Russian Medical Academy for Continuous Professional Education, Moscow, Russia,   L.A. Vorokhobov Moscow City Clinical Hospital No. 67 of the Moscow Department of Healthcare, Moscow, Russia, Gorev V.V. ,   Morozov Children’s City Clinical Hospital, Moscow, Russia,   Russian Medical Academy for Continuous Professional Education, Moscow, Russia, Ovsyannikov D.Yu. ,   Morozov Children’s City Clinical Hospital, Moscow, Russia,   Patrice Émery Lumumba People’s Friendship University of Russia, Moscow, Russia, Zaplatnikov A.L. ,   Russian Medical Academy for Continuous Professional Education, Moscow, Russia
Published: February 2024

Bronchopulmonary dysplasia (BPD) is a chronic lung disease of multifactorial etiology characterized by the formation of respiratory failure and regressing as the child grows. With a severe form of BPD, adequate and safe respiratory support is required for a long time. The mechanical properties of the lungs in these patients differ significantly from those in acute respiratory pathology, which should be taken into account when setting the parameters of the ventilator. Important task is to determine the optimal moment for the transition to a strategy of respiratory support for damaged lungs, which is characterized by slow dynamics and specific parameter settings. In the absence of recommendations based on high quality evidence, most specialists choose a personalized approach that takes into account the specificity of respiratory mechanics in patients with severe BPD. An important goal is to achieve respiratory comfort, which allows achieving optimal growth and recovery of respiratory system.
Resolution by the Expert Council on the use of the Valoctocogene Roxaparvovec drug in patients with Hemophilia A in Russia
Authors:   National Scientific and Practical Center for Pediatric Hematology, Oncology and Immunology named after Dmitry Rogachev, Moscow, Russia, Rumyantsev A.G. ,   Pirogov Russian National Research Medical University, Moscow, Russia,   Russian Academy of Sciences (RAS), Moscow, Russia,   Editorial of the Journal “PEDIATRIA. Journal named after G.N. Speransky,” Moscow, Russia, Andreeva T.A. ,   Saint Petersburg City Polyclinic No. 37, Saint Petersburg, Russia, Zharkov P.A. ,   National Scientific and Practical Center for Pediatric Hematology, Oncology and Immunology named after Dmitry Rogachev, Moscow, Russia, Zozulya N.I. ,   National Hematology Medical Research Center of the Ministry of Healthcare of Russia, Moscow, Russia, Mamaev A.N. ,   Altai Branch of the National Medical Research Center for Hematology of the Ministry of Healthcare of Russia, Barnaul, Altai Krai, Russia, Svirin P.V. ,   Hematology Department with the Morozov Children’s City Clinical Hospital, Moscow, Russia, Momot A.P. ,   Altai Branch of the National Medical Research Center for Hematology of the Ministry of Healthcare of Russia, Barnaul, Altai Krai, Russia,   Hematology Laboratory with the Altai State Medical University (ASMU), Barnaul, Altai Krai, Russia
Published: February 2024

Resolution by the Expert Council on the use of the Valoctocogene Roxaparvovec drug in patients with Hemophilia A in Russia.
Congenital (antenatal) hydronephrosis-modifiable risk factor for chronic kidney disease in children: interdisciplinary approach to prevention of chronic disease. Bibliographical review and the Authors’ own data
Authors:   Samara State Medical University, Samara, Russia, Poretskova G.Yu. , Sedashkina O.A. ,   Samara State Medical University, Samara, Russia,   Samara Oblast Regional Clinical Hospital named after V.D. Seredavin, Samara, Russia, Mazur L.I. ,   Samara State Medical University, Samara, Russia, Terekhin S.S. ,   Samara Oblast Regional Clinical Hospital named after V.D. Seredavin, Samara, Russia, Gasanov J.A. ,   Samara State Medical University, Samara, Russia,   Samara Oblast Regional Clinical Hospital named after V.D. Seredavin, Samara, Russia, Barskaya M.A. ,   Samara State Medical University, Samara, Russia, Balashova V.N. ,   Samara Oblast Regional Clinical Hospital named after V.D. Seredavin, Samara, Russia, Kuznetsova V.N. ,   Samara Oblast Regional Clinical Hospital named after V.D. Seredavin, Samara, Russia, Makovetskaya G.A. ,   Samara State Medical University, Samara, Russia
Published: February 2024

