bluuebunny/crossref_metadata_2025 huggingface dataset:
Tráfico internacional de pessoas para fins de exploração sexual no contexto da dignidade humana
Authors:   , Laurentino Regiane de Oliveira
Published: February 2024

Este estudo pretende abordar o Tráfico Internacional de pessoas e a Proteção do Estado sob o prisma do Princípio da Dignidade Humana. O objetivo geral é investigar e analisar a relação entre Tráfico Internacional de Pessoas e a violação ao Princípio de Dignidade Humana, com enfoque em reflexões acerca do tráfico para fins de exploração sexual. Como objetivo específico, optou-se por discorrer acerca das medidas, políticas e legislação dispostas pelo ordenamento jurídico brasileiro no combate a essa prática, bem como compreender o tipo penal. O enfrentamento ao Tráfico de Pessoas constitui um dos maiores desafios para as autoridades brasileiras, sobretudo, devido ao seu caráter transnacional. Dessa senda, questionase: Quais os fatores colocam o país em tamanha evidência no cenário internacional? Quais os impactos trazidos pelo crime de tráfico de pessoas com intuito de exploração sexual à luz do Princípio da dignidade da pessoa humana, e como a legislação penal brasileira e normas internacionais tratam acerca desta temática para proteção e segurança do indivíduo? Sob o prisma metodológico, este estudo é de abordagem qualitativa, com base em pesquisa bibliográfica, e método dedutivo. A partir da bibliografia especializada, evidenciou-se os desafios para prevenção e o combate contra esse crime, bem como apontou-se para a necessidade de um trabalho articulado entre as autoridades nacionais e internacionais de combate ao tráfico de pessoas. Este artigo tem como intuito analisar a situação de vulnerabilidade das vítimas a luz da dignidade humana e analisar as normas legislativas de prevenção e punição dos envolvidos.
O direito digital e a responsabilidade civil do digital influencer no âmbito do direito do consumidor
Authors:   , Silva, Michele Camargo Silva, Michele Camargo
Published: February 2024

O presente trabalho tem como tema a relação do direito digital e o Código de Defesa do Consumidor e as respectivas responsabilidades civis do Digital Influencer no âmbito das relações de consumo. O objetivo principal é dispor sobre a vulnerabilidade do consumidor nas relações de consumo frente ao Digital Influencer, buscando averiguar as aplicações do direito, dispor as aplicações do CDC e apresentar informações e meios necessários de proteção ao consumidor.
O outro lado da Lei Maria da Penha e as falsas denúncias de violência doméstica
Authors:   , Paula Maria Augusta Medeiros de
Published: February 2024

Este artigo científico tem como objetivo apontar os principais avanços jurídicos trazidos pela lei 11.340/2006 e as principais questões que dificultam sua aplicação. Para isso, antes de tudo, o desenvolvimento histórico da referida lei no Brasil, a partir do processo de popularizar. Posteriormente, foram analisadas leis e disposições para trazer melhorias no tratamento da violência doméstica e diferentes métodos foram desenvolvidos. Limitar essas práticas, em última análise, levanta a questão da aplicação da lei. O método utilizado para atingir os objetivos do trabalho é um estudo por meio da análise de livros bíblicos, consulta a diversas fontes, como direito, livros, artigos, revistas. Por fim, pode-se concluir que a popular e conhecida Lei Maria da Penha teve muitas inovações e evoluções desde sua criação, mas ainda enfrenta muitas dificuldades em sua aplicação, devido a uma série de fatores, se houver, que não foram solucionados, deve-se priorizar o programa da família e a prevenção da violência contra a mulher.
Os efeitos provenientes da separação de fato perante a concessão da pensão por morte e a Súmula 336 do Superior Tribunal de Justiça
Authors:   , Santos Ana Carolina Ramos
Published: February 2024

Neste trabalho, será exposto as circunstâncias que prevalecem ao requerer a “Pensão Por Morte” (tratando-se do Regime Geral da Previdência Social), e quais dificuldades esses segurados se deparam, a fim de obter a concessão do referido benefício previdenciário. Desta forma, será apresentada a análise da controvérsia legislativa diante a falta de dispositivos legais que amparam as situações sociais, bem como, dispõe sobre a evolução histórica e os princípios que norteiam a Pensão Por Morte. Desta maneira, com o advento da sociedade, e todas as questões intrínsecas ao desenvolvimento humano e as suas formas de relacionamento, é de suma importância preservar e adequar o princípio da Igualdade, de maneira pelo qual o entendimento de separação, seja esta de fato ou judicial, seja tratado com equivalência. Diante da realidade, o presente artigo exibe a análise, principalmente das jurisprudências atuais, artigos científicos e doutrinas que esclareçam e nos enfatizam informações pertinentes ao caso. Inclusive, verificando as diversas lacunas jurídicas diante ao tema, nota-se a relevância da complementação destas por meio de analogia. Portanto, neste momento, se torna imprescindível o aprofundamento dos entendimentos jurisprudenciais. E, havendo êxito em constatar a “necessidade econômica superveniente”, a benesse em questão, deverá amparar o segurado que o pleiteia, conforme dispõe a Súmula 336 do Superior Tribunal de Justiça.
Data Drought in the Humid Tropics: How to Overcome the Cloud Barrier in Greenhouse Gas Remote Sensing
Authors: Frankenberg Christian , Bar-On Yinon Moise , Yin Yi , Wenberg Paul O. , Jacob Daniel J. , Michalak Anna M
Published: February 2024

Diagnosing land-atmosphere fluxes of carbon-dioxide (CO$_2$) and
methane (CH$_4$), is essential for evaluating carbon-climate
feedbacks. Greenhouse gas satellite missions aim to fill data gaps in
regions like the humid tropics, but obtain very few valid measurements
due to cloud contamination. We examined data yields from the Orbiting
Carbon Observatory alongside Sentinel 2 cloud statistics. We find that
the main contribution to low data yields are frequent shallow cumulus
clouds. In the Amazon, the success rate in obtaining valid measurements
vary from 0.1\% to 1.0\%. By far the
lowest yields occur in the wet season, consistent with Sentinel 2 cloud
patterns. We find that increasing the spatial resolution of observations
to $\sim$200\,m would increase yields by
2-3 orders of magnitude, and allow regular measurements in the wet
season. Thus, the key effective tropical greenhouse gas observations
lies in regularly acquiring high-spatial resolution data, rather than
more frequent low-resolution measurements.
Biochemical and Pathological Parameters Pertaining to Cardiovascular Disorders
Authors: Mishra Sanjay
Published: February 2024

Metabolic syndrome (MS) has become the major health hazard of modern world among all non-communicable diseases (NCDs) and mainly feeds into the spread of the diseases like type-2 diabetes (T2DM) and atherosclerotic cardiovascular disease (ASCVD).
Diagnosing Poverty Eradication Through Literacy: Analysis from Indonesia National Socioeconomic Survey
Authors: Firmansyah Cyril Anfasha , Suherman Moch Fauzi Alfandri , Akmal Putri Nabila , Anisa Archie Flora , Sihaloho Estro Dariatno
Published: February 2024

Literacy can be interpreted as a tool for the development of global society. However, the low literacy rate in Indonesia obstructs the quality of human resource improvement in education. Based on data from the PISA (2019), Indonesia is ranked 62nd in the literacy level from 70 countries. Quality of education is one of the economical ways to reduce the illiteracy that is interrelated to poverty. A question arises as to whether literacy-based cognitive abilities can reduce poverty . Previous studies on education for poverty eradication were limited to the regular cognitive domain. This study attempts to fill that gap. A Probit regression model was used with the probability of becoming poor as the dependent variable. A set of literacy-based cognitive abilities, such as age, gender, education level, and geographical factor are used as explanatory variables. According to 2019 National Socioeconomic Survey data, the analysis indicated that literacy-based cognitive abilities have a significant negative impact on poverty. Literacy has often been limited to the ability to read, write, and perform basic arithmetic. In order people to function effectively in their communities, the government should put focus on education attainment that cultivates functional literacy. It refers to the practical skills needed to read, write, and perform math for real-life purposes.
Testing The Environmental Kuznets Curve (EKC) Hypothesis in Indonesia and India: Autoregressive Distributed Lag (ARDL) Model Approach
Authors: A'yun Indanazulfa Qurrota , Nasir Muhammad Safar , Nasir Zarul Azhar bin , Abdulkarim Fatima Muhammad , Hussain Murtaza
Published: February 2024

The achievement of economic growth is equally important as environmental sustainability. Economic growth is considered capable of enhancing the overall welfare of society. However, there is a sacrifice stemming from economic growth in the form of negative external impacts. Therefore, the objective of this study is to examine the Environmental Kuznets Curve (EKC) hypothesis in Indonesia and India. The EKC hypothesis connects economic growth with CO2 emissions. The Autoregressive Distributed Lag (ARDL) model is employed to assess both the long-term and short-term impacts of economic growth on CO2 emissions in Indonesia and India. Additionally, the study seeks to comprehend the applicability of the Environmental Kuznets Curve (EKC) hypothesis in these countries over the period of 1965-2021. The research findings indicate that economic growth has a significant impact on CO2 emissions in the short term, but this influence is not sustained in the long term in Indonesia. In contrast, in India, economic growth does not exhibit a significant effect on CO2 emissions in the short term, but it does have a notable impact in the long term. This implies that Indonesia does not align with the Environmental Kuznets Curve (EKC) hypothesis in the long term, while India is anticipated to adhere to the EKC hypothesis in the future.
KAJIAN DINAMIKA PERATURAN DAN KEBIJAKAN PENATAAN RUANG TERHADAP MUATAN PERATURAN DAERAH TENTANG RENCANA TATA RUANG WILAYAH KABUPATEN NIAS BARAT
Authors: Gulo Analisis , Mendoza Mhd Dominique , Pangaribuan Wanapri
Published: February 2024