Congenital hydronephrosis (CHN) is the most common malformation of the kidney which leads to the development of chronic kidney disease (CKD) in children up to its terminal stage. Current clinical practices related to observation and analysis of long-term outcome of the disease and interdisciplinary collaboration are in the need for further improvement. The purpose of the research was to determine whether CHN is a modifiable risk factor for the onset and progression of CKD in children. Materials and methods used: a single-center cohort retrospective study of the results of antenatal screening of fetuses with congenital defects of organs and systems both with CAKUT syndrome and CHN was conducted at the Samara Oblast Regional Clinical Hospital named after V.D. Seredavin (Samara, Russia) in 2013-2022. Results: 13,484 fetuses were registered with congenital malformations of organs and systems, of which 2,818 (20.9% [20.2%; 21.6%]) with those of urinary organs. 390 were born alive with CHN (13.8% [12.6%; 15.2%]), of which 359 (92%) had surgical intervention using Heinz-Andersen method at the age of 37 [0.3-44.5] weeks: 208 (58%) boys/151 (42%), girls; unilateral CHN in 345 (96%) and bilateral in 14 (4%). Recovery occurred in 328 (91.4% [88.0%; 93 ,9%]) cases with CHN after the surgery. Based on the results of the research, an algorithm for interdisciplinary interaction of healthcare specialists was developed for routing of the pregnant women with fetal CAKUT syndrome. Conclusion: CHN is a modifiable risk factor for the development of CKD since 91.4% of children recovered in the long term.
A educação superior a distância no Brasil: regulação e políticas de expansão (1998-2018)
Authors:   Universidade Federal da Fronteira Sul (UFFS), Trevisol Joviles Vitório , Toledo Jaques Antonio de ,   Universidade Federal da Fronteira Sul (UFFS)
Published: February 2024

O presente trabalho apresenta os resultados de uma pesquisa sobre as políticas e as dinâmicas da educação superior a distância (EaD) no Brasil nos últimos 20 anos (1998-2018). A pesquisa foi desenvolvida por meio de uma extensa pesquisa bibliográfica e documental, além do levantamento e análise dos dados disponibilizados pelo INEP/MEC. O primeiro passo foi analisar os principais marcos regulatórios da EaD no Brasil. Em seguida, procedeu-se a sistematização dos dados quantitativos disponíveis na base de dados do INEP e disponibilizados pelo órgão aos pesquisadores por meio dos microdados da educação superior no Brasil. Os dados foram organizados em inúmeras categorias de análise. Os dados evidenciam, entre outros aspectos, o crescimento das instituições, cursos e matrículas de EaD, sobretudo a partir de 2005. Além disso, demonstram que o setor privado passou a ser hegemônico na oferta. Segundo dados do INEP, em 2005 haviam 189 cursos de graduação a distância no Brasil. Em 2018, esse número saltou para 3.177, um crescimento correspondente a 1.560%. Enquanto as matrículas presenciais de graduação cresceram 43,5% entre 2005 e 2018, a modalidade EaD cresceu 1.693%. Um em cada quatro estudantes está matriculado na EaD.
Formação docente para gerir diversidades em sala de aula regular em Portugal
Authors:   Universidade Aberta, Inês Helena , Seabra Filipa ,   Universidade Aberta, Pacheco José Augusto ,   Universidade do Minho
Published: February 2024

O artigo foca a formação docente de 2º Ciclo do Ensino Básico (CEB) em Portugal, no âmbito da gestão curricular e pedagógica de diversidades, particularmente de alunos com dificuldades de aprendizagem ou incapacidades. A nível nacional, foram analisados todos os planos de estudos dedicados à formação inicial e contínua de professores de 2º CEB. Os objetivos- i) caracterizar os planos de estudos de formação inicial e ii) conhecer a oferta de formação contínua, no âmbito da gestão de diversidades e, em específico, de alunos com dificuldades de aprendizagem ou incapacidades- apelaram a uma metodologia de natureza qualitativa, sendo os dados, sujeitos a análise de conteúdo, recolhidos por pesquisa documental em planos de estudos de formação inicial e em planos de formação contínua. Os resultados destacam uma importância e preocupação crescentes com a gestão de diversidades, visível na inserção de conteúdos curriculares nos planos de formação inicial e contínua. No entanto, esse reconhecimento ainda não foi totalmente generalizado, pelo que consideramos que continuamos em tempos de consolidação.
¿Utilizan correctamente Wikipedia los estudiantes universitarios españoles?
Authors:   Universidad Isabel I, Sierra Angel Obregón , González-Fernández Natalia ,   Universidad de Cantabria
Published: February 2024

Wikipedia es una de las páginas web más visitada del mundo. Se trata de una enciclopedia en línea y libre, editada colaborativamente por usuarios de todo el mundo en más de 300 idiomas diferentes. Los estudiantes universitarios la consultan para realizar investigaciones y trabajos de clase, por lo que en esta investigación nos hemos cuestionado si saben utilizarla correctamente. Los resultados han sido obtenidos tras la cumplimentación de 1173 cuestionarios por parte de estudiantes universitarios de Educación en toda España. Una vez analizadas las respuestas se realizaron grupos de discusión a estudiantes universitarios y entrevistas a editores expertos de Wikipedia. Los estudiantes la consultan a menudo, principalmente por su sencillez de uso y porque contiene explicaciones comprensibles, pero no conocen cómo funciona esta enciclopedia, ya que la consultan en momentos poco idóneos de su búsqueda de información y no otorgan suficiente importancia a las referencias en los artículos que consultan.
Uma educação com futuro: princípios com presente
Authors:   Instituto Politécnico do Porto, Duarte Pedro , Moreira Ana Isabel ,   Universidade do Porto
Published: February 2024

Sabendo que nos situamos numa época, e num mundo, de desafios ao instante, de incertezas desconcertantes e de vivências intrincadas, e após uma atenta revisão de literatura especializada, quisemos explicitar a nossa perspetiva fundamentada, sem intenções moralistas ou pretensiosas. Assim, neste texto, com traços de ensaio, propomo-nos a cruzar um conjunto de constructos conceptuais, que entendemos como relevantes para uma discussão alargada sobre a educação e os seus propósitos do passado e do presente, com a sugestão de cinco princípios que, naquele âmbito, poderão orientar(-nos) (n)o futuro. Apelidamo-los de princípios ‘para uma educação com futuro’, pois, face àquele que é o contexto atual, fez sentido, desde já, olharmos para as características que o processo educativo, no seu todo, e de acordo com a visão que assumimos, convocará num amanhã tão próximo. Por consequência, aludimos à sua localização no tempo e na globalidade, à relevância do conhecimento proveniente de diversas áreas, à dimensão humanista e às marcas de democracia bem reveladoras de certa orientação cívica e moral.
Pro-Social Behavior Scale (PSBS) Development Study
Authors: Erdogdu Yüksel , Baykut İlknur Ecem
Published: February 2024

In this study, it was aimed to develop a measurement tool to measure the prosocial behaviors of adolescents. The research was carried out on 540 students studying at secondary and high school levels in Istanbul and Küçükçekmece districts. After the exploratory factor analysis, it was observed that the scale consisted of 4 sub-dimensions: empathy, altruism, sympathy and self-worth. The theoretical structure of these four dimensions of the scale was supported by confirmatory factor analysis. The variance explained by all items of the scale was measured as 66.75. In order to support the validity level of the scale, it was observed that the correlations between the item discrimination values of the items calculated with the t-test and the subscale scores were significant. The external validity of the scale was compared with the previously developed prosocial behavior scale and significant relationships were found between them. Cronbach Alpha values were calculated for the reliability study of the scale, and it was observed that the reliability values of the scale, including the total scale scores, ranged between .74 and .91. In the light of the psychometric data obtained as a result, a measurement tool with high reliability and validity values was developed for adolescents.
The Relevance of Civility Today
Authors: Misztal Barbara
Published: February 2024

The paper emphasizes the contemporary relevance of civility, understood as a respectful way of treating the other and recognition of people’s differences and sensibilities. It outlines the sociological importance of civility as being connected with its role as both a normative guidance orienting us towards prescriptive ideals and as an empirical concept with important social impact on identities and actions. The paper examines Adam Smith’s theory which roots civility in a commercial society, analyses Elias’s (1994) history of civility as the folding of the logic of the civilizing process, and it debates theories linking the idea of civility to civil society. In conclusion, emphases are put on the importance of civility, seen as the act of respectful engaging with people across deep divisions, for the quality of democracy.
Smart Vehicle Driving Behavior Analysis Based on 5G, IoT and Edge Computing Technologies
Authors: Jin Haoxuan , Zhang Hongkuan
Published: February 2024

With the development of science and technology, the realization of intelligent vehicle autonomous driving has become a popular research. In order to realize the optimal autonomous driving behavior, this paper proposes a vehicle-splittable task offloading algorithm for edge offloading in the IoT environment based on the study of edge computing technology and the integration of 5G communication. On this basis, a task offloading model is built by combining Markov decision learning algorithm in order to improve the ability of real-time computation of intelligent vehicles in real driving environment and, at the same time, to realize the recording of dynamic driving behavior of the vehicle and the prediction of intelligent and safe paths in the dynamic IoV environment. Simulation experiments verify the performance of the VPEO algorithm. When there are varying numbers of vehicles and tasks, the VPEO algorithm performs better according to the experimental results. After 750 iterations, the VPEO algorithm achieves a 94% success rate when calculating tasks and stabilizes. In the intelligent warning experiments, the VPEO algorithm measured the average accuracy of lane offset distance, the average judgment correctness of vehicle class, and vulnerable traffic participant in relation to the position of the lane line were 84.66%, 92.26% and 94.69%, respectively. The VPEO algorithm can perform real-time calculations of intelligent driving information, and warnings about intelligent driving safety can be provided.
Research on a parametric model-based algorithm for sports intensity assessment
Authors: Fang Yongliang
Published: February 2024