The implementation of spatial use, the dynamics of development as well as the development of the strategic environment in recent years, have often influenced the implementation of the West Nias RTRW as a reference in development. This sometimes causes an imbalance in the arrangement of a space or region. This paper aims to review the suitability of the content of the West Nias RTRW with regulations and policies related to spatial planning. Based on the results of the study, it is concluded that it is necessary to renew the technical material for the RTRW of West Nias Regency by adjusting the dynamics of the latest spatial planning regulations and policies. It is also hoped that there will be serious attention from the local government regarding the sustainability of funding to the stage of stipulation of the Regional Regulation on the revision of the RTRW, as well as the placement of human resources with a spatial planning background in technical OPD.Keywords: spatial planning, RTRW revision, West Nias Regency
Methodological aspects of investment and construction projects management based on IPD, BIM, LEAN. Foreign experience
Authors: Kustov V. S. , Dmitriev A. G.
Published: February 2024

Overexpenditure of cost and time resources is one of the most significant problems, and cost certainty is one of the key goals of the construction industry in Russia. Using the method of an analytical review of documents, the main problems of the European construction sector that exist in the process of its digital transformation were identified and characterized. Research has shown that the interdisciplinary synergy of BIM (Building Information Model, digital information model), Lean (lean manufacturing) and IPD (Integrated Project Delivery, integrated project execution) can benefit an investment and construction project (ICP) throughout its entire life cycle . However, such a synergetic approach is not currently applied in Russian projects. The article examines the impact of innovative international strategies for implementing COI and examines the obstacles to the implementation of these strategies in Russia.

3 key takeaways:

1) review of COI contracts to achieve the greatest synergy and increase trust between stakeholders;

2) the BIM mandate is important to encourage the use of modern construction methodology in all ISPs in Russia;

3) search for innovative methods of changing traditional thinking about construction.

Consideration of three main ideas will accelerate the implementation of COI in Russia, leading to better results in the short, medium and long term for all stakeholders.
Los estudios comparativos en el campo de la investigación urbana
Authors: Schteingart Martha , Sierra Andrés
Published: February 2024

Este trabajo examina el papel del método comparativo en la investigación urbana, prestando atención a su utilidad en la generación de teoría, y a las particularidades de las comparaciones entre ciudades de distintas regiones. Para ello, se realiza una revisión de la literatura al respecto y se propone un agrupamiento en líneas temáticas que, sin la intención de ser muy rígido, contribuye a identificar las características de estos estudios. También se presentan reflexiones que emergen de la revisión de los estudios comparativos de una de las autoras del artículo, y de su lectura en paralelo con investigaciones más recientes que incorporan dicho método. Las conclusiones señalan algunos rasgos relevantes que influyen en las características de los estudios comparativos y sugieren que éstos seguirán siendo pertinentes en la investigación urbana mientras eviten visiones deterministas o esencialistas sobre las ciudades.
traductor visto: glocalización y recepción del manga traducido al español en Argentina
Authors: Labra Diego
Published: February 2024

El manga, como se denomina fuera de Japón a la historieta japonesa, ha atravesado un largo proceso de circulación global en el siglo XXI. Argentina no fue la excepción. Mas estos productos culturales no son una sustancia etérea que circula de manera libre alrededor del mundo. Sí estos han logrado recalar con éxito en ese país del Cono Sur, fue gracias a la actuación de mediadores locales y extranjeros que tomaron el original japonés y lo glocalizaron. Es decir, lo transformaron, mediante una serie de operaciones editoriales, en un impreso plausible de ser consumido por el público lector local. En este artículo ensayamos un primer acercamiento analítico a dicho proceso, aún no discutido en la bibliografía existente, con énfasis en la traducción entendida en un sentido amplio. Centrándonos en el caso de la línea manga de Ivrea lanzada en 1999, nos interesa dilucidar cuáles fueron las condiciones específicas por las cuales estas operaciones se llevaron delante a la intemperie, de manera vista y comentada.
mismo mar de todos los veranos: desde una traducción femenina hacia una traducción feminista
Authors: Yu Sicong
Published: February 2024

Con un estilo de narración que podría enmarcarse en la técnica del flujo de conciencia, Esther Tusquets refleja en su novela El mismo mar de todos los veranos una voz femenina restringida bajo el yugo patriarcal mediante el controvertido tema del lesbianismo. El presente trabajo toma esta novela como objeto para llevar a cabo un análisis tanto extratextual como intratextual de su traducción castellano-china. El objetivo es observar los factores que contribuyen a la publicación de la obra en China y si las estrategias adoptadas por la traductora han contribuido, por una parte, a que se transmita la intención emisora y, por otra, a que el texto meta cumpla una funcionalidad aproximada a la del texto original.
Artificial Intelligence, Big Data, and Regulation of Immunity: Challenges and Opportunities
Authors: Singh Bhagirath , Jevnikar Anthony M. , Desjardins Eric
Published: February 2024

The immune system is regulated by a complex set of genetic, molecular, and cellular interactions. Rapid advances in the study of immunity and its network of interactions have been boosted by a spectrum of “omics” technologies that have generated huge amounts of data that have reached the status of big data (BD). With recent developments in artificial intelligence (AI), theoretical and clinical breakthroughs could emerge. Analyses of large data sets with AI tools will allow the formulation of new testable hypotheses open new research avenues and provide innovative strategies for regulating immunity and treating immunological diseases. This includes diagnosis and identification of rare diseases, prevention and treatment of autoimmune diseases, allergic disorders, infectious diseases, metabolomic disorders, cancer, and organ transplantation. However, ethical and regulatory challenges remain as to how these studies will be used to advance our understanding of basic immunology and how immunity might be regulated in health and disease. This will be particularly important for entities in which the complexity of interactions occurring at the same time and multiple cellular pathways have eluded conventional approaches to understanding and treatment. The analyses of BD by AI are likely to be complicated as both positive and negative outcomes of regulating immunity may have important ethical ramifications that need to be considered. We suggest there is an immediate need to develop guidelines as to how the analyses of immunological BD by AI tools should guide immune-based interventions to treat various diseases, prevent infections, and maintain health within an ethical framework.
Innovative Development of Civic and Political Education in Higher Vocational Colleges and Universities in the Context of Multiculturalism
Authors: Li Dan
Published: February 2024

Multicultural integration brings opportunities and challenges to the field of education, and the innovation of Civics education in higher vocational colleges and universities becomes increasingly essential. In this paper, the reinforcement learning algorithm is used to construct a Civics teaching mode with precise teaching intervention, which quantifies students’ learning ability and learning status by combining the Civics learning ability level parameter. The difficulty coefficient of Civics exercises determines the students’ mastery of Civics content. Based on the students’ Civics learning ability and learning status, a precise teaching intervention strategy was formulated, and the teaching intervention was used in practice to explore the effectiveness of the accurate intervention Civics teaching model in terms of the change of students’ ability and performance. The results show that under the Precision Intervention Civics Teaching Model, students with low collaborative learning and high problem-solving ability changed from unidirectional PR→RS to bidirectional PA↔PR, indicating that the Precision Intervention Teaching Model can improve students’ learning ability. The passing rate of students under this model were maintained at 70%, the average score was above 70, and the students’ performance in Civics was significantly improved compared with the traditional teaching model.
Exploration of Informatization Teaching Mode of College Students’ Psychological Education Courses under Cognitive Behavioral Theory
Authors: Li Juanwei , Zhang Yingbo , Xu Yonghong
Published: February 2024

This paper discusses the informatization teaching mode of college students’ psychoeducation courses under the cognitive-behavioral theory, highlighting the importance of informatization in education and the changes in psychoeducation courses in the past 30 years. Effective identification of college students’ psychological characteristics, especially in the early identification and intervention of psychological crisis, was realized through graph neural networks and attention mechanisms. The study involved extensive data analysis, including the psychological identification of 189,134 images of students’ study screens and the analysis of the psychological characteristics of study screens from multiple dimensions. In addition, the study designed a psychoeducational management system based on graph convolutional neural networks, which can recognize students’ psychological states and provide real-time feedback. The analysis of college students’ psychological emotions in the COVID-19 epidemic revealed the association between students’ stress reactions and the development of the epidemic and the virus mutation rate, which emphasized the necessity of the innovative “Internet+” psychoeducational model. Overall, this study provides theoretical and practical support for improving the effectiveness of psychoeducation, and demonstrates the potential application of information technology in psychoeducation.
Research on teaching reform and practice of architectural design courses in colleges and universities based on big data analysis
Authors: Lv Dihua
Published: February 2024