Nowadays, people’s demand for healthy exercise is growing rapidly, appropriate exercise can effectively improve physical function, and good exercise effect cannot be separated from the assessment of exercise intensity. In this paper, through the construction of a knowledge graph and parameterized inference model, the elastic network algorithm is introduced to assess the exercise intensity, and the three indexes of myocardial force, heart rate and blood supply are chosen as references through the test experiments to compare the exercise intensity level and the prediction results of the parameter model, to validate the validity and accuracy of parameter model assessment method, and then to compare the assessment effect of BP neural network and the parameter model of the present paper on the exercise prescription. Finally, it was concluded that the critical values of exercise intensity classifications obtained from the experimental tests of the three indexes of myocardial force, heart rate and cardiac blood supply were 4.002, 25.742 and −0.301, respectively, and the assessment results obtained from the parametric model were 3.722, 23.793 and −0.276, which were close to each other. A comparison of different levels of exercise intensity testing and assessment results can be obtained. The accuracy of the three test groups is 96%, 93% and 89%, indicating that the accuracy of the parametric model assessment is higher. The best values of the BP neural network and the parametric model in the paper in terms of the accuracy of the assessment of exercise prescription are 95% and 96%, respectively, in terms of the combined parametric model convergence better error loss.
Artificial Intelligence and Digital Museum VR Environment Design Based on Embedded Image Processing
Authors: Luo Jing , Aumeboonsuke Vesarach , He Zenghua
Published: February 2024

As a carrier of human cultural heritage, it is of great practical significance to apply VR technology to the construction of modern digital museums. This paper combines artificial intelligence and SNN algorithms for image segmentation and proposes the overall framework of ‘embedded image acquisition and SNN segmentation processing’. This system is utilized to improve the picture clarity and delay efficiency of VR technology and reduce the vertigo feeling of the user experience. The VR environment of the digital museum is designed according to the user’s intentions. Finally, the effectiveness of the designed museum VR environment is verified by evaluating the comfort, interaction, and emotional experience of the VR museum. The experimental results show that in terms of comfort experience, the SSQ scale score of the VR museum experience based on the embedded image processing is 7.1, which is nearly double the score of the original VR museum experience. In terms of interaction and emotional experience, the overall satisfaction score of the VR environment design of the M museum was 9.4. The two aspects of emotional experience and cultural communication effects were evaluated as 4.27 and 4.05, respectively. It indicates that the user satisfaction of the VR environment design of the AI and digital museum based on the embedded image processing is high, and that this VR environment design can effectively improve the communication of the museum.
Empirical research on the suitability of rural tourism development based on fuzzy comprehensive evaluation method
Authors: Zhang Binbin , Yang Shiheng
Published: February 2024

In recent years, rural tourism has developed rapidly and has become an important growth point for rural tourism economic development. This paper is based on the fuzzy comprehensive evaluation method to construct the evaluation indexes and evaluation levels of rural tourism development suitability, taking the rural tourism development suitability of place Z from 2016 to 2020 as the research object, combining the analysis of gray correlation and gray fuzzy comprehensive evaluation calculation to get the weights of the indicators, the comprehensive scores and the level results of each year, and scoring and analyzing the suitability of the tourism of the 15 villages of place Z, and dividing these rural tourism suitability were divided into different levels. The score of rural tourism development suitability in Land Z during 2016-2020 showed an overall increasing trend, and the rate of increase in 2018 was 6.76%, which was the fastest rate of improvement. Economic development receives the highest weighting among first-level indicators with 0.837, followed by tourism resources, infrastructure, and human resources with 0.758 and 0.734, respectively. In terms of the overall composite score, the tourism suitability of 2016-2020 has increased as a whole, and the composite scores of 2017 and 2018 are both greater than 0.7, with an evaluation grade of “medium”, and the comprehensive scores of 2018-2020 are all greater than 0.8, with an evaluation grade of “good”.
Design of an integrated evaluation system for innovative education in colleges and universities based on the gray comprehensive evaluation method
Authors: Zhou Yun , Yang Shiyu
Published: February 2024