In this paper, we carry out an innovative reform of architectural design professional courses in colleges and universities, focusing on improving the effect of practical teaching by combining knowledge maps and new technological means. Aiming at the problems of long practice cycle, high cost and difficulty verifying the effect in traditional teaching, it promotes the transformation of teaching mode to immersion, interaction and autonomy. The article discusses the application of knowledge maps in optimizing the course content, improving the effect of teaching organization, such as the association model of knowledge elements and learning resources, and calculating the ontological conceptual similarity of knowledge nodes. Meanwhile, the introduction of augmented reality technology and the Analysis of the correlation between learning styles and academic performance highlight the critical role of technology in enhancing the efficiency and quality of learning. The difference in average grades before and after the teaching reform in the experimental class was significant, with the most enormous difference of 10.76 points in the second round of test results. The most significant improvement was observed in the knowledge part of the course, with an increase of 0.72, and in the practical part, with an increase of 0.39. The students’ architectural design and practice skills were significantly improved in all dimensions. The teaching reform program proposed in this paper effectively enhances the architectural design program’s teaching quality and students’ practical ability.
SPOC Flipped Classroom Blended Teaching Reform Practices in the Context of Digital Transformation
Authors: Peng Peilan , Wang Juan
Published: February 2024

The article establishes a blended teaching model of SPOC flipped classroom in colleges and universities, and uses probability matrix decomposition and time effect techniques to personalize the recommendation of combined learning resources. Taking the English teaching course in University A of City D as a case study, the study investigated the effects of the teaching model on students’ essential quality, basic skills, learning attitude and satisfaction. The study results showed that in the experimental class, the average score of students in the self-introduction expression program was 16.46 points higher than that of the control group. In addition, the emotional experience improved the most before and after the experiment, and the improvement in the experimental class amounted to 36.41 percentage points. Meanwhile, over 80% of the students expressed great satisfaction with this teaching mode. The study shows that relying on the SPOC flipped classroom blended teaching mode not only enhances the attractiveness of the course to students, but also significantly improves students’ learning effectiveness and satisfaction.
The Value and Use of Chinese Traditional Music in Dance Performance in the Internet Era
Authors: Jiao Pengcheng
Published: February 2024

In this study, Gaussian mixture model preprocessing and histogram of orientation gradient (HOG) and histogram of optical flow direction (HOF) action feature extraction techniques are used to significantly optimize the accuracy of dance performance action recognition. In addition, the VNect pose estimation algorithm and dual-stream 3D-CNN-based skeleton action recognition are used to improve significantly the accuracy and efficiency of recognition. In terms of music feature recognition, this study utilizes short-time time domain and frequency domain analysis techniques and BP neural networks to effectively achieve accurate recognition and sentiment classification of music features. Analyzing a dataset containing 6000 training videos, 800 validation videos, and 1200 test videos, the study reveals that musical elements, melody, rhythm, emotional tone, and song style significantly impact the stage performance effect. The study not only highlights the importance of traditional Chinese music in dance performance to enhance the artistic effect and deepen the emotional expression, but also opens up new perspectives and methods for disseminating and developing traditional culture.
Informatization Innovation Practice of Labor Education in Colleges and Universities in the New Era
Authors: Shao Zhuping
Published: February 2024

This paper discusses the informationization innovation practice of labor education in colleges and universities in the new era, focusing on the Analysis of labor education test question correlation mining and learning situation clustering. It is found that students make more mistakes in the knowledge point of “ideological cognition”, and if they make mistakes in this knowledge point, they are also prone to make mistakes in other knowledge points. The academic clusters were categorized into excellent learners, average learners and risky learners, in which the average classroom participation score of exceptional learners was 10.26, and the average classroom quiz score of intermediate learners was 16.99. Correlation analysis shows that the correlation between attendance and assignment score is 0.73, the correlation between video viewing length and number of labors is 0.66, and the correlation between classroom activeness and quiz scores is 0.49. These data emphasize the critical role of information technology teaching in enhancing the learning effect, and reveal the problem of insufficient self-learning ability of some students.
Design and Implementation of Smart Teaching for Computer Courses in Colleges and Universities Enabled by Artificial Intelligence Technology
Authors: Wang Kan
Published: February 2024

In this study, an intelligent decision support system for education was successfully constructed by integrating data mining techniques, evaluation similarity matrix and novel braided net clustering method. Based on the evaluation similarity matrix, this system brings together decision-making members with similar views through clustering analysis. It calculates these categorized groups’ preferences, consistency indexes, and decision values to derive the optimal solution. The research in this paper empirically validates the effectiveness of the intelligent decision support system against the background of actual teaching scenarios and with all students in their classes as the research subjects. The validation results show that in the Powerpoint Practical and PS Practical tests, the average scores of the students in the experimental class reached 87.1 and 86.2, respectively, and this score is significantly higher than that of the control class. In addition, in the Analysis of the four dimensions of pre-course learning behavior (including interest in learning, attitude toward learning, etc.), the mean values of the experimental class (4.46, 3.99, 3.89, 4.18) were also significantly higher than those of the control class (3.2, 2.73, 2.94, 2.89). The application of the Intelligent Decision Support System increased students’ learning interest and effectively improved their performance in both machine and written tests. The main effect of its teaching method is significant with an F-value of 18.029 and a P-value of less than 0.001. The results of this study confirm the practical application of intelligent decision support systems in teaching and learning, and provide a new methodology and perspective for computer-intelligent teaching.
National Image Construction Based on Multimodal Translation in the Context of Big Data
Authors: Wang Lun
Published: February 2024

This study focuses on the public’s perception of a specific country’s image, and adopts comment texts from multimodal translated materials as the object of analysis. A country image text perception model was established by combining the TextRank algorithm and the LDA topic model. The model extracts and categorizes themes from the collected comment data, and discusses in depth the different themes of country image and their degree of attention. It is found that the most popular theme is “economic dimension”, with a heat degree of 42.59%, followed by “regional development” and “political dimension”. This reflects the high level of public interest in these areas. In addition, the study quantified the public’s emotional disposition towards the country’s image and found that most people have a positive attitude towards the country, with a high percentage of positive sentiment of 84.89%, but most of them are mildly positive. This suggests that although the public’s overall perception tends to be positive, there is room to improve the country’s image and enhance the public’s positive perception.
Analysis of the correlation between balance ability of Wushu athletes and their physical training loads
Authors: Zhang Lili
Published: February 2024

This paper focuses on 30 Wushu athletes of different age groups as a research sample, and uses the improved gray correlation analysis to explore the relationship between balance ability and physical training load. Finding the correlation from the time series of randomness can provide the basis for the factor analysis, the precision analysis of prediction, and then determine the main factors. The test results of load and balance ability are briefly analyzed by setting up the measurement indexes of balance ability and three kinds of physical training programs of load. It can be seen that the average value of one-legged closed-eye standing time after HIIT and FATmax interference is 64.24 and 46.9 respectively, which is increased. Then the gray correlation method was used to analyze the HIIT, FATmax and each balance force index, and it was concluded that in the gray correlation analysis, the value of ρ is usually taken in the range of {0,1} interval, and according to the experience, here ρ is taken as 0.5. The correlations in the results were all above 0.5, which indicated that the selected indexes had a high degree of correlation with the balance force. The HIIT is the major closed-eye one-legged standing performance of the Wushu athletes influencing factor with the highest correlation.
Environmental Art Design of Tourist Attractions with Regional Culture Fusion and Digital Innovation
Authors: Chen Zhanfang , Song Dan
Published: February 2024

In the rapid development of society, the combination of information technology and scenic environmental art design is getting closer, bringing a new creative perspective and broad space for the design field. This paper explores the integration path of information technology, regional culture and environmental art design based on this trend. It puts forward an innovative optimization strategy of ecological art design for tourist scenic spots and successfully applies it to scenic places. To verify the effectiveness of this design strategy, the article adopts BP neural network model. It combines it with genetic algorithm for deep optimization to enhance the objective evaluation of the design results. To verify the effectiveness of this design strategy, the article adopts the BP neural network model. It combines the genetic algorithm to optimize it in depth, enhancing the objectivity of evaluating the design results. After rigorous testing and analysis, the design strategy of this paper has achieved remarkable optimization effects in the lighting, ecological and cultural design of the scenic area, especially in the picturesque area of mountain diversity and forest landscape, showing a high degree of diversity, the average value reached 4.75% and 4.75% respectively. At the same time, the average value of the planting proportion of native tree species surpasses 4.6, which proves that the optimized design strategy plays a crucial role in protecting and enhancing the ecology and culture of the scenic spot.
Information Integration Technology Helps the High Quality Development of Chinese International Education
Authors: Sun Yipeng
Published: February 2024

As China’s position in the international arena continues to rise, and its interaction with the rest of the world increases, Chinese language international education has received widespread attention and developed rapidly. Based on information fusion technology, this paper constructs a vocabulary frequency analysis model that combines Bayesian estimation and D-S evidential reasoning, specifically used to calculate the hotness value of Chinese language international education. In the in-depth analysis of the Chinese language international education field, high-frequency words reflect the core themes in teaching and learning. At the same time, centrality indicates the degree of interconnection among the research themes. In the in-depth analysis of the Chinese international Education field, high-frequency vocabulary reflects the core teaching and learning themes, and the centrality indicates the degree of interconnection among the research themes. The frequency of Chinese as a foreign language is as high as 170 times, with centrality reaching 0.33, and these high-frequency keywords constitute the cornerstone of the development of Chinese international Education in China. When analyzing the data of the foreign students coming to China, it is found that the Number of Asian students accounted for 59.29% of the total number of 274976 students by the end of the study period. By 2022, the number of colleges and universities enrolling international students in China will increase to 831, and the Chinese global education market will reach 7.56 billion yuan in 2022, showing a saturated market status. The information fusion technology adopted in this paper not only reveals the development trend of Chinese international Education, but also provides a powerful analytical tool to promote the high-quality development of this field. A powerful analyzing tool.
A study on the administration of career guidance to college students in higher education based on mental health education assessment data
Authors: Wang Lang
Published: February 2024