This paper uses hierarchical analysis and gray comprehensive evaluation to quantitatively evaluate the level of integration of innovation education in colleges and universities, and for this purpose, the evaluation system is first designed. The B/S structure model is employed to construct the system, which is divided into seven modules. Within the evaluation module, the evaluation index system is first constructed, combined with questionnaires and other means, the weights are calculated using the hierarchical analysis method, and then the level of innovative education in colleges and universities is quantitatively evaluated using the gray comprehensive evaluation algorithm. Three schools were tested for empirical analysis after the system design was completed. The trial situation of each school shows that the indicators of publicity report and achievement transformation each have 20%~40% poor evaluations, in addition to the indicators of grade ranking and the status of relatives’ business enterprises have 40% very poor evaluations. The innovation and entrepreneurship competition in the ‘process quality’ competition received a score of approximately 62 points, which is generally low. The average score for ‘quality of results’ is typically lower than 70, with a lower average score for ‘innovation and entrepreneurship’ at 63.95 points. The system is functioning well and able to examine the challenges in the school’s innovation education.
Logical Synonymy Construction for Translated Texts Based on Edge Technology
Authors: Zou Haiyan , Xiao Qinhua
Published: February 2024

This paper combines edge technology and communication transmission control technology to characterize the translation logical synonymity of machine-automatically converted translated text, the mapping results of logical synonymity of machine-automatically converted translated text, and construct the logical synonymity model of machine-automatically translated text. Starting from the classification of synonym identification, the similarity algorithm is used to calculate the editing distance and the longest common substring of the synonymous terms of the translated text, and according to the translated text, the synonym matching items are extracted from an arbitrary text collection, and the pairing determines whether there is any synonymity in it. The analysis of data analysis involves analyzing the logical synonymity features of translated texts that use edge technology and Chinese-English and English-Chinese metaphor translation. The results show that the lexical distribution of the translated corpus based on edge technology is basically the same as that of the original Chinese language, except for the gap in the use of nouns (3.35%), verbs (5.19%), adjectives (3.21%), and pronouns (0.30%), the rest of the lexical distributions have very small gaps, and thus show an obvious trend of paradigm, which further confirms that the study of logical synonymy of text based on edge technology is Feasibility. Both explicit metaphors and borrowed metaphors are more than 20% higher in the proportion of direct translations from English to Chinese than from Chinese to English, indicating that the direct translation method is more frequently used in English to Chinese translation. This study contributes to the creation of a linguistic and culturally diverse situation and positively influences the translation process.
Artificial Intelligence Enabling Contemporary Politics and the Construction of Marxist Educational Discourse Systems
Authors: Wang Kai
Published: February 2024

Only by grasping the pulse of the times and continuously injecting the spirit of the times into Marxism can the construction of its discourse system have a source of living water. Based on artificial intelligence, this paper constructs the discourse system of contemporary politics and Marxism education from three aspects: synchronous resonance, comprehensive coordination, and human-computer interaction. The research data from seven universities from April to September 2022 were selected as research examples, and the degree of influence of artificial intelligence on the discourse capacity of contemporary politics and Marxism education was explored using multiple linear regression models and principal component factor analysis. The reliability test and exploratory factor analysis were conducted for the research questionnaire data, and the validation analysis was conducted for the influencing factors and influencing factors of Marxist educational discourse competence. The results show that the degree of influence of the homophily resonance ability factor on Marxist educational discourse ability is 42.78%, and the R2 test results of artificial intelligence technology homophily resonance, comprehensive coordination, and human-computer interaction are all greater than 0.5. The discourse ability of contemporary political and Marxist education is enhanced by 0.726 percentage points when university technology increases by 1 percentage point. The construction of the discourse system of contemporary political and Marxist education empowered by artificial intelligence requires deep excavation of the discourse content and the creation of high-quality discourse contexts in order to realize the full, whole and all-around nurturing of Marxist education in colleges and universities.
Exploring Dual Dimensions in Piano Performance Practice Based on Modern Digital Technology
Authors: Wang Yibing
Published: February 2024

The practical area of “piano performance” is one of the core areas in the piano classroom, and performance skills need to be applied in the practical area of “piano performance”. In this paper, the Leap Motion algorithm is used to extract the piano gesture movements, and the frame-by-frame processing is performed to encode the velocity direction of the fingers during the piano performance. Probabilistic predictions for forward and backward algorithmic sequences of fingers during playing are generated by using the HMM algorithm. To improve piano fingering automatic labeling, we propose combining the HMM algorithm with the judgment HMM algorithm and the Viterbi improvement algorithm for prioritizing piano fingering knowledge. The quantitative evaluation system for piano performance fingering is established to evaluate fingering in piano performance and check the performance scoring of the piano. The selection process included selecting three music clips that had a scoring rate above 0.8764, a gap between them that was not more than 0.06, and superior piano fingering generation quality. In the pre-post performance scoring of each dimension, the performer’s overall performance of the work on the overall appearance of the highest score, the highest score reached 84, the average score of 72.565, the piano performance of the follow-up effect is better. The assisted piano performance practice through digital technology helps piano players improve their performance skills and provides theoretical and practical references for the exploration of piano performance.
Discussion on the policy change and development of after-school services in basic education in the information age
Authors: Cao Lile
Published: February 2024