Currently, college students are facing severe employment challenges. To address this, this study uses mental health education assessment data to explore how to optimize the employment guidance and management of college students in order to enhance their employability and psychological adaptability. Decision tree algorithm and improved K-means clustering algorithm are used to analyze the mental health assessment data in depth. Data mining techniques were used to identify students’ employment tendencies and psychological characteristics so as to develop personalized employment guidance strategies. It was found that the accuracy and effectiveness of career guidance can be effectively enhanced through a data-driven approach. Specifically, the accuracy of predicting employment tendency using the decision tree model reaches 85%, while the application of the improved K-means algorithm for clustering analysis of students’ psychological characteristics enables more precise customization of employment guidance strategies. Comprehensive data analysis and psychological assessment can significantly improve the quality of employment guidance for college students. Colleges and universities should pay attention to the use of mental health assessment data, combined with data mining technology, to optimize career guidance and management, in order to help students better adapt to the workplace and enhance their employment competitiveness.
Research on Development of Higher Vocational Education Resources and Construction of Management System under Learning Migration Theory
Authors: Wei Hanwu
Published: February 2024

This paper discusses how to construct a higher vocational education resource development and management system under the framework of learning transfer theory in order to improve the utilization efficiency of educational resources and the quality of education. This study explores how to effectively develop and manage higher vocational education resources under the guidance of learning transfer theory. This paper constructs a new resource management framework for higher vocational education by adopting the statistical and geometric migration criterion. The study results show that the utilization efficiency of higher vocational education resources is significantly improved through the transfer learning algorithm, for example, the matching degree of learning resources is increased by 30% and the teaching effect is enhanced by 20% after applying the transfer learning method. In addition, student learning effectiveness increased by 25% by implementing an improved learning migration framework. The study’s conclusion points out that the development and management of higher vocational education resources can be effectively optimized through the rational use of transfer learning theory, thus improving the quality and efficiency of teaching.
Analysis and Research on Mine Safety and Management Methods in the Context of Big Data
Authors: Xu Jie
Published: February 2024

The optimization of mine safety and management methods is critical in the context of big data. This study will explore improving mine safety and management efficiency by utilizing CPS. A mine data interaction mechanism is constructed using CPS technology to realize efficient data collection and processing. The study profoundly explores the data interaction of end devices and the value model of computing resources by analyzing the mine CPS perceptual execution layer. The results show that CPS technology can significantly improve the efficiency of mine safety management. For example, the introduced CRV incentive mechanism significantly improves the utilization efficiency of computing resources. In addition, this study also explores the scheduling strategy of computing resources under multi-objective constraints and the implementation of mine scheduling based on the MOCA-PSO algorithm, which effectively optimizes resource allocation and utilization. The conclusion shows that applying big data technology and CPS can effectively improve mine safety and management, which is of great significance in guiding the future development of the mining industry.
Application of FinTech in Digital Banking Operations in the Information Age
Authors: Fang Qianqian
Published: February 2024

In recent years, the rapid development of FinTech has attracted widespread attention globally. It not only brings unprecedented challenges to the financial industry, but also inspires significant reforms and innovations in banks’ internal operations. In this paper, based on the support of fintech, the Harris Hawk algorithm is used to optimize the GRU algorithm to construct an efficient digital operation system for banks. This system focuses on improving and enhancing the operation work of different business areas within the bank. After applying this system, the bank has combined fintech with risky operational work, resulting in an average capital adequacy ratio of 12.97, which is strong evidence of the bank’s high affordability in risk management. In addition, the banks’ efficiency of technological advancement grew at an average annual rate of 0.4%, which is the most significant change, showing a trend of growth in tandem with total factor productivity. The scale efficiency has an average annual growth rate of 0.5%, which further demonstrates the system’s significant effectiveness in enhancing banks’ operational efficiency. The system proposed in this paper can effectively promote the digitization process of bank operations and significantly improve banks’ operational efficiency and risk management capability.
Chemical Automation Control Based on Intelligent Optimization Algorithm in the Background of “Internet+”
Authors: Huang Xianglong
Published: February 2024