In terms of students’ actual needs and students’ diversified development needs, it is difficult for the after-school service work at the present stage to fully meet students’ actual needs. This paper applies the PMC index to the analysis of after-school service policy, quantifies the text of basic education after-school service policy, divides different after-school service policies into different grades according to their PMC indexes, and presents the PMC indexes of after-school service policy in the form of pictures. With the help of the weight value of each dimension of after-school service quality of the expert consultation method, the SERVQUAL model was used to calculate the overall perception of students on the quality of basic education after-school service and to analyze the current level of basic education after-school service quality. Strategies for optimization are suggested based on the current index and quality of after-school service policies. The results show that the PMC score of the after-school service policy in Province S in 2022 is 8.91, which is at the merit level, but the shortcoming is that the policy timeliness lacks a short-term policy goal within one year, and the mean value of students’ overall perception of the quality of after-school services in schools is 4.33, and the mean value of overall expectation is 4.401, and the overall service quality gap is −0.07. The overall service quality SQ = −0.07 < 0 Students’ perceived quality of after-school services was low. The quality of after-school services in basic education should be enhanced by enhancing its short-term objectives in the future development of the policy on after-school services.
Expression and Application of Visual Communication Elements in Graphic Design under the Background of Internet+
Authors: Bai Guiwei , Zhou Guobao
Published: February 2024

In this paper, HOG features are used to describe positive and negative sample images, and visual communication elements are extracted by distinguishable mean shift algorithm, and the visual communication elements finally obtained can represent the characteristics of this category and also have a good differentiation to other categories. On the basis of visual communication elements, the set generator, relationship-based discriminator and wireframe rendering discriminator are used to construct the layout generation model of visual communication elements, and the graphic design based on the generation model is empirically analyzed by means of experimental simulation analysis. The results show that after the number of iterations reaches 10,000, the fluctuation range of the generator loss value (0.237~0.154) is very unstable, indicating that the effect of the graphic design based on the generative model has a small real difference with the original image. The change of the discriminator loss value shows a trend of increasing and then decreasing, and its maximum and minimum values are 0.954 and 0.487, respectively, indicating that the input data is not trained in place, and the simple planar design, which is more biased, leads to the effect of the discriminator is not obvious. By reducing the manual operation in the design process, saving the designer’s drawing performance time, and promoting healthy development of graphic design, this study is significant.
The Innovation of Communication Mode of Hunan Sports Culture in the Internet Era
Authors: Guo Cong
Published: February 2024

Hunan culture is a unique cultural form in Hunan, and to some extent, it promotes the rapid development of the Hunan economy, which has a profound influence on the development of sports culture in the region. The Belo SMCR communication model is applied to the innovation of Hunan sports culture communication mode in this paper, and a system for evaluating the efficiency of sports culture communication is established. The DEA evaluation method is used to evaluate the relevant decision-making units affecting the dissemination efficiency of Hunan sports culture, and the Tobit model is introduced to analyze the influencing factors of the dissemination efficiency of Hunan sports culture. With regard to the dissemination efficiency of Hunan sports culture, the data from 2012 to 2019 are used as an example, and it is verified in terms of output redundancy, regression results and mediation effect. The results show that the redundancy of the output of Hunan sports culture on a spatial basis reaches 90.36%, the correlation coefficient of the technical input in the comprehensive efficiency of dissemination is 0.665, and there is an intermediary effect of the local culture industry on the dissemination efficiency of Hunan sports culture, with an R2 fitting value of 0.357. Creating diverse dissemination channels through the use of new technologies is necessary to effectively enhance Hunan sports culture’s communication influence in the Internet age.
The Construction and Transformation of the Discourse System of College Counselors in the New Media Era
Authors: Liu Li
Published: February 2024

As an important guide in the growth process of college students, how to communicate effectively with college students in discourse is a problem faced by college counselors. The LDA college counselor discourse text analysis model is created using Word2vec after processing the discourse of college counselors through text conversion in this paper. The model improves the topic resolution of the LDA model by removing the deactivated words in the discourse text and enriches the word vector data of the discourse text by combining it with the function of expanding feature words of Word2vec. The constructed model is applied to analyze the current situation of the tutor’s discourse themes and subjects by combining the topics generated during the discourse exchange between the tutor and the student and the corresponding generation probability and constructing the tutor discourse system in colleges and universities according to the analysis results. In the analysis of discourse topics, the generation probability of the topic word of personal emotion is the largest among the 20 topics, which is 0.502498, exceeding 0.5. In the analysis of the tutor’s discourse subject, the discourse subject in the sample with the lowest amount of tutor’s discourse still reaches 58.845%, and the average lexical density of tutors in the selected 40 discourse samples is 0.3732. In general, tutors’ discourse is higher, and the discourse weights of counselors and students should be evenly distributed when constructing the counselor discourse system.
Research on Digital Communication Methods for Civic and Political Education and Education Management Paths in Colleges and Universities
Authors: Huang Sisi
Published: February 2024

Since there are fewer studies on the integration of ideological and political education and educational management in colleges and universities at present, this paper combines digital technology to explore. After constructing the index system of the level of college civic education and education management respectively, the index system is normalized, and the coupling level of college civic education and education management is measured by combining the objective empowerment method. Based on the coupling path of the two, the SCIR model is introduced to construct the digital information dissemination model of DR-SCIR social network to explore the synergistic dissemination of the two. On this basis, taking colleges and universities in location S as an example, the digital communication mechanism of the two is analyzed while exploring the level of coupling between college civic education and education management. The results show that the coupling level between the level of college civic and political education and the level of education management are all above 0.9 during 2013-2022 in place S, which is in the highly coupled interval, while the coupling coordination degree in 2019 exceeds 0.5 for the first time. During the process of information dissemination rate increasing from 0.4 to 0.8, the peak value of the dissemination of the information dissemination state of the college’s civic and political education decreases by 0.04, which corresponds to the dissemination of the information dissemination state of the education management the peak value of dissemination of the state increases by 0.03. The paths of higher education, civic education, and education management compete to actively guide the overall development of students.
Research on Precision Education Management Strategies for College Students Based on the Background of Informatization Innovation and Entrepreneurship
Authors: Wang Hui , Fan Pengfei
Published: February 2024

The complex new media environment has brought greater challenges to the education and management of college students in colleges and universities, and put forward higher requirements for the work of college students. In this paper, based on the Apriori algorithm of association rules, we extracted frequent itemsets from students’ performance data sets, and mined the association rules between students’ behaviors and the risk of failing the exams according to the confidence level and support level. The potential influence variables of students’ innovation and entrepreneurship ability are explored through factor analysis, the intrinsic connection between the original variables is analyzed, and structural equations are used to verify the fit and aggregation of the obtained factors. Based on the information on correlation rules between students’ behavior and performance, precise performance management strategies for students are proposed, and targeted management methods for innovation and entrepreneurship education are formulated. The results indicate that the level of interest correlates with the enrollment grades of A and D, which are respectively 0.569 and 0.403. The degree of support, confidence Xing, and the degree of interest of the student’s enrollment grades of D and graduation grades of A are 0.234, 0.535, and 0.694. It shows that the student’s grades have a strong correlation with their interest in learning, and the education management should pay attention to the cultivation of the student’s interest in learning.
A Semantic Map Study on the Rules of Place Names Setting in Ethnic Minority Areas in China
Authors: Yang Ya , Duan Jingjing
Published: February 2024

In this paper, for the information categorization of toponyms in ethnic minority agglomerations, different cultural partitioning results are derived by combining the region of interest model, which constitutes a specific semantic map of the region of interest model, i.e., a semantic map of the toponymic structure. The preference index of toponymic culture is taken as a feature variable, and the calculation of toponymic similarity in ethnic minority agglomerations is realized by adopting the method based on the difference of feature vectors. Dynamically determining the weights is used to evaluate the semantic similarity of spatial data for place names. To examine the distribution characteristics and distribution patterns of place names in ethnic minority agglomerations, kernel density and logistic regression models are utilized. The ratio of the number of place names of each ethnic group to the total number of county units is analyzed by Moran’s I index to obtain the spatial autocorrelation distribution direction of the distribution of place names in Yunnan Hani Autonomous County. The analysis shows that the spatial autocorrelation index of the Hani ethnic group is 0.3524, which mainly falls in the first, second and third quadrants, where the first quadrant indicates that the area around the region with a higher proportion of Hani ethnic group place names is likewise a positively correlated region with a higher proportion of Hani ethnic group place names. As per the semantic map analysis results, the spatial distribution of the population closely corresponds with the distribution of toponyms in ethnic minority areas.
Generative Adversarial Network-based Data Recovery Method for Power Systems
Authors: Yang Di , Ji Ming , Lv Yuntong , Li Mengyu , Gao Xuezhe
Published: February 2024

Facing the problem of power system data loss, this paper proposes a power system data recovery method based on a generative adversarial network. The power system clustering method utilizes aggregated hierarchical clustering and takes into consideration the similarity between different power system data. To transform the power system data recovery problem into a data generation problem, an improved GAN network data analysis method is proposed that utilizes LSTM as a generator and discriminator. Through experimental tests, the LSTM-GAN method is tested with the LSTM method, interpolation method and low-rank method to compare its effect on lost data recovery under different signals of power system data static and dynamic and four fault scenarios. The results show that the root-mean-square errors of the LSTM-GAN method for recovering data under static-dynamic fluctuations are less than 1.2%, and the difference between the errors under 55% and 15% missing data conditions is only 0.77%, with the highest data recovery error of 2.32% in the power system fault scenarios. Therefore, the GAN-based power system data recovery method can effectively realize the recovery of lost data.
Research on Digital Transformation of Vocational Education in the Era of Big Data
Authors: Ning Jincheng , Zhi Gang , Sun Zhenhua
Published: February 2024