Driven by artificial intelligence technology and the popularization of the “Internet +” concept, many chemical enterprises have gradually transformed to production automation. However, regarding automation control, these enterprises often still have certain deficiencies. Because of this, this paper proposes an ant colony optimization algorithm to find the best path for the automation control of chemical enterprises. It builds a chemical automation control system based on it. This system mainly focuses on monitoring and managing various aspects of chemical enterprises. After introducing this control system, it conducts in-depth research and Analysis on the production capacity and equipment safety of enterprises. Test results show that the chemical control system constructed in this paper can effectively maintain the standard output of the production equipment in the interval of [16,25] per second, and the maximum output per hour is up to 1017. At the same time, the quality of the production products of the PPM index value continues to be at a high level. In addition, the automated control system can provide early warning of potential equipment hazards by monitoring different levels of current fluctuations. The chemical automation control system proposed in this paper shows excellent performance in detecting and controlling the automated production process in chemical companies.
Digital Application of Construction Project Cost Risk Control and Management Based on BIM Technology
Authors: Li Xiufang , Jia Xiaorui , Huang Mingqiang
Published: February 2024

The core objective of this study is to explore the application of BIM technology in the whole process of cost management of construction projects and to assess the project risk. The study covers the key stages of project planning, design, transaction and construction, and focuses on analyzing the cost management process of investment decision, design estimate, transaction and construction. Through questionnaire surveys and expert interviews with 72 valid samples, this study collects data on green building and analyzes the quality of the risk assessment data. Through questionnaire survey and expert interviews with 72 good samples, this study collects data on green building and analyzes the quality of the risk assessment data. In establishing the BIM-based project cost risk model, the study analyzes the management elements of BIM and IPD in detail, including the quantification of technical and management components. three case projects show that the application of BIM and IPD technologies in different projects has different focuses, and produces other management effects. for example, the number of engineering changes (e.g., the number of changes to the project) exhibited by the project B For example, the number of project changes (NCO) is 35, the cost change rate (COP) is 0.93%, the duration change rate (DCP) is −10.25%, and the number of contract negotiations (NRFI) is 6. The risk evaluation model is applied in a mixed-use project in Xiamen, China, and the results of the simulation experiments show that the method is effective in realizing the risk assessment of the construction project, and the clustered nature of the output features is good. The average value of the risk fuzzy variable is 0.576, and the minimum value is 0.192.
Cross-border E-commerce Business Data Processing in the Background of Digital Economy
Authors: Mo Haiyan , Huang Tao
Published: February 2024

This paper analyzes the cross-border e-commerce industry chain, and explores its customer value and impact on marketing strategy through data mining techniques.The whole process data mining methodology of data cleaning, integration, selection, transformation, mining, pattern evaluation and knowledge representation is adopted to deal with the cross-border e-commerce data.This paper focuses on the analysis of the customer value, the construction of the user profile, and the user behavioral patterns based on RFM model.The results show that the customer value is mainly determined by the customer life cycle and the purchase rate. The results show that the customer life cycle and purchase rate mainly determines the customer value of cross-border e-commerce.In the construction of user profiles, the characteristics and behavioral patterns of different users can be effectively identified through data standardization and the construction of user attribute models.The RFM model reveals the different levels of the user’s activity level, consumption ability and consumption value, which provides the basis for formulating differentiated marketing strategies.The data show that among the 4,130 user samples, the user behaviors and behavioral patterns were identified through clustering and knowledge representation. In the sample of 4130 users, cluster analysis shows that most of the users (72.64%) are ordinary customers. In contrast, the proportion of high-value customers (VIP customers) is only 0.24%, which suggests that cross-border e-commerce platforms need to formulate corresponding service and marketing strategies for different user groups to improve customer satisfaction and purchase conversion rate. At the same time, the cross-border e-commerce industry is experiencing changes such as platform fission, marketing innovation, and sinking of service targets, which poses new challenges and opportunities for e-commerce platforms’ operation and management.
Current Situation and Trend of Internationalization Development of Higher Education in the Context of Internet
Authors: Chen Lijie , Liang Guanping
Published: February 2024

Under the background of the Internet era, this article emphasizes the importance of internationalization of higher education in the strategic adjustment and acceleration of opening up to the outside world. The article analyzes the internationalization development policy and talent cultivation mode of higher education. It applies structural equations and kernel principal component analysis to study the influencing factors of internationalization of education and the level of its development. Taking the 12 colleges and universities in the city of M as the objects of the study, the impact of these indicators on the development of internationalization of education is explored after constructing the indicators of internationalization of education. After making the evaluation indexes of internationalization of education, the influence of these indexes on the development of internationalization of education was explored, and the principal component coefficients of the indexes and the principal component scores of the universities were calculated through principal component analysis to assess the development level of internationalization of education in the universities. The results showed that all the influencing factors were positively correlated at the 0.05 significance level, and the standardized coefficients ranged from 0.1 to 0.5, which indicated that these factors had a medium degree of influence on the internationalization of education. In particular, the correlations with the number of foreign exchange students, the number of visitors and the number of professional teachers are high, so the article suggests expanding the enrollment of foreign students and strengthening international exchange and cooperation to further improve the level of internationalization of education.