In the process of development and transformation of vocational education, it is difficult for traditional methods to carry out a digitalized and accurate description of it. Aiming at the construction of the discipline of vocational education, this paper innovates the teaching method by constructing a knowledge graph and uses TF-IDF as the keyword extraction algorithm for entity extraction. To ensure that entity words are recognized accurately, LSTM neural units are utilized to eliminate problems related to gradient vanishing and explosion. On this basis, knowledge graphs are used to integrate heterogeneous data from multiple sources to apply knowledge graphs to the recommender system to create a personalized teaching model to provide schools with a digital transformation method for vocational education. Two different vocational schools tested the model design after it was completed. The analysis of the data revealed that knowledge points experienced an average decrease in error rate of 10-20%. The error rate of knowledge points 10, 11, and 12 did not change much, but the rate of student guessing decreased to 0. The percentage of users who improved their grades in the experimental class using the system by more than 0% was 5.90% higher than that of the normal class, the percentage of those who improved by more than 5% was 5.28% higher, and the percentage of those who had great improvement was 1.90%.
Deep Learning Based Image Recognition Technology for Civil Engineering Applications
Authors: Yang Delan
Published: February 2024

In this paper, we use Caffe framework to implement the improved Faster R-CNN recognition technique for building images in civil engineering under Linux system and add feature pyramid network and regional feature aggregation into the ResNet-50 network and ResNet-101 network, respectively, to strengthen the training effect, and establish ResNet-101+FPN+ROI Align image recognition technique. Simulated crack experiments and concrete surface quality defect detection experiments confirm that the ResNet-101 FPN ROI Align method is accurate and detects defects at a high rate. The method established in this paper has a minimum error of only 0.4% in the simulated crack experiment, and the detection rate is much higher than that of other detection methods when detecting quality defects on the concrete surface, and the accuracy can reach up to 94% at the same time. In civil engineering, the image recognition technology established in this paper has practical significance and high application value, as demonstrated by the experiment.
Construction of Knowledge Mapping of College Students’ Civic and Political Informatization Education in Colleges and Universities
Authors: Zheng Yu
Published: February 2024

This paper combines the knowledge related to the Knowledge Graph to store and manage the ideological knowledge in the schema layer in the form of an ontology repository. The Bootstrapping-based extraction method has been improved for entity relationship extraction at the data layer, and semantically constrained relationships have been added to reduce the problem of extraction bias. Civics education’s characteristic attributes are identified through attribute extraction using crowdsourcing. For the entity alignment problem in entity extraction, the relationship triad and attribute triad are jointly used for entity vector characterization, and the entity alignment model based on BERT and TransE is proposed. Finally, in the process of testing knowledge mapping, more than 70% of college students were satisfied, and the percentage of college students agreeing and strongly agreeing in the dimensions of knowledge construction were 68.81%, 77.92%, and 75.63%, respectively. In the six dimensions of positive psychological quality of college students who have used knowledge mapping, there is a significant increase in the data of the courage dimension from 3.4 to 4.14, and the other dimensions have also increased. The performance of the knowledge graph constructed in this paper for civic information education is outstanding.
Exploring the Impact of Digital Economic Development on Green Energy Consumption of Rural Residents Using Principal Component Analysis Methods
Authors: An Jing
Published: February 2024

The digital economy has become an important driving force for green energy consumption, and its impact has covered rural areas. This paper establishes a comprehensive evaluation model of green energy consumption based on group principal component analysis, and at the same time establishes evaluation indicators of the green energy consumption level of rural residents to explore the impact of the development of the digital economy on green energy consumption. Based on the comprehensive evaluation model and evaluation indexes, the green energy consumption level of rural residents in the “2+26” cities and the three major economic zones is analyzed. The rural areas with higher green energy consumption levels by 2022 include Tangshan, Jining, and Kaifeng, with 0.794, 0.788, and 0.852, respectively. The willingness of rural residents in the three major economic zones to consume green energy is in line with the trend of the degree of development of the digital economy, in which the willingness to consume green energy is highest among rural residents under the age of 20 in the eastern region, with an average of 4.81. At the same time, the development of the digital economy has a direct effect on the level of consumption of green energy. The regression coefficient of the direct effect on the level of green energy consumption is 0.289. Overall, the development of the digital economy has a greater promotion effect on the level and willingness of rural residents to consume green energy.